Abstract: In this paper we examine Internet chat systems to classify the human and bot. Although chat as an application does not want huge amounts of traffic, chat systems are known to be habit-forming. This implies that catering to such users can be a promising way of attracting them, especially in low bandwidth environments such as wireless networks. A computer program designed to simulate conversation with human users, especially over the Internet chat server. chat bots often do conversations like they're a game of tennis: talk, reply, talk, reply .The flooding of chat services by automated programs, known as chat bots, poses a serious threat to Internet users. Chat bots target popular chat networks to distribute virus, spam and malware .In this paper, first conduct a study of on a huge commercial chat network. Our review capture a total of 16 different types of chat bots ranging from simple to advanced chat bots. Moreover, we observe that human behavior is very different than bot behavior. Based on the study, we see that a classification system to accurately distinguish chat bots from human users. The current available classification system consists of two compo-nents: 1) an entropy-based classifier; and 2) a Bayesian-based classifier. The two classifiers depends on each other in chat bot detection.
Keywords: Bots, classification, Internet chat.
Title: Classification of Human and Chat Bot for Server Side Security
Author: Miss. Snehal S. Deshmukh, Dr. M. S. Ali
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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