A Slow DoS Detection Framework for Resource-Constrained IoT Networks

Reed, Andy (2021). A Slow DoS Detection Framework for Resource-Constrained IoT Networks. In: CRC PhD Conference 2021, The Open University, 18h Jun 2021, Online.

Abstract

Internet of Things (IoT) networks have witnessed rapid growth in adoption by virtue of their ease of operation, mobility, scalability and the generally low cost of IoT devices. Limited resources, however, means IoT devices offer restricted security features so are innately vulnerable to malicious attack as highlighted by the Mirai botnet attack which triggered large-scale web server disruption. One such malicious threat to web services is the Denial of Service (DoS) attack, which is designed to flood the target with large amounts of traffic causing excessive use of limited memory and processing resources. To reliably detect Slow DoS attacks on IoT web servers, this paper presents an innovative real-time IDS strategy framed by a critical analysis of TCP traffic.

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