In this paper we propose a distributed agent framework for an intrusion detection system aimed at ad hoc wireless networks. Wireless networks are particularly vulnerable to intrusion, as they operate in an open medium, and use cooperative strategies for network communications. By efficiently merging audit data from multiple security agents, we analyze the entire ad hoc wireless network for intr...

The network traffic data provided for the design of intrusion detection always are large with ineffective information and enclose limited and ambiguous information about users’ activities. We study the problems and propose a two phases approach in our intrusion detection design. In the first phase, we develop a correlation-based feature selection algorithm to remove the worthless information fr...

To improve network security different steps has been taken as size and importance of the network has increases day by day. Then chances of a network attacks increases Network is mainly attacked by some intrusions that are identified by network intrusion detection system. These intrusions are mainly present in data packets and each packet has to scan for its detection. This paper works to develo...

Most of the intrusion detection systems are unable to detect behavior-based intrusions such as Stuxnet, because of their absolute view of the intrusion. There are some legitimate behaviors which their subsequences cause intrusions. In this paper, a multi-agent model inspired by the human immune system has been proposed whose autonomous agents have a conditional view towards intrusion concept. T...

Intrusion behavior has the characteristics of fast upgrade, strong concealment In this paper, an integrated network intrusion detection algorithm by combining. judge the safety of a system or network. (6). Intrusion Detection Systems (IDS) are primarily centered on characteristic probable incidents, observation data. ABSTRACT: Intrusion Detection Systems are designed to detect system attacks Re...

Intrusion Detection is one of major threats for organization. The approach of intrusion detection using text processing has been one of research interests which is gaining significant importance from researchers. In text mining based approach for intrusion detection, system calls serve as source for mining and predicting possibility of intrusion or attack. When an application runs, there might ...

Network-based intrusion has become a serious threat to today’s highly networked information systems, yet the overwhelming majority of current network security mechanisms are “passive” in response to network-based attacks. In particular, tracing and detection of the source of network-based intrusion has been left largely untouched in existing intrusion detection mechanisms. The fact that intrude...

This paper presents our statistical based intrusion detection framework for computer networks. This framework uses the six sigma technique to identify the thresholds for the critical network parameters. With the help of raw network data, the thresholds identified are used to differentiate normal, uncertain and abnormal behavior due to network intrusion. This is then used for efficient detection...

In network security, Intrusion Detection System plays a reasonable supplementary role for the firewall. It improves the security and reliability of the computer and helps protect computers from network attacks. At present intrusion detection system analysis module uses the pattern matching technology. In this article, through analyzing the advantages and disadvantages of the main pattern matchi...

Intrusion detection system is one of the possible solutions to timely detect the intrusions and alarm for appropriate action. So far many intrusion detection systems have been proposed for ad-hoc networks, however due to the different characteristics, such intrusion detection systems cannot perform well in wireless mesh networks environment. In this paper, we propose a new framework of intrusio...