Title: Comprehensive review on distributed denial of service attacks in wireless sensor networks

Authors: Shalini Subramani; M. Selvi

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

Abstract: Distributed denial of service (DDoS) is the most popular disruptive type of attack in wireless sensor networks (WSNs). It is extremely harmful for the functioning of the network, since it generates a huge amount of traffic through flooding of the spam packets into the target system. The malicious nodes present in the network prevent the legitimate users from the access to the network through flooding. Hence, it is necessary to handle this issue. Intrusion detection systems (IDSs) are used to monitor all incoming packets and they can compare the traffic patterns to detect the anomalous network activity. In this paper, a survey of works on DDoS attacks launched by the malicious users and the detection of such attacks using IDS are discussed. Moreover, this survey focuses on the IDSs developed using classification techniques since they have been used for detecting and preventing the DDoS attacks more efficiently.

Keywords: DoS attacks; distributed denial of service; DDoS attacks; intrusion detection systems; IDSs; artificial intelligence and machine learning approaches; wireless sensor networks; WSNs.

DOI: 10.1504/IJICS.2023.128828

International Journal of Information and Computer Security, 2023 Vol.20 No.3/4, pp.414 - 438

Received: 07 May 2021
Accepted: 22 Oct 2021
Published online: 07 Feb 2023 *

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