@inproceedings{5fc4d0304aa240bcaba91e630b4efffd,
title = "A novel approach of botnet feature analysis",
abstract = "Computers infected by botnets can be remotely controlled by attackers on the cloud, which is one of the most common attack platforms on software systems and has become an important issue in the information security domain. In this paper, we collect and analyze the suspicious cloud network flow information by setting up experiment environments for observing different infected machines for extracting features of real-world botnets and monitoring the machines connected to botnet black lists in the network of National Cheng Kung University.",
author = "Chen, {S. L.} and Chen, {Y. Y.} and Cheng, {Y. T.} and Kuo, {S. H.} and Wang, {H. P.}",
note = "Funding Information: The authors thank the Ministry of Science and Technology No. MOST-103-2221-E-006-085 for funding this research and providing related technological support. The authors acknowledge Dr Chang-Shing Lee and Hsien-De Huang for help with the software operation and providing malware concept instructions. Publisher Copyright: {\textcopyright} 2016 Taylor & Francis Group.; International Conference on Applied System Innovation, ICASI 2015 ; Conference date: 22-05-2015 Through 27-05-2015",
year = "2016",
doi = "10.1201/b21811-204",
language = "English",
isbn = "9781138028937",
series = "Applied System Innovation - Proceedings of the International Conference on Applied System Innovation, ICASI 2015",
publisher = "CRC Press/Balkema",
pages = "1027--1030",
editor = "Teen-Hang Meen and Prior, {Stephen D.} and Lam, {Artde Donald Kin-Tak}",
booktitle = "Applied System Innovation - Proceedings of the International Conference on Applied System Innovation, ICASI 2015",
}