This paper introduces a novel FPGA-based signature match co-processor that can serve as the core of a hardware-based network intrusion detection system (NIDS). The key feature of the signature match co-processor is an architecture based on the shift-or algorithm, which employs simple shift registers, or-gates, and ROMs where patterns are stored. As compared with related work, experimental resul...

Design and operational vulnerabilities are accepted as inevitable in today's complex computer systems. The dis­ tributed and networked nature of the systems that are cur­ rently in use and being developed facilitate discovery and exploitation of these flaws in increasingly new and easier ways. Intrusion Tolerance acknowledges that it is impos­ sible to completely prevent attacks and intrusions,...

Artificial Immune Systems (AIS) have long been used in the field of computer security and especially in Intrusion Detection systems. Intrusion detection based on AISs falls into two main categories. The first generation of AIS is inspired from adaptive immune reactions but, the second one which is called danger theory focuses on both adaptive and innate reactions to build a more biologically-re...

Intrusion detection is a significant focus of research in the security of computer systems and networks. This paper presents an analysis of the progress being made in the development of effective intrusion detection systems for computer systems and distributed computer networks. The technologies which are discussed are designed to detect instances of the access of computer systems by unauthoriz...

This paper describes a technique of applying Genetic Algorithm (GA) to network Intrusion Detection Systems (IDSs). A brief overview of the Intrusion Detection System, genetic algorithm, and related detection techniques is presented. Parameters and evolution process for GA are discussed in detail. Unlike other implementations of the same problem, this implementation considers both temporal and s...

In the real time Intrusion Detection system, the main confront is to detect the Anomaly Intrusion Detection system Model with ADWIN change Detector. intrusion detection system, that utilizes machine learning techniques such as single classifier and hybrid build the model was decreased and the detection. Intrusion Detection System (IDS) to detect and prevent cybercrimes to protect these The prop...

Signature-based intrusion detection systems use a set of attack descriptions to analyze event streams, looking for evidence of malicious behavior. If the signatures are expressed in a well-defined language, it is possible to analyze the attack signatures and automatically generate events or series of events that conform to the attack descriptions. This approach has been used in tools whose goal...

Intrusion detection is an area of increasing concern in the Internet community. In response to this, many automated intrusion detection systems (IDS) have been developed, e.g., commercial (Real Secure) and public domain (SNORT). However, there is no standardized way for IDS to communicate with each other or to a common manager. To remedy this, the Intrusion Detection Working Group (IDWG) was ch...

Nowadays, honeypots are widely used to divert attackers from the original target and keep them busy within a decoy environment. DeMilitarized Zone (DMZ) is an important zone for network administrators, because many of the services to the public network is provided at this zone. Many of the security tools such as firewalls, intrusion detection systems and several other secu...