Cloud computing has been envisioned as the de-facto solution to the rising storage costs of IT Enterprises. With the high costs of data storage devices as well as the rapid rate at which data is being generated it proves costly for enterprises or individual users to frequently update their hardware. Apart from reduction in storage costs data outsourcing to the cloud also helps in reducing the maintenance.
Cloud storage moves the user’s data to large data centers, which are remotely located, on which user does not have any control. However, this unique feature of the cloud poses many new security challenges which need to be clearly understood and resolved. We provide a scheme which gives a proof of data integrity in the cloud which the customer can employ to check the correctness of his data in the cloud. This proof can be agreed upon by both the cloud and the customer and can be incorporated in the Service level agreement (SLA).
Purpose of developing proofs for data possession at untrusted cloud storage servers we are often limited by the resources at the cloud server as well as at the client. Given that the data sizes are large and are stored at remote servers, accessing the entire file can be expensive in I/O costs to the storage server.
Also transmitting the file across the network to the client can consume heavy bandwidths. Since growth in storage capacity has far outpaced the growth in data access as well as network bandwidth, accessing and transmitting the entire archive even occasionally greatly limits the scalability of the network resources. Furthermore, the I/O to establish the data proof interferes with the on-demand bandwidth of the server used for normal storage and retrieving purpose.
Cloud storing its data file F at the client should process it and create suitable meta data which is used in the later stage of verification the data integrity at the cloud storage. When checking for data integrity the client queries the cloud storage for suitable replies based on which it concludes the integrity of its data stored in the client. our data integrity protocol the verifier needs to store only a single cryptographic key – irrespective of the size of the data file F- and two functions which generate a random sequence. The verifier does not store any data with it. The verifier before storing the file at the archive, preprocesses the file and appends some meta data to the file and stores at the archive.
Our scheme was developed to reduce the computational and storage overhead of the client as well asto minimize the computational overhead of the cloud storage server. We also minimized the size of the proof of data integrity so as to reduce the network bandwidth consumption. Hence the storage at the client is very much minimal compared to all other schemes that were developed. Hence this scheme proves advantageous to thin clients like PDAs and mobile phones.
The operation of encryption of data generally consumes a large computational power. In our scheme the encrypting process is very much limited to only a fraction of the whole data thereby saving on the computational time of the client. Many of the schemes proposed earlier require the archive to perform tasks that need a lot of computational power to generate the proof of data integrity. But in our scheme the archive just need to fetch and send few bits of data to the client.
Data outsourcing to cloud storage servers is raising trend among many firms and users owing to its economic advantages. This essentially means that the owner (client) of the data moves its data to a third party cloud storage server which is supposed to – presumably for a fee – faithfully store the data with it and provide it back to the owner whenever required.
As data generation is far outpacing data storage it proves costly for small firms to frequently update their hardware whenever additional data is created. Also maintaining the storages can be a difficult task. Storage outsourcing of data to cloud storage helps such firms by reducing the costs of storage, maintenance and personnel. It can also assure a reliable storage of important data by keeping multiple copies of the data thereby reducing the chance of losing data by hardware failures.
Storing of user data in the cloud despite its advantages has many interesting security concerns which need to be extensively investigated for making it a reliable solution to the problem of avoiding local storage of data. In this paper we deal with the problem of implementing a protocol for obtaining a proof of data possession in the cloud sometimes referred to as Proof of retrievability (POR).This problem tries to obtain and verify a proof that the data that is stored by a user at a remote data storage in the cloud (called cloud storage archives or simply archives) is Not modified by the archive and thereby the integrity of the data is assured.
Such verification systems prevent the cloud storage archives from misrepresenting or modifying the data stored at it without the consent of the data owner by using frequent checks on the storage archives. Such checks must allow the data owner to efficiently, frequently, quickly and securely verify that the cloud archive is not cheating the owner. Cheating, in this context, means that the storage archive might delete some of the data or may modify some of the data.
SYSTEM ANALYSIS :
Storing of user data in the cloud despite its advantages has many interesting security concerns which need to be extensively investigated for making it a reliable solution to the problem of avoiding local storage of data. Many problems like data authentication and integrity (i.e., how to efficiently and securely ensure that the cloud storage server returns correct and complete results in response to its clients’ queries, outsourcing encrypted data and associated difficult problems dealing with querying over encrypted
domain were discussed in research literature.
