An Intelligent Multimedia Traffic Classifier with Security Applications
نویسندگان
چکیده
The volume of multimedia traffic transmitted over the Internet has increased significantly over the past few years. As a result, the need to analyze and classify multimedia traffic has become more acute. Conventional packetor header-based analysis has limitations; a deeper understanding of the actual multimedia content may be necessary. This paper presents a machine learning-based multimedia traffic classification solution that performs content analysis on video sequences with potential applications in security. Experimental results show that the proposed solution can classify video sequences as suspicious based on inspection of their visual content.
منابع مشابه
Design of a multimedia traffic classifier for Snort
Purpose – The purpose is to enhance the capabilities of a general-purpose IDS solution with additional knowledge of multimedia file formats and protocols, to better handle multimedia-specific security exploits. Design/methodology/approach – The authors have designed a multimedia traffic classifier, implemented as an optional preprocessor for Snort. The solution has been successfully tested with...
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