Dynamic Distributed Intrusion Detection System Based on Mobile Agents with Fault Tolerance

Abstract

Problem statement: In earlier days, each and every individual system has particular IDS to the particular system and due to this particular technique there are many drawbacks and much more drawbacks in the system side networks. “All processes used in discovery of unauthorized uses of network or computer devices” Detection of unusual and abnormal activity/events in real-time. Detects break-ins or attacks through various data sources from logs/audit/surveillance and network traffic. Approach: The Intrusion Detection System (IDS) has an objective to identify individuals that try to use a system in a way not authorized or those that have authorization to use but they abuse of their privileges. This study proposing the Dynamic Distributed Intrusion Detection System (DDIDS) to improve the system Processing and system Networking. Results: An implementation result of the network plays a very important role in order to connect each and every system through a network. For that reason it is said with the experiment that the enhanced intrusion detection system based on Agent gain highly developed detecting performance with fault tolerance. Conclusion: The main aim of this study is to design and develop the dynamic distributed intrusion detection system that would be accurate, low in false alarms, not easily cheated by small variations in pattern, adaptive and be of real time and also increase the system efficiency and increase the system network efficiency.