As data generation is far outpacing data storage it proves costly for small firms to frequently update their hardware whenever additional data is created. Also maintaining the storages can be a difficult task. It transmitting the file across the network to the client can consume heavy bandwidths. The problem is further complicated by the fact that the owner of the data may be a small device, like a PDA (personal digital assist) or a mobile phone, which have limited CPU power, battery power and communication bandwidth.
LIMITATIONS OF EXISTING SYSTEM:
▪ The main drawback of this scheme is the high resource costs it requires for the implementation. ▪ Also computing hash value for even a moderately large data files can be computationally burdensome for some clients (PDAs, mobile phones, etc). ▪ Data encryption is large so the disadvantage is small users with limited computational power (PDAs, mobile phones etc.). PROPOSED SYSTEM:
One of the important concerns that need to be addressed is to assure the customer of the integrity i.e. correctness of his data in the cloud. As the data is physically not accessible to the user the cloud should provide a way for the user to check if the integrity of his data is maintained or is compromised. In this paper we provide a scheme which gives a proof of data integrity in the cloud which the customer can employ to check the correctness of his data in the cloud.
This proof can be agreed upon by both the cloud and the customer and can be incorporated in the Service level agreement (SLA). It is important to note that our proof of data integrity protocol just checks the integrity of data i.e. if the data has been illegally modified or deleted.
ADVANTAGES OF PROPOSED SYSTEM:
▪ Apart from reduction in storage costs data outsourcing to the cloud also helps in reducing the maintenance.
▪ Avoiding local storage of data.
▪ By reducing the costs of storage, maintenance and personnel.
▪ It reduces the chance of losing data by hardware failures.
▪ Not cheating the owner.
PROCESS FLOW DIAGRAMS FOR EXISTING AND PROPOSED SYSTEM:
The feasibility of the project is analyzed in this phase and business proposal is put forth with a very general plan for the project and some cost estimates. During system analysis the feasibility study of the proposed system is to be carried out. This is to ensure that the proposed system is not a burden to the company. For feasibility analysis, some understanding of the major requirements for the system is essential.
Three key considerations involved in the feasibility analysis are
□ ECONOMICAL FEASIBILITY
□ TECHNICAL FEASIBILITY
□ SOCIAL FEASIBILITY
This study is carried out to check the economic impact that the system will have on the organization. The amount of fund that the company can pour into the research and development of the system is limited. The expenditures must be justified. Thus the developed system as well within the budget and this was achieved because most of the technologies used are freely available. Only the customized products had to be purchased.
This study is carried out to check the technical feasibility, that is, the technical requirements of the system. Any system developed must not have a high demand on the available technical resources. This will lead to high demands on the available technical resources. This will lead to high demands being placed on the client. The developed system must have a modest requirement, as only minimal or null changes are required for implementing this system.
The aspect of study is to check the level of acceptance of the system by the user. This includes the process of training the user to use the system efficiently. The user must not feel threatened by the system, instead must accept it as a necessity. The level of acceptance by the users solely depends on the methods that are employed to educate the user about the system and to make him familiar with it. His level of confidence must be raised so that he is also able to make some constructive criticism, which is welcomed, as he is the final user of the system.
HARDWARE AND SOFTWARE REQUIREMENTS:
• System: Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive: 1.44 Mb.
• Monitor: 15 VGA Colour.
• Mouse: Logitech.
• Ram: 512 Mb.
• Operating system : Windows XP.
• Coding Language : ASP.Net with C#
• Data Base : SQL Server 2005
Functional requirements specify which output file should be produced from the given file they describe the relationship between the input and output of the system, for each functional requirement a detailed description of all data inputs and their source and the range of valid inputs must be specified.
NON FUNCTIONAL REQUIREMENTS:
Describe user-visible aspects of the system that are not directly related with the functional behavior of the system. Non-Functional requirements include quantitative constraints, such as response time (i.e. how fast the system reacts to user commands.) or accuracy ((.e. how precise are the systems numerical answers.)
