Volume 11 - Volume 11
A Flexible Vulnerability Reduction System Using Machine Learning
Abstract
he human system have an ability to adapt dynamically and protect against biological viruses is
amazing. Computer security faces an ever-increasing threat and a system which can prevent any
viruses coming in, is an open research problem. We propose a new model, called (RI Secure-Web),
which can be resilient and immune to web application vulnerability for injection and URL
manipulation for injection methods using an agent based machine learning system The ability of
human immune system to survive and maintain body from different damages and its self-curing
capability inspires the development of a resilient and adaptive cyber security system. Such system
functions proactive and defends itself against viruses as human immune system does.
In this paper, an architectural view of a system for reducing application level vulnerabilities to
protect cyber attacks, particularly injection method is proposed.
Paper Details
PaperID: 2407
Author's Name: Dr. Shaji. N. Raj
Volume: Volume 11
Issues: Volume 11
Keywords: RI Secure-Web, Intrusion Detection Systems (IDS), Vulnerability Analysis System.
Year: 2021
Month: July
Pages: 3784-3791