Summary
Intrusion detection systems are increasingly a key part of systems defense. Various approaches to intrusion detection are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services. This paper proposes a dynamic model of intelligent intrusion detection system, based on a specific AI approach for intrusion detection. The techniques that are being investigated include fuzzy logic with network profiling, which uses simple data mining techniques to process the network data. The proposed hybrid system combines anomaly and misuse detection. Simple fuzzy rules allow us to construct if-then rules that reflect common ways of describing security attacks. We use DARPA dataset for training and benchmarking.
See the full content of this document
Extract
Improved Hybrid Intelligent Intrusion Detection System Using Ai Technique
1. Introduction
Information has become an organization's most precious asset. Organizations have become increasingly dependent on information since more information is being stored and processed in network-based systems. Network based defense systems normally combine a network-based intrusion detection system and packet filtering firewalls. The main drawback of these systems is the inability to identify and characterize new attacks and to respond to them intelligently. A significant challenge in providing an effective and efficient protective mechanism to a network is the ability to detect novel attacks or any intrusion work and to implement countermeasures. Intrusion detection is a critical component in securing information systems. Intrusion detection is implemented by an intrusion detection system and today, we can find many commercial intrusion detection systems available in the market. But they are restricted in monitoring functionality and they need frequent updates and patches. The wide spread use of e-commerce has increased the necessity of protecting the system to a very high extend. Intrusion prevention system can detect, prevent and react to the attacks. Intrusion dete...See the full content of this document
Sponsored links