The client that restricts the implementation of the system imposes these requirements. Typical pseudo requirements are the implementation language and the platform on which the system is to be implemented. These have usually no direct effect on the users view of the system. LITERATURE SURVEY:
Literature survey is the most important step in software development process. Before developing the tool it is necessary to determine the time factor, economy n company strength. Once these things r satisfied, ten next steps is to determine which operating system and language can be used for developing the tool. Once the programmers start building the tool the programmers need lot of external support. This support can be obtained from senior programmers, from book or from websites. Before building the system the above consideration r taken into account for developing the proposed system.
We have to analysis the Cloud Computing Outline Survey:
• Cloud computing providing unlimited infrastructure to store and execute customer data and program. As customers you do not need to own the infrastructure, they are merely accessing or renting; they can forego capital expenditure and consume resources as a service, paying instead for what they use.
Benefits of Cloud Computing:
• Minimized Capital expenditure
• Location and Device independence
• Utilization and efficiency improvement
• Very high Scalability
• High Computing power
Security a major Concern:
← Security concerns arising because both customer data and program are residing in Provider Premises. ← Security is always a major concern in Open System Architectures
Data centre Security?
• Professional Security staff utilizing video surveillance, state of the art intrusion detection systems, and other electronic means. • When an employee no longer has a business need to access datacenter his privileges to access datacenter should be immediately revoked. • All physical and electronic access to data centers by employees should be logged and audited routinely. • Audit tools so that users can easily determine how their data is stored, protected, used, and verify policy enforcement.
← When user uses the cloud, user probably won’t know exactly where your data is hosted, what country it will be stored in? ← Data should be stored and processed only in specific jurisdictions as define by user. ← Provider should also make a contractual commitment to obey local privacy requirements on behalf of their customers, ← Data-centered policies that are generated when a user provides personal or sensitive information, that travels with that information throughout its lifetime to ensure that the information is used only in accordance with the policy
Backups of Data :
← Data store in database of provider should be redundantly store in multiple physical location. ← Data that is generated during running of program on instances is all customer data and therefore provider should not perform backups. ← Control of Administrator on Databases.
← Sanitization is the process of removing sensitive information from a storage device. ← What happens to data stored in a cloud computing environment once it has passed its user’s “use by date” ← What data sanitization practices does the cloud computing service provider propose to implement for redundant and retiring data storage devices as and when these devices are retired or taken out of service.
• Denial of Service: where servers and networks are brought down by a huge amount of network traffic and users are denied the access to a certain Internet based service. • Like DNS Hacking, Routing Table “Poisoning”, XDoS attacks • QoS Violation : through congestion, delaying or dropping packets, or through resource hacking. • Man in the Middle Attack: To overcome it always use SSL • IP Spoofing: Spoofing is the creation of TCP/IP packets using somebody else’s IP address. • Solution: Infrastructure will not permit an instance to send traffic with a source IP or MAC address other than its own.
How secure is encryption Scheme:
← Is it possible for all of my data to be fully encrypted? ← What algorithms are used?
← Who holds, maintains and issues the keys? Problem:
← Encryption accidents can make data totally unusable. ← Encryption can complicate availability Solution
← The cloud provider should provide evidence that encryption schemes were designed and tested by experienced specialists.
← Security related to the information exchanged between different hosts or between hosts and users. ← This issues pertaining to secure communication, authentication, and issues concerning single sign on and delegation. ← Secure communication issues include those security concerns that arise during the communication between two entities. ← These include confidentiality and integrity issues. Confidentiality indicates that all data sent by users should be accessible to only “legitimate” receivers, and integrity indicates that all data received should only be sent/modified by “legitimate” senders. ← Solution: public key encryption, X.509 certificates, and the Secure Sockets Layer (SSL) enables secure authentication and communication over computer networks.
Data outsourcing to cloud storage servers is raising trend among many firms and users owing to its economic advantages. This essentially means that the owner (client) of the data moves its data to a third party cloud storage server which is supposed to – presumably for a fee – faithfully store the
data with it and provide it back to the owner whenever required.
This problem tries to obtain and verify a proof that the data that is stored by a user at remote data storage in the cloud (called cloud storage archives or simply archives) is not modified by the archive and thereby the integrity of the data is assured. Cloud archive is not cheating the owner, if cheating, in this context, means that the storage archive might delete some of the data or may modify some of the data. While developing proofs for data possession at untrusted cloud storage servers we are often limited by the resources at the cloud server as well as at the client.
