Clustering Software Components for Program Restructuring and Component Reuse Using Hybrid XNOR Similarity Function

AbstractComponent based software development has gained a lot of practical importance in the field of software engineering from academic researchers and also from industry perspective. Finding components for efficient software reuse is one of the important problems aimed by researchers. Clustering reduces the search space of components by grouping similar entities together thus ensuring reduced time complexity as it reduces the search time for component retrieval. In this research, we instigate a generalized approach for clustering a given set of documents or software components by defining a similarity function called hybrid XNOR function to find degree of similarity between two document sets or software components. A similarity matrix is obtained for a given set of documents or components by applying hybrid XNOR function. We define and design the algorithm for component or document clustering which has the input as similarity matrix and output being set of clusters. The output is a set of highly cohesive pattern groups or components

Defensive Approaches on SQL Injection and Cross-Site Scripting Attacks

SQL Injection attacks are the most common attacks on the web applications Statistical analysis says that so many web sites which interact with the database are prone to SQL Injection XSS attacks Different kinds of vulnerability detection system and attack detection systems exist there is no efficient system for detecting these kinds of attacks SQL Injection attacks are possible due to the design drawbacks of the websites which interact with back-end databases Successful attacks may damage more The state-of-art web application input validation echniques fails to identify the proper SQL XSS Vulnerabilities accurately because of the systems correctness of sanity checking capability proper placement of valuators on the applications The systems fail while processing HTTP Parameter pollution attacks An extensive survey on the SQL Injection attacks is conducted to present various detection and prevension mechanism

Key Authentication Scheme-based on Discrete Logarithms and Chinese Remainder Theorem

Public key cryptosystems are secure only when the authenticity of the public key is assured. Shao proposeda new scheme to overcome the problems of the existing schemes, which suffers from two major drawbacks. Thefirst drawback is the availability of users’ passwords in plaintext format in key server which are prone to attacksby ill-minded users. The second one is depending on the key server blindly for certificate generation, withoutfurther verification by the user. To overcome these severe drawbacks, we proposed an improved key authenticationscheme based on Chinese remainder theorem and discrete logarithms. Our scheme allows the user to generate his/her certificate without the help of any trusted third party. This scheme is intended for online services, military anddefense applications to exchange keys securely.