Spam and Bot Detection in DNS and Twitter Data Traffic
Grant
Overview
Affiliation
View All
Overview
abstract
The proliferation of mobile devices and the increasing advances in their capabilities have rendered mobile security one of the major concerns in these days. Botnets represent a major cyber security threat today. They are utilized for a multitude source of attacks such as distributed denial of service attacks, phishing, identity theft and spamming. Command and Control (C&C) servers communicate with the infected bots to convey attack related information or maintenance updates. While the most utilized C&C protocol utilized for botnet communication is IRC (Internet Relay Chat), today HTTP and social network communication is widely utilized to evade detection. In this project, we investigate spam and intrusion detection techniques in: (i) HTTP traffic, and (ii) social network traffic.
