Framework for surveillance of instant messages in instant messengers and social neworking sites using data mining and ontology

@article{Ali2014FrameworkFS,
  title={Framework for surveillance of instant messages in instant messengers and social neworking sites using data mining and ontology},
  author={M. M. Ali and Khaja Moizuddin Mohammed and L. Rajamani},
  journal={Proceedings of the 2014 IEEE Students' Technology Symposium},
  year={2014},
  pages={297-302}
}
Innumerable terror and suspicious messages are sent through Instant Messengers (IM) and Social Networking Sites (SNS) which are untraced, leading to hindrance for network communications and cyber security. We propose a Framework that discover and predict such messages that are sent using IM or SNS like Facebook, Twitter, LinkedIn, and others. Further, these instant messages are put under surveillance that identifies the type of suspected cyber threat activity by culprit along with their… Expand
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