Intrusion Detection Systems (IDS) is defined as a component that analyses system and user operations in computer and network systems in search of activities considered undesirable from security perspectives. Applying mobile agent (MA) to intrusion detection design is a recent development and it is aimed at effective intrusion detection in distributed environment. From the literature, it is clea...

Anomaly based intrusion detection system (A-IDS) is considered to be a better option than signature based system since it does not require prior knowledge of attack signature before it can be used to detect an intrusion. However managing alarms generated by this system is more difficult than signature-based intrusion detection systems (SIDSs). This is due to the fact that S-IDS generates rich i...

An intrusion detection system (IDS) is used to manage network traffic and monitors for suspicious activity and alerts the system or network administrator. One of the major properties of IDS is to respond for anomalous or malicious traffic by taking action such as blocking the user or source IP address from accessing the network. IDS can identify threats in various ways: 1) it detects specific s...

Intrusion Detection System (IDS) plays a vital factor in providing security to the networks through detecting malicious activities. Due to the extensive advancements in the computer networking, IDS has become an active area of research to determine various types of attacks in the networks. A large number of intrusion detection approaches are available in the literature using several traditional...

Currently available products only provide some support in terms of Intrusion Prevention and Intrusion Detection, but they very much lack Intrusion Diagnosis features. We discuss the limitations of current Intrusion Detection System (IDS) technology, and propose a novel approach which we call Intrusion Detection & Diagnosis System (IDS) technology to overcome such limitations. The basic idea is ...

In this paper we will demonstrate how one can model and analyse Intrusion Detection Systems (IDSs) and their environment using the process algebra Communicating Sequential Processes (CSP) [11, 21] and its model checker FDR [9]. An Intrusion Detection System (IDS) is a system that detects abuses, misuses and unauthorised uses in a network. We show that this analysis can be used to discover two a...

Problem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Approach: Intrusion detection system for local area network by using Support Vector Machines (SVM) wa...

As the number of networked computers grows, intrusion detection is an essential component in keeping networks secure. Various approaches for intrusion detection are currently being in use with each one has its own merits and demerits. This paper presents our work to test and improve the performance of a new class of decision tree c-fuzzy decision tree to detect intrusion. The work also includes...

The goal of intrusion detection systems(IDS) is to protect from the signs of security problems. However, since an IDS usually depends on the monitored data and has to identify an intruder, the running of IDS comes to threaten users’ privacy. In this paper, we propose a new privacy preserving method in intrusion detection system by applying cryptographic methods to log files. It can meet the enh...

Intrusion Detection has been investigated for many years and the field reached the maturity. Nevertheless, there are still important challenges, e.g., how an Intrusion Detection System (IDS) can detect distributed attacks. To tackle this problem, we propose a novel distributed IDS, based on the desirable features provided by the mobile agent methodology and the high accuracy offered by the data...