Proactive Web Server Protocol for Complaint Assessment
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2013, Vol 6, Issue 4
Abstract
Vulnerability Discovery with attack Injection security threats are increasing for the server software, when software is developed, the software tested for the functionality. Due to un-awareness of software vulnerabilities most of the software before pre-Release the software should be thoroughly tested for not only functionality reliability, but should be tested for the security flaws (or) ulnerabilities. The approaches such as fuzzers, Fault injection, vulnerabilities scanners,static vulnerabilities analyzers, Runtime prevention mechanisms and software Rejuvenation are identifying the un-patched software which is open for security threats address to solve the problem “security testing”. These techniques are useful for generating attacks but cannot be extendable for the new land of attacks. The system called proactive vulnerability attack injection tool is suitable for adding new attacks injection vectors, methods to define new protocol states (or) Specification using the interface of tool includes Network server protocol specification using GUI, Attacks generator, Attack injector, monitoring module at the victim injector, monitoring module at the victim machine and the attacks injection report generation. This tool can address most of the vulnerabilities (or) security flows
Authors and Affiliations
G. Vijay Kumar , Ravikumar S. Raykundaliya , Dr. P. Naga Prasad
Keywords
Related Articles
- EP ID EP162317
- DOI -
- Views 119
- Downloads 0
Web Mining using Artificial Ant Colonies : A Survey
Web mining has been very crucial to any organization as it provides useful insights to business patterns. It helps the company to understand its customers better. As the web is growing in pace, so is its importance and h...
A Study on Big Data Integration with Data Warehouse
The amount of data in world is exploding. Data is being collected and stored at unprecedented rates. The challenge is not only to store and manage the vast volume of data, but also to analyze and extract meaningful value...
Effect of Principle Component Analysis and Support Vector Machine in Software Fault Prediction
Machine Learning (ML) approaches have a great impact in fault prediction. Demand for producing quality assured software in an organization has been rapidly increased during the last few years. This leads to increase in d...
BPR: Evaluation of Existing Methodologies and Limitations
Many of known organizations had their business processes changed and reengineered in order to achieve their objectives, meet their customer’s expectations and attain competitive advantage. Thus, they were willing to adop...
MCA Learning Algorithm for Incident Signals Estimation:A Review
Recently there has been many works on adaptive subspace filtering in the signal processing literature. Most of them are concerned with tracking the signal subspace spanned by the eigenvectors corresponding to the eigenva...