IDENTIFICATION AND MANAGEMENT OF SESSIONS GENERATED BY INSTANT MESSAGING AND PEER-TO-PEER SYSTEMS

• DOI: 10.1142/s0218843008001750
• Publication Date: 2008-02-27T09:35:11Z
• Authors: ZHONGQIANG CHEN; ALEX DELIS; PETER WEI
• Keywords: Encapsulation; Transport Layer Security; BitTorrent; Identification

Sessions generated by Instant Messaging and Peer-to-Peer systems (IM/P2Ps) not only consume considerable bandwidth computing resources but also dramatically change the characteristics of data flows affecting both operation performance networks. Most IM/P2Ps have known security loopholes vulnerabilities making them an ideal platform for dissemination viruses, worms, other malware. The lack access control weak authentication on shared further exacerbates situation. Should be deployed in production environments, conventional applications may significantly deteriorate enterprise contaminated. It is therefore imperative to identify, monitor finally manage IM/P2P traffic. Unfortunately, this task cannot easily attained as resort advanced techniques hide their traces including multiple channels deliver services, port hopping, message encapsulation encryption. In paper, we propose extensible framework that helps identify classify IM/P2P-generated sessions real time assists manipulation such Consisting four modules namely, session manager, traffic assembler, dissector, arbitrator, our proposed uses improve its classification accuracy performance. Through fine-tuned splay interval trees help organize packets streams, accomplish stateful inspection, re-assembly, stream correlation, application layer analysis combined will boost framework's identification precision. More importantly, introduce "plug-and-play" protocol analyzers inspect streams according syntax semantics; these render extensible. Identified can shaped, blocked, or disconnected, corresponding stored forensic threat evaluation. Experiments with prototype show high detection rates under diverse settings excellent overall controlled real-world environments.