Title: LIDS security shield: lightweight intrusion detection system (IDS) for detecting DDoS attacks on IoT environment

Authors: Sai Suchith Kurra; Likhitha Rayana; Sai Anurag Ayyalasomayajula; Mohamed Sirajudeen Yoosuf

Addresses: School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India ' School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India ' Computer Science and Engineering (Data Science Department), BV Raju Institute of Technology, Narsapur, Medak, Telangana, India ' Department of Mathematics and Computer Science, Modern College of Business Science, Muscat, Oman

Abstract: The proliferation of edge computing and the Internet of Things (IoT) has raised serious concerns about linked devices' susceptibility to Distributed Denial of Service (DDoS) attacks. The new lightweight Intrusion Detection System (IDS) model proposed in this study is intended only for the detection of DDoS assaults against edge and Internet of Things devices. Because they frequently use a lot of resources, traditional IDS solutions are inappropriate for resource-constrained IoT and edge computing settings. With minimal computing overhead, the suggested methodology uses anomaly detection and machine learning techniques to find patterns linked to DDoS assaults. In addition, the model considers the particularities of IoT and edge devices, considering things like constrained computing power, energy limitations and communication protocols. The IDS model's lightweight design ensures its applicability to resource-constrained devices, making it an invaluable tool for bolstering security in the rapidly expanding IoT and edge computing ecosystems.

Keywords: IoT; DDoS attack; edge device; cyber-security; light-weight IDS system.

DOI: 10.1504/IJGUC.2025.148542

International Journal of Grid and Utility Computing, 2025 Vol.16 No.5/6, pp.540 - 551

Received: 07 Apr 2024
Accepted: 26 Jun 2024
Published online: 11 Sep 2025 *

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