期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2017
卷号：17
期号：11
页码：182-188
出版社：International Journal of Computer Science and Network Security
摘要：Bots abuse legitimate protocols privileges for unauthorized purposes. Due to the large-scale of these subversive intentions, paying attention to the expansion of botnet and control channels has a major proportion of recent researches. Attackers use this type of network to carry out widespread attacks and access to confidential information as well as access to sensitive organizational systems within countries. A vastly expanded potential of Bots is ability of using a variety of protocols, different patterns of behavior in communication and variety of social networks for the exchange of information. In this paper, we focus on exploring the neighboring domains on the DNS traffic and identifying patterns by feature extraction, behavioral entropy calculation, and a system weighting algorithm to detect the active network in the DNS as an essential substrate of the Internet.
