A new method to classify malicious domain name using neutrosophic sets in DGA botnet detection-Reference-Cited by-同舟云学术

A new method to classify malicious domain name using neutrosophic sets in DGA botnet detection

Published:2020-04-30 Issue:4 Volume:38 Page:4223-4236
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Van Can Nguyen¹,Tu Doan Ngoc¹,Tuan Tong Anh¹,Long Hoang Viet¹,Son Le Hoang²,Son Nguyen Thi Kim³⁴

Affiliation:

1. Facutly of Information Technology, People’s Police University of Technology and Logistics, Bac Ninh, Vietnam

2. VNU Information Technology Institute, Vietnam National University, Hanoi, Vietnam

3. Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

4. Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference30 articles.

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3. Gu G. , Zhang J. and Lee W. , BotSniffer: Detecting botnet command and control channels in network traffic, in: Proceedings of the 15th Annual Network and Distributed System Security Symposium (NDSS’08), (2008).

4. A new neutrosophic approach to image thresholding;Cheng;New Math Nat Comput,2009

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