Shrew Distributed Denial-of-Service (DDoS) Attack in IoT Applications: A Survey
作者：
Singh H.;Baligodugula V.V.;Amsaad F.
通讯作者：
Amsaad, F.
作者机构：
Wright State University, 3640 Colonel Glenn Hwy, Dayton, OH 45435, United States
通讯机构：
Wright State University, 3640 Colonel Glenn Hwy, United States
语种：
英文
关键词：
Communication security,IOT,LDDoS Attack,Low-rate DDoS,Ns-2,Shrew DoS
期刊：
IFIP Advances in Information and Communication Technology
ISSN：
1868-422X
年：
2024
卷：
683 AICT
页码：
97-103
会议名称：
6th IFIP International Conference on Internet of Things, IFIP IoT 2023
会议时间：
2 November 2023 through 3 November 2023
摘要：
With the rise of IoT and cloud computing, DDoS attacks have become increasingly harmful. This paper presents a survey of techniques for detecting and preventing DDoS attacks, specifically focusing on Shrew DDoS or low-rate DDoS attacks. We explore the use of machine learning for DDoS detection and prevention and introduce a new potential technique that simplifies the process of detecting and preventing DDoS attacks originating from multiple infected machines, typically known as zombie machines. As a future direction, we discuss a new technique to simplify the detection and prevention of shrew DoS attacks originating from multiple infected machines, commonly known as botne...
