Shrew Distributed Denial-of-Service (DDoS) Attack in IoT Applications: A Survey
作者：
Singh, Harshdeep;Baligodugula, Vishnu Vardhan;Amsaad, Fathi
通讯作者：
Amsaad, F
作者机构：
Wright State Univ, 3640 Colonel Glenn Hwy, Dayton, OH 45435 USA.
通讯机构：
Wright State Univ, 3640 Colonel Glenn Hwy, Dayton, OH 45435 USA.
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
页码：
97-103
会议名称：
6th IFIP WG 5.5 International Cross-Domain Conference on Internet of Things
会议时间：
NOV 02-03, 2023
会议地点：
Denton, TX
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...
