Computer network systems are constantly under attack or have to deal with attack attempts. The first step in any network’s ability to fight against intrusive attacks is to be able to detect intrusions when they are occurring. Intrusion Detection Systems (IDS) are therefore vital in any kind of network, just as antivirus is a vital part of a computer system. With the increasing computer network ...

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...

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 Multi-Expression Programming (MEP) to detect intrus...

It is important for intrusion detection systems (IDSs) to share information in order to discover attacks involving multiple sites. However, no framework exists for an IDS to request from and send to another IDS data relevant to specific events. The lack of such a framework may result in a waste of processing time, storage capacity and network bandwidth. This paper proposes a formal framework mo...

Intrusion detection systems (IDSs) must maximize the realization of security goals while minimizing costs. In this paper, we study the problem of building cost-sensitive intrusion detection models. We examine the major cost factors associated with an IDS, which include development cost, operational cost, damage cost due to successful intrusions, and the cost of manual and automated response to ...

Computer networks are nowadays subject to an increasing number of attacks. Intrusion Detection Systems (IDS) are designed to protect them by identifying malicious behaviors or improper uses. Since the scope is different in each case (register already-known menaces to later recognize them or model legitimate uses to trigger when a variation is detected), IDS have failed so far to respond against...

Intrusion Detection System (IDS) has increasingly become a crucial issue for computer and network systems. Optimizing performance of IDS becomes an important open problem which receives more and more attention from the research community. This paper, design and develop a proposed multi-layer intrusion detection model to achieve high efficiency and improve the detection and classification rate a...

Increase in the number of network based transactions for both personal and professional use has made network security gain a significant and indispensable status. The possible attacks that an Intrusion Detection System (IDS) has to tackle can be of an existing type or of an entirely new type. The challenge for researchers is to develop an intelligent IDS which can detect new attacks as efficien...

Data Security has become a very serious part of any organizational information system. Internet threats have become more intelligent so it can deceive the basic security solutions such as firewalls and antivirus scanners. To enhance the overall security of the network an additional security layer such as intrusion detection system (IDS) has to be added. The anomaly detection IDS is a type of ID...

Security systems are considered a necessity for the deployment of smart vehicles in our society. Security in vehicular ad hoc networks is crucial to the reliable exchange of information and control data. In this paper, an intelligent intrusion detection system (IDS) is proposed to protect the external communication of self-driving and semi self-driving vehicles. This technology has the ability ...