Comprehensive Survey of Machine Learning Techniques for Detecting and Preventing Network Layer DoS Attacks
作者：
Bhatta N.P.;Ghimire A.;Hossain A.A.;Amsaad F.
通讯作者：
Amsaad, F.
作者机构：
Wright State University, Dayton, OH 45435, United States
通讯机构：
Wright State UniversityUnited States
语种：
英文
关键词：
Detection,DOS attack,Machine Learning,Network layer
期刊：
IFIP Advances in Information and Communication Technology
ISSN：
1868-422X
年：
2024
卷：
684 AICT
页码：
347-356
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 increasing reliance on computer networks in our daily lives, the threat of network layer DoS (Denial of Service) attacks has become more prevalent. Attackers use various techniques to disrupt network services and cause loss of data, revenue, and reputation. Recent development in machine learning approaches have shown promise in prevention and detection of such types of attacks by several orders of magnitude. In this paper a thorough overview of machine learning approaches for detecting and preventing network layer DoS attacks is presented. Firstly, the basics of network layer DoS attacks, their classification, and the impact of these attacks is discussed. Then, d...
