This paper presents an examination of intrusion detection schemes. It discusses traditional views of intrusion detection, and examines the more novel, but perhaps more effective, approach to intrusion detection as modeled on the human immune system. The discussion looks at some of the implications raised by intrusion detection research for information security in general.

The explosive growth of malicious activities on worldwide communication networks, such as the Internet, has highlighted the need for efficient intrusion detection systems. The efficiency of traditional intrusion detection systems is limited by their inability to effectively relay relevant information due to their lack of interactive/immersive technologies. In this paper, we explore several netw...

The area of intrusion detection is the central concept in overall network and computer security architecture. It is an important technology in business sector as well as in research area. By monitoring the computer and network resources, Intrusion Detection System (IDS) detects any of the misuse or unauthorized access which is basically an attack to these resources. Then it alerts and informs a...

ALDWAIRI, MONTHER MUSTAFA. Hardware Efficient Pattern Matching Algorithms and Architectures for Fast Intrusion Detection. (Under the direction of Dr. Paul Franzon). Intrusion detection processors are becoming a predominant feature in the field of network hardware. As demand on more network speed increases and new network protocols emerge, network intrusion detection systems are increasing in im...

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...