A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks

被引：0

作者：

Gupta, Himanshu ^{[1
]}

Kulkarni, Tanmay Girish ^{[1
]}

Kumar, Lov ^{[1
]}

Murthy, Neti Lalita Bhanu ^{[1
]}

机构：

[1] BITS Pilani, Hyderabad Campus, Hyderabad, India

来源：

MACHINE LEARNING FOR NETWORKING (MLN 2019) | 2020年 / 12081卷

关键词：

Distributed denial of service attacks; Honey pot; Machine learning; Clustering algorithms; Attacker profiling;

D O I：

10.1007/978-3-030-45778-5_27

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Traditionally, research in Network Security has largely focused on Intrusion Detection and the use of Machine Learning techniques towards identifying malicious agents as well as work on methods towards protecting ourselves from such attacks. In this paper, we wish to make use of the same techniques to analyze the profile of the attacker in the case of a DDoS attack on a distributed honeypot.

引用

页码：392 / 402

页数：11

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