In this scheme, unlike in the key-hash approach scheme, only a single key can be used irrespective of the size of the file or the number of files whose retrievability it wants to verify. Also the archive needs to access only a small portion of the file F unlike in the key-has scheme which required the archive to process the entire file F for each protocol verification. If the prover has modified or deleted a substantial portion of F, then with high probability it will also have suppressed a number of sentinels.
The verifier before storing the file at the archive, preprocesses the file and appends some Meta data to the file and stores at the archive. At the time of verification the verifier uses this Meta data to verify the integrity of the data. It is important to note that our proof of data integrity protocol just checks the integrity of data i.e. if the data has been illegally modified or deleted. It does not prevent the archive from modifying the data.
Data Flow Diagram / Use Case Diagram / Flow Diagram:
❖ The DFD is also called as bubble chart. It is a simple graphical formalism that can be used to represent a system in terms of the input data to the system, various processing carried out on these data, and the output data is generated by the system
❖ The data flow diagram (DFD) is one of the most important modeling tools. It is used to model the system components. These components are the system process, the data used by the process, an external entity that interacts with the system and the information flows in the system.
❖ DFD shows how the information moves through the system and how it is modified by a series of transformations. It is a graphical technique that depicts information flow and the transformations that are applied as data moves from input to output.
❖ DFD is also known as bubble chart. A DFD may be used to represent a system at any level of abstraction. DFD may be partitioned into levels that represent increasing information flow and functional detail.
SOURCE OR DESTINATION OF DATA:
External sources or destinations, which may be people or organizations or other entities.
Here the data referenced by a process is stored and retrieved.
People, procedures or devices that produce data. The physical component is
Data moves in a specific direction from an origin to a destination. The data flow is a “packet” of data.
There are several common modeling rules when creating DFDs:
1. All processes must have at least one data flow in and one data flow out. 2. All processes should modify the incoming data, producing new forms of outgoing data. 3. Each data store must be involved with at least one data flow. 4. Each external entity must be involved with at least one data flow. 5. A data flow must be attached to at least one process.
PROCESS SPECIFICATION(Techniques And Algorithm Used):
Let the verifier V wishes to the store the file F with the archive. Let this file F consist of n file blocks. We initially preprocess the file and create metadata to be appended to the file. Let each of the n data blocks have m bits in them. A typical data file F which the client wishes to store in the cloud.
Each of the Meta data from the data blocks mi is encrypted by using a suitable algorithm to give a new modified Meta data Mi. Without loss of generality we show this process by using a simple XOR operation. The encryption method can be improvised to provide still stronger protection for verifier’s data.
All the Meta data bit blocks that are generated using the above procedure are to be concatenated together. This concatenated Meta data should be appended to the file F before storing it at the cloud server. The file F along with the appended Meta data e F is archived with the cloud.
Features OF. Net
Microsoft .NET is a set of Microsoft software technologies for rapidly building and integrating XML Web services, Microsoft Windows-based applications, and Web solutions. The .NET Framework is a language-neutral platform for writing programs that can easily and securely interoperate.
There’s no language barrier with .NET: there are numerous languages available to the developer including Managed C++, C#, Visual Basic and Java Script. The .NET framework provides the foundation for components to interact seamlessly, whether locally or remotely on different platforms. It standardizes common data types and communications protocols so that components created in different languages can easily interoperate.
“.NET” is also the collective name given to various software components built upon the .NET platform. These will be both products (Visual Studio.NET and Windows.NET Server, for instance) and services (like Passport, .NET My Services, and so on).
THE .NET FRAMEWORK
The .NET Framework has two main parts:
1. The Common Language Runtime (CLR).
2. A hierarchical set of class libraries.
The CLR is described as the “execution engine” of .NET. It provides the environment within which programs run. The most important features are
□ Conversion from a low-level assembler-style language, called Intermediate Language (IL), into code native to the platform being executed on. □ Memory management, notably including garbage collection. □ Checking and enforcing security restrictions on the running code.
□ Loading and executing programs, with version control and other such features. □ The following features of the .NET framework are also worth description:
The code that targets .NET, and which contains certain extra Information – “metadata” – to describe itself. Whilst both managed and unmanaged code can run in the runtime, only managed code contains the information that allows the CLR to guarantee, for instance, safe execution and interoperability.
