Before the flourishing of the Internet, computers were limited to the walls of the organization where computers were linked to each other but had little contact with computer systems outside. Now, we can reach farther, and can expose and link our computers to the entire world; however, such capabilities have made our privacy and assets vulnerable to cyber space attackers. Fortunately, attacks c...

Data mining techniques have been successfully applied in many fields including marketing, manufacturing, process control, fraud detection and network management. In recent years, data mining-based Intrusion Detection Systems (IDS) have demonstrated high accuracy, good generalization to novel types of intrusion, and robust behavior in a changing environment. In data mining based intrusion detect...

This paper explores the application of probabilistic information retrieval theories to the field of log analysis and host-based intrusion detection. Strong similarities exist between intrusion detection and information retrieval. Using information retrieval techniques may yield significant improvements to the performance of intrusion detection systems. This paper provides a brief review of curr...

Along with its numerous benefits, the Internet also created numerous ways to compromise the security and stability of the systems connected to it. In 2003, 137529 incidents were reported to CERT/CC © while in 1999, there were 9859 reported incidents (CERT/CC©, 2003). Operations, which are primarily designed to protect the availability, confidentiality and integrity of critical network informati...

attack representation. If an appropriate abstraction can be found, signaturebased systems can identify previously unseen attacks that are abstractly equivalent to known patterns. They are inherently unable to detect truly novel attacks and suffer from false alarms when signatures match both intrusive and nonintrusive sensor outputs. Signatures can be developed in a variety of ways, from hand tr...

s & Commentary

In government and industry, intrusion detection systems (IDSs) are now stan­ dard equipment for large networks. IDSs are software or hardware systems that automate the process of monitor­ ing the events occurring in a computer system or network, analyzing them for signs of security problems. Despite the expansion of IDS technology in recent years, the accuracy, performance, and effectiveness of...

Because all vulnerabilities of a network cannot be predicted beforehand, and penetration of the system cannot always be prevented, intrusion detection systems have become necessary to ensure the security of a network. The intrusion detection systems need to be accurate, adaptive, and extensible. Given these requirements and the complexities of today’s network environments, the design of an intr...

Research in automated computer security intrusion detection, intrusion detection for short, is maturing. Several difficulties remain to be solved before intrusion detection systems become commonplace as part of real-world security solutions. One such difficulty regards the subject of effectiveness, how successful the intrusion detection system is at actually detecting intrusions with a high deg...

In this paper a topology of neural network intrusion detection system is proposed on which different backpropagation algorithms are benchmarked. The proposed methodology uses sampled data from KddCup99 data set, an intrusion detection attacks database that is a standard for the evaluation of intrusion detection systems. The performance of backpropagation algorithms implemented in batch mode, is...