期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：2
页码：912-915
语种：English
出版社：Ayushmaan Technologies
摘要：The sheer size of e-mail and instant messages received on daily basis by clients using mobile applications has created a usage scenario where users have to be conscious of their safety and manage information effectively in order to derive benefits from online interaction. This is more so in organizations where e-mails and instant messages are frequently used as a means of communication through anonymous peer-to-peer systems (P2P). Using Use-Case schemes, we present a framework for profiling user behaviour on anonymous peer to peer networks. The framework presented is suggestive of employing data mining techniques to analyze entire sets of active and offline e-mails and instant messages sent and received by individual users. The implementation of this framework is expected to yield a recommender system for prioritizing e-mails and instant messages based on usage patterns between contacts and groups to which users belong.