With Managed Code comes Managed Data. CLR provides memory allocation and Deal location facilities, and garbage collection. Some .NET languages use Managed Data by default, such as C#, Visual Basic.NET and JScript.NET, whereas others, namely C++, do not. Targeting CLR can, depending on the language you’re using, impose certain constraints on the features available. As with managed and unmanaged code, one can have both managed and unmanaged data in .NET applications – data that doesn’t get garbage collected but instead is looked after by unmanaged code.
Common Type System
The CLR uses something called the Common Type System (CTS) to strictly enforce type-safety. This ensures that all classes are compatible with each other, by describing types in a common way. CTS define how types work within the runtime, which enables types in one language to interoperate with types in another language, including cross-language exception handling. As well as ensuring that types are only used in appropriate ways, the runtime also ensures that code doesn’t attempt to access memory that hasn’t been allocated to it. Common Language Specification
The CLR provides built-in support for language interoperability. To ensure that you can develop managed code that can be fully used by developers using any programming language, a set of language features and rules for using them called the Common Language Specification (CLS) has been defined. Components that follow these rules and expose only CLS features are
THE CLASS LIBRARY:
.NET provides a single-rooted hierarchy of classes, containing over 7000 types. The root of the namespace is called System; this contains basic types like Byte, Double, Boolean, and String, as well as Object. All objects derive from System. Object. As well as objects, there are value types. Value types can be allocated on the stack, which can provide useful flexibility. There are also efficient means of converting value types to object types if and when necessary.
The set of classes is pretty comprehensive, providing collections, file, screen, and network I/O, threading, and so on, as well as XML and database connectivity. The class library is subdivided into a number of sets (or namespaces), each providing distinct areas of functionality, with dependencies between the namespaces kept to a minimum.
LANGUAGES SUPPORTED BY .NET
The multi-language capability of the .NET Framework and Visual Studio .NET enables developers to use their existing programming skills to build all types of applications and XML Web services. The .NET framework supports new versions of Microsoft’s old favorites Visual Basic and C++ (as VB.NET and Managed C++), but there are also a number of new additions to the family.
Visual Basic .NET has been updated to include many new and improved language features that make it a powerful object-oriented programming language. These features include inheritance, interfaces, and overloading, among others. Visual Basic also now supports structured exception handling, custom attributes and also supports multi-threading. Visual Basic.
NET is also CLS compliant, which means that any CLS-compliant language can use the classes, objects, and components you create in Visual Basic .NET. Managed Extensions for C++ and attributed programming are just some of the enhancements made to the C++ language. Managed Extensions simplify the task of migrating existing C++ applications to the new .NET Framework. C# is Microsoft’s new language. It’s a C-style language that is essentially “C++ for Rapid Application Development”. Unlike other languages, its specification is just the grammar of the language. It has no standard library of its own, and instead has been designed with the intention of using the .NET libraries as its own.
Microsoft Visual J# .NET provides the easiest transition for Java-language developers into the world of XML Web Services and dramatically improves the interoperability of Java-language programs with existing software written in a variety of other programming languages.
Active State has created Visual Perl and Visual Python, which enable .NET-aware applications to be built in either Perl or Python. Both products can be integrated into the Visual Studio .NET environment. Visual Perl includes support for Active State’s Perl Dev Kit.
Other languages for which .NET compilers are available include
Fig1 .Net Framework
| ASP.NET | Windows Forms | |XML WEB SERVICES | | | Base Class Libraries | | Common Language Runtime | | Operating System |
C#.NET is also compliant with CLS (Common Language Specification) and supports structured exception handling. CLS is set of rules and constructs that are supported by the CLR (Common Language Runtime). CLR is the runtime environment provided by the .NET Framework; it manages the execution of the code and also makes the development process easier by providing services.
C#.NET is a CLS-compliant language. Any objects, classes, or components that created in C#.NET can be used in any other CLS-compliant language. In addition, we can use objects, classes, and components created in other CLS-compliant languages in C#.NET .The use of CLS ensures complete interoperability among applications, regardless of the languages used to create the application.
