A Novel Approach for Intrusion Detection System Using Artificial Immune System - Proceedings of All India Seminar on Biomedical Engineering 2012 (AISOBE-2012) - page 213

A Novel Approach for Intrusion Detection
System Using Artificial Immune System
Akanksha Parashar, Praneet Saurabh and Bhupendra Verma
Abstract Intrusion detection, a topic that has evolved heavily due to the rising
concern for information technology security, has endured numerous architecture
abstractions. All of these architecture abstractions have strengths and weaknesses
with regard to various factors like efficiency, security, integrity, durability, and
cost-effectiveness, to name a few. In this chapter, we explore the appropriateness
of the artificial immune system negative selection for intrusion detection and
anomaly detection problems. Negative selection is appropriate for anomaly
detection problems, especially when compared to statistical K-mean clustering
methods, and can detect unseen or unknown attack.
Keywords Intrusion detection system Artificial immune system Clustering
Introduction
Computer security is used frequently, but the content of a computer is vulnerable
to few risks unless the computer is connected to other computers on a network. As
the use of computer networks, especially the Internet, has become pervasive, the
concept of computer security has expanded to denote issues pertaining to the
A. Parashar ( & ) P. Saurabh B. Verma
Dept of CSE, TIT Bhopal, Bhopal, India
e-mail: [e-mail]
P. Saurabh
e-mail: [e-mail]
B. Verma
e-mail: [e-mail]