Hybrid Intrusion Detection Framework for Ad Hoc Networks

Hybrid Intrusion Detection Framework for Ad Hoc Networks

Abdelaziz Amara Korba, Mehdi Nafaa, Salim Ghanemi
ISBN13: 9781522598664|ISBN10: 1522598669|EISBN13: 9781522598671
DOI: 10.4018/978-1-5225-9866-4.ch060
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MLA

Korba, Abdelaziz Amara, et al. "Hybrid Intrusion Detection Framework for Ad Hoc Networks." Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 1312-1346. https://doi.org/10.4018/978-1-5225-9866-4.ch060

APA

Korba, A. A., Nafaa, M., & Ghanemi, S. (2020). Hybrid Intrusion Detection Framework for Ad Hoc Networks. In I. Management Association (Ed.), Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications (pp. 1312-1346). IGI Global. https://doi.org/10.4018/978-1-5225-9866-4.ch060

Chicago

Korba, Abdelaziz Amara, Mehdi Nafaa, and Salim Ghanemi. "Hybrid Intrusion Detection Framework for Ad Hoc Networks." In Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1312-1346. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9866-4.ch060

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Abstract

In this paper, a cluster-based hybrid security framework called HSFA for ad hoc networks is proposed and evaluated. The proposed security framework combines both specification and anomaly detection techniques to efficiently detect and prevent wide range of routing attacks. In the proposed hierarchical architecture, cluster nodes run a host specification-based intrusion detection system to detect specification violations attacks such as fabrication, replay, etc. While the cluster heads run an anomaly-based intrusion detection system to detect wormhole and rushing attacks. The proposed specification-based detection approach relies on a set of specifications automatically generated, while anomaly-detection uses statistical techniques. The proposed security framework provides an adaptive response against attacks to prevent damage to the network. The security framework is evaluated by simulation in presence of malicious nodes that can launch different attacks. Simulation results show that the proposed hybrid security framework performs significantly better than other existing mechanisms.

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