CONSTRUCTORS AND DESTRUCTORS:
Constructors are used to initialize objects, whereas destructors are used to destroy them. In other words, destructors are used to release the resources allocated to the object. In C#.NET the sub finalize procedure is available. The sub finalize procedure is used to complete the tasks that must be performed when an object is destroyed. The sub finalize procedure is called automatically when an object is destroyed. In addition, the sub finalize procedure can be called only from the class it belongs to or from derived classes.
Garbage Collection is another new feature in C#.NET. The .NET Framework monitors allocated resources, such as objects and variables. In addition, the .NET Framework automatically releases memory for reuse by destroying objects that are no longer in use.
In C#.NET, the garbage collector checks for the objects that are not currently in use by applications. When the garbage collector comes across an object that is marked for garbage collection, it releases the memory occupied by the object.
Overloading is another feature in C#. Overloading enables us to define multiple procedures with the same name, where each procedure has a different set of arguments. Besides using overloading for procedures, we can use it for constructors and properties in a class.
C#.NET also supports multithreading. An application that supports multithreading can handle multiple tasks simultaneously, we can use multithreading to decrease the time taken by an application to respond to user interaction.
STRUCTURED EXCEPTION HANDLING
C#.NET supports structured handling, which enables us to detect and remove errors at runtime. In C#.NET, we need to use Try…Catch…Finally statements to create exception handlers. Using Try…Catch…Finally statements, we can create robust and effective exception handlers to improve the performance of our application.
THE .NET FRAMEWORK
The .NET Framework is a new computing platform that simplifies application development in the highly distributed environment of the Internet.
OBJECTIVES OF. NET FRAMEWORK
1. To provide a consistent object-oriented programming environment whether object codes is stored and executed locally on Internet-distributed, or executed remotely.
2. To provide a code-execution environment to minimizes software deployment and guarantees safe execution of code.
3. Eliminates the performance problems.
There are different types of application, such as Windows-based applications and Web-based applications.
Features of SQL-SERVER
The OLAP Services feature available in SQL Server version 7.0 is now called SQL Server 2000 Analysis Services. The term OLAP Services has been replaced with the term Analysis Services. Analysis Services also includes a new data mining component. The Repository component available in SQL Server version 7.0 is now called Microsoft SQL Server 2000 Meta Data Services. References to the component now use the term Meta Data Services. The term repository is used only in reference to the repository engine within Meta Data Services SQL-SERVER database consist of six type of objects,
A database is a collection of data about a specific topic.
VIEWS OF TABLE:
We can work with a table in two types,
1. Design View
2. Datasheet View
To build or modify the structure of a table we work in the table design view. We can specify what kind of data will be hold.
To add, edit or analyses the data itself we work in tables datasheet view mode.
A query is a question that has to be asked the data. Access gathers data that answers the question from one or more table. The data that make up the answer is either dynaset (if you edit it) or a snapshot (it cannot be edited).Each time we run query, we get latest information in the dynaset. Access either displays the dynaset or snapshot for us to view or perform an action on it, such as deleting or updating.
FULL PROJECT CODING, DATABASE WITH VIDEO TUTORIAL
HOW TO INSTALL DOCUMENT:
Execution help file
1. MS visual studio 2008
2. SQL server 2005
3. JDK 1.6
4. Nokia 5100 sdk
HOW TO ATTACH DATABASE:
Copy the database to following path.
Path: C:\Program Files\Microsoft SQL Server\MSSQL.1\MSSQL\Data Or
Path: C:\Program Files\Microsoft SQL Server\MSSQL\Data STEP 2:
Then open sql server.
To attach the database, right click on database and click attach. [pic]
Then attach databases window will open.
Click add button in that window and choose required database. Then click ok. [pic]
Database will added in database details.
Finally click ok.
Then open MS visual studio 2008 for our project.
In server explorer, right click on database connection and click add connection. [pic]
Add connection window will open. In that, choose data source as MS sql server,give sever name and choose database name and then click ok. [pic]
Then our database will attached in server explorer.
Then change the appsettings in web.config file.
For that, right click on our database in server explorer and click properties. [pic]
Properties window will open.
Copy that connection string to value in appsettings tag in web.config file.
We used ajax in our project. So add ajax tools to your system using below steps. 1. Copy AjaxControlToolkitBinary folder to any directory (i.e. any path) in your system.
