作者
Santhosh Kumar Chenniappanadar, Sundharamurthy Gnanamurthy, Vinoth Kumar Sakthivelu, Vishnu Kumar Kaliappan
发表日期
2022/12/1
期刊
International Journal of Communication Networks and Information Security
卷号
14
期号
3
页码范围
16-25
出版商
Kohat University of Science and Technology (KUST)
简介
Internet usage has become essential for correspondence in almost every calling in our digital age. To protect a network, an effective intrusion detection system (IDS) is vital. Intrusion Detection System is a software application to detect network intrusion using various machine learning algorithms. The function of the expert has been lessened by machine learning approaches since knowledge is taken directly from the data. The fact that it makes use of all the features of an information packet spinning in the network for intrusion detection is weakened by the employment of various methods for detecting intrusions, such as statistical models, safe system approaches, etc. Machine learning has become a fundamental innovation for cyber security. Two of the key types of attacks that plague businesses, as proposed in this paper, are Denial of Service (DOS) and Distributed Denial of Service (DDOS) attacks. One of the most …
引用总数
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