Botnet Detection Algorithms
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Recent papers in Botnet Detection Algorithms
With the raise in practice of Internet, in social, personal, commercial and other aspects of life, the cybercrime is as well escalating at an alarming rate. Such usage of Internet in diversified areas also augmented the illegal... more
The results of botnet detection methods are usually presented without any comparison. Although it is generally accepted that more comparisons with third-party methods may help to improve the area, few papers could do it. Among the factors... more
–The Spam Emails are regularly causing huge losses to business on a regular basis. The Spam filtering is an automated technique to identity SPAM and HAM (Non-Spam). The Web Spam filters can be categorized as: Content based spam filters... more
Malware create a seriously problem to the infected computer. People was believe that installing antivirus can mitigate the computer being infected. Unfortunately, malware designer actively create botnet being hide from the antivirus. In... more
During the last decade, botnet emerged as one of the most serious malware which possess a serious threat to the Internet. Due to significant research effort in this domain there are many different detection methods based on diverse... more
With the raise in practice of Internet, in social, personal, commercial and other aspects of life, the cybercrime is as well escalating at an alarming rate. Such usage of Internet in diversified areas also augmented the illegal... more
Botnets have in recent times, become a very major challenge in the cyberspace. The Global Internet has experienced tremendous attacks designed mainly to disable internet infrastructure on one hand, while in most other cases people and... more
The Internet or World Wide Web has become prominent platform for business and commerce and is witnessing user growth with increased penetration of mobile Internet. Huge traffic is being generated, some of it being legitimate and the rest... more
This paper presents network behavioral features of botnets that can be used to accomplish accurate malware detection. By analyzing and comparing known malware and normal processes, we have successfully exploited differences in their... more
Abstract: A novel algorithm for the detection of underwater man-made objects in forward-looking sonar imagery is proposed. The algorithm takes advantage of the integral-image representation to quickly compute features, and progressively... more
A Botnet is one of many attacks that can execute malicious tasks and develop continuously. Therefore, current research introduces a comparison framework, called BotDetectorFW, with classification and complexity improvements for the... more