Title: Developing malevolent node-based protection system against jamming attack in agent assisted CRN

Authors: Natasha Saini; Nitin Pandey; Ajeet Pal Singh

Addresses: Amity University, Amity University Noida Campus, Sector-125, Noida, Uttar Pradesh 201313, India ' Amity University, Amity University Noida Campus, Sector-125, Noida, Uttar Pradesh 201313, India ' Raj Kumar Goel Institute of Technology, Ghaziabad, India 5KM Stone, Delhi-Meerut Rd, Ghaziabad, Uttar Pradesh 201003, India

Abstract: Recent advancements in CRN realises many applications such as industrials, future fifth generation network, vehicular network and so on. However, CRN is vulnerable to security attacks which are held on different layers of the network. Many research works are followed up on CRN in the security perspective but none of them is able to secure network from multiple attacks. This paper presents a malevolent node-based protection system (MNPS) to mitigate SSDF attack and jamming attack in agent assisted CRN. Network is prevented from unauthorised SUs with the aid of certificate aware hash chaining (CAHC) algorithm-based authentication process. Malevolent SUs in the network are detected by analysing sensing reports of SUs and SA. SSDF attack detection is carried out using trust conscious attacker detection (TCAD) scheme in which improved k-means (IK-means) algorithm is involved for report analysis. Malevolent SU is act as supporter node in order to mitigate jamming attack in the network. Best channel that attracts attackers towards it is assigned for supporter node by hybrid cuckoo search with firefly algorithm (HCS-FFA). Extensive experimental results show promising results in delay, packet delivery ratio, secrecy rate, signal to interference and noise ratio (SINR), and probability of false-alarm.

Keywords: cognitive radio network; CRN; spectrum agent; spectrum sensing data falsification; SSDF; jamming; trust value; malevolent node.

DOI: 10.1504/IJICS.2020.108128

International Journal of Information and Computer Security, 2020 Vol.13 No.1, pp.73 - 96

Received: 27 Apr 2018
Accepted: 18 Sep 2018
Published online: 03 Jul 2020 *

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