This paper describes the design and implementation of a two-stage intrusion detection system (IDS) for use with mobile ad-hoc networks. Our anomaly-based intrusion detection is provided by analyzing the context from the application-level interactions of networked nodes; each interaction corresponds to a specific function or behavior within the operational scenario of the network. A static set of behaviors is determined offline, and these behaviors are tracked dynamically during the operation of the network. During the first stage of the IDS, our detection strategy employs the analysis of global and local maxima in the probability density functions of the behaviors to isolate deviance at the granularity of a single node. This stage is used to capture the typical behavior of the network. The first stage also provides tuning and calibration for the second stage. During the second stage, a cross-correlative component is used to detect multiple threats simultaneously. Our approach distributes the IDS among all connected network nodes, allowing each node to identify potential threats individually. The combined result can detect deviant nodes in a scalable manner and can operate in the presence of a density of deviant nodes approaching 22%. Computational requirements are reduced to adapt optimally to embedded devices on an ad-hoc network.

/pdf/a-distributed-intrusion-detection-system-for-resource-4uwn8gcr2d.pdf

A distributed intrusion detection system for resource-constrained devices in ad-hoc networks

A survey on Intrusion Detection and Prevention in Wireless Ad-hoc Networks

In recent years, Mobile Ad hoc NETworks MANETs have generated great interest among researchers in the development of theoretical and practical concepts, and their implementation under several computing environments. However, MANETs are highly susceptible to various security attacks due to their inherent characteristics. In order to provide adequate security against multi-level attacks, the researchers are of the opinion that detection-based schemes should be incorporated in addition to traditionally used prevention techniques because prevention-based techniques cannot prevent the attacks from compromised internal nodes. Intrusion detection system is an effective defense mechanism that detects and prevents the security attacks at various levels. This paper tries to provide a structured and comprehensive survey of most prominent intrusion detection techniques of recent past and present for MANETs in accordance with technology layout and detection algorithms. These detection techniques are broadly classified into nine categories based on their primary detection engine/s. Further, an attempt has been made to compare different intrusion detection techniques with their operational strengths and limitations. Finally, the paper concludes with a number of future research directions in the design and implementation of intrusion detection systems for MANETs. Copyright © 2016 John Wiley & Sons, Ltd.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sec.1484

Intrusion detection in mobile ad hoc networks: techniques, systems, and future challenges

http://cgi.di.uoa.gr/~xenakis/Published/40-COSE-II/COSE-MANETS-IDS-Evaluation.pdf

A comparative evaluation of intrusion detection architectures for mobile ad hoc networks

Anomaly detection has been actively investigated to enhance the security of wireless ad hoc networks. However, it also presents a difficulty on model determination, such as feature selection and algorithm parameter optimization. In this paper, we address the issue of parameter selection for one-class support vector machine (1-SVM) based anomaly detection. We have investigated the performance of existing approaches, and also proposed a skewness-based outlier generation approach for parameter selection in the 1-SVM based anomaly detection model

Model Selection for Anomaly Detection in Wireless Ad Hoc Networks

Ensuring security in wireless ad hoc networks is absolutely necessary and a must for any security-critical applications. In this paper, we report our progress in the development of an agent-based cooperative anomaly detection scheme for wireless ad hoc networks. The approach addresses the underlying distributed and cooperative nature of wireless ad hoc networks and adds one more dimension of cooperation to the intrusion detection process. That is, the anomaly detection is performed in a cooperative way involving the participation of multiple mobile nodes. Unlike traditional signature-based misuse detection approaches, the proposed scheme detects various types of intrusions/attacks based on the model learned only from normal network behaviors. Without the requirements of pre-labeled attack data, the approach eliminates the time-consuming labeling process and the impacts of imbalanced dataset. Besides, the concept of software agent technology has been applied in system implementation, which provides further support for distributed wireless ad hoc networks.

Agent-based cooperative anomaly detection for wireless ad hoc networks

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Agent-based cooperative anomaly detection for wireless ad hoc networks