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Recent developments in Internet technology have led to an increased importance of network traffic classification. In this study, we used machine-learning methods for the identification of applications using network traffic classification. Contrary to existing studies, which classify applications into categories like FTP, Instant Messaging, etc., we tried to identify popular end-user applications such...
Short message service (SMS) has become a very popular medium for communication due to its convenience and low cost. SMS text messaging makes it easy to provide a false name, age, gender, and location in order to hide one's true identity. Consequently it has become important to establish new cyber forensics methods, such as detecting SMS message authors, as a post-hoc analysis technique deemed useful...
SPam over Instant Messaging (SPIM), is becoming one of the major challenges for the IM Networks. These messages affect the overall performance in various ways, ranging from waste of resources e.g. Memory, unwanted traffic on the Network, to major disasters e.g. spread of worms, DoS attacks etc. Different techniques have been proposed for the detection of SPIM; based on content-based searches, feature...
This paper discusses the possibility of adopting the concept of knowledge based systems [KBS], in general, and conceptual maps, in particular, in email classification system. Needless to say that email has the potential to improve efficiency and reduce costs involved in communication. Even after the advent of newer technologies such as instant messaging and VoIP, email remains the top most application...
A global frame of secure instant messaging system based on Microsoft MSN is proposed to solve the security problems that exist in instant messaging. A secure add-in is designed and integrated seamlessly into the MSN client utilizing interfaces of the MSN client. The identity based cryptography is introduced into the secure instant messaging field and thus a secure instant messaging key management...
Various public information interactive processes, such as email, Instant Messaging (IM), Short Message Service (SMS), contain lots of advertising, obscene, illegal, and other spam information. Most of such spam information is text. From the computational linguistics perspective, textual information from different sources can be processed in a similar way. So the processing models or systems are expected...
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