Intrusion Detection System Using Self Organizing Map Algorithms

Abstract

Abstract:With the rapid expansion of computer usage and computer network the security of the computer system has became very important. Every day new kind of attacks are being faced by industries. Many methods have been proposed for the development of intrusion detection system using artificial intelligence technique. In this paper we will have a look at an algorithm based on neural networks that are suitable for Intrusion Detection Systems (IDS). The name of this algorithm is "Self Organizing Maps" (SOM). So far, many different methods have been used to build a detector that Wide variety of different ways in the covers. Among the methods used to detect attacks in intrusion detection is done, In this paper we investigate the Self-Organizing Map method.

Development of an SNMP v3 agent for user modelling in LAN environments for thin films by using Dynamic systems modelling

“…This is a very popular solution used by user modelling systems given the exibility and ease of use that this architecture offers, allowing the exchange of information in a structured and effective way. For example, in [3] and [7] the information contained in MIB 2 is analyzed for the detection of DoS (Denial of Service) attacks. Other widely adopted methods or techniques for user data acquisition are the use of operating system log les or tra c ltering systems [8].…”