Intrusion Detection and Prevention System is a must for mobile ad networks as the security mechanisms like encryption, authentication and firewall systems are not able to completely secure the nodes and their communication. In this paper, we aim to study the various intrusion detection and prevention systems that were proposed for Mobile Adhoc Networks (MANETs) and compare the recent techniques...

The Particle Swarm Optimization is very efficient in intrusion detection in the networks. However, many intrusion detection systems either fail to detect or falsely detect the intrusions. This paper proposes a technique for intrusion detection using Particle Swarm Optimization with Genetic Algorithm based feature selection and using Adaptive Mutation for slow convergence of optimization algorit...

As computer attacks are becoming more and more difficult to identify the need for better and more efficient intrusion detection systems increases. The main problem with current intrusion detection systems is high rate of false alarms. In this paper we discuss our experience in analyzing potential benefits of distributed multi sensor systems for intrusion detection. Our purpose for this work is ...

To make up for the incompleteness of the known behaviors of a computing resource, model generalization is utilized to infer more behaviors in the behavior model besides the known behaviors. In principle, model generalization can improve the detection rate but may also degrade the detection performance. Therefore, the relation between model generalization and detection performance is critical fo...

Intrusion detection is an emerging area of research in the computer security and networks with the growing usage of internet in everyday life. An Intrusion Detection is an important in assuring security of network and its different resourses. Intrusion detection attempts to detect computer attacks by examining various data records observed in processes on the network. Recently data mining metho...

Mobile ad hoc networks and wireless sensor networks have promised a wide variety of applications. However, they are often deployed in potentially adverse or even hostile environments. Therefore, they cannot be readily deployed without first addressing security challenges. Intrusion detection systems provide a necessary layer of in-depth protection for wired networks. However, relatively little ...

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...

Mobile ad hoc networks and wireless sensor networks have promised a wide variety of applications. However, they are often deployed in potentially adverse or even hostile environments. Therefore, they cannot be readily deployed without first addressing security challenges. Intrusion detection systems provide a necessary layer of indepth protection for wired networks. However, relatively little r...

In this paper we propose a framework for intrusion detection called Fuzzy Agent-Based Intrusion Detection. A unique feature of our model is that the agents use the fuzzy logic to process log files. This reduces the overhead in a distributed intrusion detection system. We have developed an agent communication architecture that provides a prototype implementation. Key-Words: intrusion detection, ...

With the growth of networked computers and associated applications, intrusion detection has become essential to keeping networks secure. A number of intrusion detection methods have been developed for protecting computers and networks using conventional statistical methods as well as data mining methods. Data mining methods for misuse and anomaly-based intrusion detection, usually encompass sup...