2. Open any design page in our project then click toolbox.
3. Then keep the mouse pointer in general tab and right click on it.
4. Choose add tab.
New tab will created on toolbox.
5. Give name to that tab like “Ajax toolkits”.
6. Right click on that new tab and click choose items.
Then choose toolbox items window will open.
7. Click browse button and select AjaxControlToolkit.dll file from that AjaxControlToolkitBinary folder (from where you save that folder).
8. Then click ok.
Now all ajax tools are added in toolbox.
Finally, you should follow the given video file.
TYPE OF TESTING:
BLOCK & WHITE BOX TESTING:
Black Box Testing
Black Box Testing is testing the software without any knowledge of the inner workings, structure or language of the module being tested. Black
box tests, as most other kinds of tests, must be written from a definitive source document, such as specification or requirements document, such as specification or requirements document. It is a testing in which the software under test is treated, as a black box .you cannot “see” into it. The test provides inputs and responds to outputs without considering how the software works.
White Box Testing
White Box Testing is a testing in which in which the software tester has knowledge of the inner workings, structure and language of the software, or at least its purpose. It is purpose. It is used to test areas that cannot be reached from a black box level.
Unit testing is usually conducted as part of a combined code and unit test phase of the software lifecycle, although it is not uncommon for coding and unit testing to be conducted as two distinct phases.
Test strategy and approach
Field testing will be performed manually and functional tests will be written in detail.
• All field entries must work properly.
• Pages must be activated from the identified link.
• The entry screen, messages and responses must not be delayed.
Features to be tested
• Verify that the entries are of the correct format
• No duplicate entries should be allowed
All links should take the user to the correct page.
The purpose of testing is to discover errors. Testing is the process of trying to discover every conceivable fault or weakness in a work product. It provides a way to check the functionality of components, sub assemblies, assemblies and/or a finished product It is the process of exercising software with the intent of ensuring that the Software system meets its requirements and user expectations and does not fail in an unacceptable manner. There are various types of test. Each test type addresses a specific testing requirement.
Software integration testing is the incremental integration testing of two or more integrated software components on a single platform to produce failures caused by interface defects.
The task of the integration test is to check that components or software applications, e.g. components in a software system or – one step up – software applications at the company level – interact without error.
Test Results: All the test cases mentioned above passed successfully. No defects encountered. CHAPTER 07
In this paper we have worked to facilitate the client in getting a proof of integrity of the data which he wishes to store in the cloud storage servers with bare minimum costs and efforts. Our scheme was developed to reduce the computational and storage overhead of the client as well as to minimize the computational overhead of the cloud storage server. We also minimized the size of the proof of data integrity so as to reduce the network bandwidth consumption.
Many of the schemes proposed earlier require the archive to perform tasks that need a lot of computational power to generate the proof of data integrity. But in our scheme the archive just need to fetch and send few bits of data to the client.
LIMITATIONS & FUTURE ENHANCEMENTS :
▪ Apart from reduction in storage costs data outsourcing to the cloud also helps in reducing the maintenance.
▪ Avoiding local storage of data.
▪ By reducing the costs of storage, maintenance and personnel.
▪ It reduces the chance of losing data by hardware failures.
▪ Not cheating the owner.
REFERENCE & BIBLIOGRAPHY:
Good Teachers are worth more than thousand books, we have them in Our Department
References Made From:
1. Beginning ASP.NET 4: in C# and VB by Imar Spaanjaars.
2. ASP.NET 4 Unleashed by Stephen Walther.
3. Programming ASP.NET 3.5 by Jesse Liberty, Dan Maharry, Dan Hurwitz. 4. Beginning ASP.NET 3.5 in C# 2008: From Novice to Professional, Second Edition by Matthew MacDonald. 5. Amazon Web Services (AWS), Online at http://aws. amazon.com.
6. Google App Engine, Online at http://code.google.com/appengine/. 7. Microsoft Azure, http://www.microsoft.com/azure/.
8. A. Agrawal et al. Ws-bpel extension for people (bpel4people), version 1.0., 2007.
9. M. Amend et al. Web services human task (ws-humantask), version 1.0., 2007.
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POR (Proof of retrievability
CLS (Common Language Specification
PDA (Personal Digital Assist
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