There are distinguished two categories of intrusion detection approaches utilizing machine learning according to type of input data. The first one represents network intrusion detection techniques which consider only data captured in network traffic. The second one represents general intrusion detection techniques which intake all possible data sources including host-based features as well as n...

GUEST EDITORIAL bout 20 years ago in November 1988, the Morris worm spread through the Internet, taking down thousands of computers. The incident prompted the U.S. Defense Advanced Research Programs Agency to establish the CERT/CC to coordinate activities to defend against future Internet security problems, and was one of the first media stories to raise public awareness about network security....

With the massive connectivity provided by modern computer networks, more and more systems are subject to attack by intruders. The creativity of attackers, the complexities of host computers, along with the increasing prevalence of distributed systems and insecure networks such as the Internet have contributed to the difficulty in effectively identifying and counteracting security breaches. As s...

This paper analysis and criticizes the way of using, functioning the intrusion detection system in data mining. Understanding the techniques. A survey on Data Mining based Intrusion Detection Systems phase, intrusion detection system is studied. are analysed using any network administrator. 1Data Mining and Optimization Research Group (DMO), Centre for Artificial Intrusion Detection System (IDS...

As the number of attacks on computer systems increases and become more sophisticated, there is an obvious need for intrusion detection systems to be able to effectively recognize the known attacks and adapt to novel threats. The specification-based intrusion detection has been long considered as a promising solution that integrates the characteristics of ideal intrusion detection system: the ac...

Data have become a very important asset to many organizations, companies, and individuals, and thus, the security of relational databases that encapsulate these data has become a major concern. Standard database security mechanisms, as well as network-based and host-based intrusion detection systems, have been rendered inept in detecting malicious attacks directed specifically to databases. The...

20.1 Intruders Intruder Behavior Patterns Intrusion Techniques 20.2 Intrusion Detection Audit Records Statistical Anomaly Detection Rule-Based Intrusion Detection The Base-Rate Fallacy Distributed Intrusion Detection Honeypots Intrusion Detection Exchange Format 20.3 Password Management Password Protection Password Selection Strategies 20.4 Recommended Reading and Web Sites 20.5 Key Terms, Revi...

With the growth of computer networking, electronic commerce, and web services, security of networking systems has become very important. Many companies now rely on web services as a major source of revenue. Computer hacking poses significant problems to these companies, as distributed attacks can render their cyberstorefront inoperable for long periods of time. This happens so often, that an en...

In this paper we discuss our research in developing intrusion detection software framework for modeling, simulation and detection computer system intrusion based on partially ordered events and patterns FEIIDS. The article describes problematic of intrusion detection systems and intrusions detection. We provide concrete design of developed framework based on intrusion signatures threats are mat...