Computer Immunity Using an Intrusion Detection System (IDS)

Computers are involved in every aspect of modern society and have become an essential part of our lives, but their vulnerability is of increasing concern to us. Security flaws are inherent in the operation of computers Most flaws are caused by errors in the process of software engineering or unforeseen mishaps and it is difficult to solve these problems by conventional methods. A radical way of constantly monitoring the system for newly disclosed vulnerabilities is required. In order to devise such a system, this work draws an analogy between computer immune systems and the human immune system. The computer immune system is the equivalent of the human immune system. The primary objective of this paper is to use an intrusion detection system in the design and implementation of a computer immune system that would be built on the framework of the human immune system. This objective is successfully realized and in addition a prevention mechanism using the windows IP Firewall feature has been incorporated. Hence the system is able to perform intrusion detection and prevention. Data was collected about events occurring in a computer network that violate predefined security policy, such as attempts to affect the confidentiality, integrity or its availability using Snort rules for known attacks and adaptive detection for the unknown attacks. The system was tested using real-time data and Intrusion Detection evaluation (IDEVAL) Department of Defense Advanced Research Projects Agency (DARPA) data set. The results were quite encouraging as few false positive were recorded.

The Application and Realization of Active Database in Computer Immune System

In this paper we introduce a kind of management mechanism for computer immune system GECISM (GEneral Computer Immune System Model)[. With it when emergency happens it can be timely and actively response according to the current state of database. Thus it improved the executive efficiency of the computer immune system. The method is that we design the local rules in the form of active database. It neednt user intervention for the processes to be handled by the processor. The database of the client machine can automatically carry out the judgment of "self" and "non-self". So it can improve the system's processing capability.

Research on Grain Purchasing Location Based on Immunity Algorithm

It is very important to the farmers and government that how to choose correctly grain purchasing location, resulting from villages and towns mergence. First, this thesis considers grain purchasing location which will result in the effects of mutual costs. Then it offers Mathematical Models on location problem based on the way of Computer Immune Algorithm and uses Matlab to write the corresponding program. Finally, through the examples of simulation, it is proved that this Algorithm has many advantages, such as fast convergence, optimization success rate and so on.