Title: An improved security approach for attack detection and mitigation over IoT networks using HACABO and Merkle signatures

Authors: E.S. Phalguna Krishna; Thangavelu Arunkumar

Addresses: SCOPE, Vellore Institute of Technology, Vellore, India ' School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

Abstract: IoT is an agglomeration of heterogeneous technologies and interconnected devices that are autonomous and self-configurable. Its constrained resources characteristic has made it more vulnerable to harmful attacks and tend to data loss and resource exhaustion due to wireless architecture of IoT. Handling security attacks, more particularly DDoS attack, is one of the key challenges in an IoT environment. This paper focuses on detection and prevention mechanism of IoT attacks. For that, an attack detection mechanism with hybrid ant colony African buffalo optimisation and hash-based Merkle signature-prevention mechanism is proposed. The paper also introduces economic DoS (E-DoS) shield mechanism using CloudWatch to prevent high rate DDoS attacks since the conventional approaches cannot prevent it. Also, the efficiency of the developed model is compared with recent works.

Keywords: internet of things; IoT; denial of service; DoS; E-DoS; IoT attacks; attack detection; attack prevention; Merkle signature.

DOI: 10.1504/IJITST.2021.117419

International Journal of Internet Technology and Secured Transactions, 2021 Vol.11 No.5/6, pp.494 - 517

Received: 01 Jan 2020
Accepted: 26 Mar 2020

Published online: 06 Sep 2021 *

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