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...

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.

Computer and network security has received and will still receive much attention. Any unexpected intrusion will damage the network. It is therefore imperative to detect the network intrusion to ensure the normal operation of the internet. There are many studies in the intrusion detection and intrusion patter recognition. The artificial neural network (ANN) has proven to be powerful for the intr...

Network security is one of the major concerns of studies have been conducted on the intrusion detection system. Cluster-based Wireless A novel hybrid intrusion detection method method for wireless sensor networks. Accepted papers & International Conference on Advanced Wireless, Paper title:A Low-Complex Coverage Eligibility Algorithm For Wireless Sensor Networks. Paper title: A Novel Cluster He...

IPv6 has enough IP addresses to solve the problem of lack of IP address space. However, there are many security problems to be concerned. The detection ability of current intrusion detection system is poor when given less priori knowledge. In this paper, we analyze the Least Squares Support Vector Machine (LS-SVM) algorithm and the working process of snort intrusion detection system. And then w...

A Swarm-intelligence-based intrusion detection technique is proposed to in order to reduce the misjudgment & misdetection and increase the real-time response in the existing intrusion detection techniques show. Separating a huge and complicated intrusion detection system into severer independent detection units with unique function so that the amount of detection data processing and the complex...

In recent years, wireless ad hoc sensor network becomes popular both in civil and military jobs. However, security is one of the significant challenges for sensor network because of their deployment in open and unprotected environment. As cryptographic mechanism is not enough to protect sensor network from external attacks, intrusion detection system needs to be introduced. Though intrusion pre...

Nowadays the organizations are facing the number of threats every day in the form of viruses and attack etc. Since many different mechanisms were preferred by organizations in the form of intrusion detection and prevention system to protect its organizations from these kinds of attacks. Intrusion Detection System (IDS) is considered as a system integrated with intelligent subsystems. In this pa...

In this paper, we present a new learning algorithm for anomaly based network intrusion detection using improved self adaptive naïve Bayesian tree (NBTree), which induces a hybrid of decision tree and naïve Bayesian classifier. The proposed approach scales up the balance detections for different attack types and keeps the false positives at acceptable level in intrusion detection. In complex and...