Computer networks are now necessities of modern organisations and network security has become a major concern for them. In this paper we have proposed a holistic approach to network security with a hybrid model that includes an Intrusion Detection System (IDS) to detect network attacks and a survivability model to assess the impacts of undetected attacks. A neural network-based IDS has been pro...

One of most important existent issues in information security application domain is Intrusion Detection System (IDS); IDS is a defensive-aggressive system to protect information, verifying and responding to occurring attacks on computer systems and networks. This paper discusses different topics including presenting some strategies against IDSs to passing from them; this leads to improving dete...

This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time processing and response. The original formulation of MOVICAB-IDS combines different Computational Intelligence techniques within a multiagent system to perform Intrusion Detection in dynamic computer networks. This work extends the ...

With computer network’s fast penetration into our life, various types of malicious attacks and service abuses increase dramatically. Network security has become one of the big challenges in the modern networks. Intrusion Detection (ID) is one of the active branches in network security research field. Many technologies, such as neural networks, fuzzy logic and genetic algorithms have been applie...

Nowadays, much attention has been paid to intrusion detection system (IDS) which is closely linked to the safe use of network services. Several machine-learning paradigms including neural networks, linear genetic programming (LGP), support vector machines (SVM), Bayesian networks, multivariate adaptive regression splines (MARS) fuzzy inference systems (FISs), etc. have been investigated for the...

Intrusion detection system (IDS) is a kind of security management model that can be installed in computers and networks. IDS gather information from the network and computer and analyses it to find the possible security breaches into the system, which contain both intrusions and misuse. If we see modern IDS they also have few vulnerabilities, these systems also have drawbacks of false detection...

Network intrusion detection systems provide proactive defense against security threats by detecting and blocking attack-related traffic. This task can be highly complex, and therefore, software-based network intrusion detection systems have difficulty in handling high speed links. This paper describes the design and implementation of a highperformance network intrusion detection system that com...

We describe a number of problems which may reduce the effectiveness of a conventional network intrusion detection system. These problems are the result of the IDS having to second-guess the components or applications it is protecting. We propose a bi-directional interface between IDS and application. Applications use this interface to describe their state and submit their actions for approval t...

An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. An IDS does not eliminate the use of preventive mechanism but it works as the last defensive mechanism in securing the system. This paper evaluates the performances of Estimation of Distribution Algorithm (EDA) to train...

Over the past decade, Intrusion Detection Systems (IDS) have improved steadily in the efficiency and effectiveness with which they detect intrusive activity. This is particularly true with signature-based IDS due to progress with intrusion analysis and intrusion signature specification. At the same time system complexity, overall numbers of bugs and security vulnerabilities have been on the inc...