A Survey of Soft Computing Techniques in Cyber Security
Dipankar Dasgupta

Abstract:

Soft computing techniques have proven to be flexible in decision making in dynamic environment. They typically include Fuzzy Logic, Genetic Algorithms, Agent Systems, Neural Networks, Cellular Automata and other similar computational models. The use of these techniques allowed building excellent decision support modules and providing cross-linking solutions to different applications.

The increased network connectivity and easy access to information through Internet and World Wide Web, the hacker activity also increased. As intruders finding new ways to break in, security systems should be more flexible and intelligent enough to withstand both internal misuse and external intrusions. Influxes of new approaches are needed to enhance security measures. Soft computing techniques have been increasingly applied in the area of information security and appear to be able to address challenges in cyber security. This paper will provide a survey of soft computing techniques in different security related applications.

BACK