Machine Learning Based Intrusion Detection System for Social Network of Europe
Article No.: 13, Pages 1 - 6
Abstract
In modern age1, people have become dependent on social networking for communication for both in personal life and in corporate life. There are different types of users of social network, some users use social network for different good purposes like educational, entertainment, exchanging information, etc. Some users are using social network as a platform to exchange information for doing harmful work to the society. As some communications are useful and some are harmful, it's very important to analyze this traffic and to identify the harmful communication for the benefit of the country. Developing analysis model for identification of harmful communication of social network is a challenging area for computer science researchers. In the research proposal, Intrusion Detection System (IDS) is designed which should be installed in the gateways. The proposed research has four tier architectures for IDS.
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- CNRS: Centre National De La Rechercue Scientifique
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Association for Computing Machinery
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Published: 13 November 2017
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AWICT 2017
AWICT 2017: Second International Conference on Advanced Wireless Information, Data, and Communication Technologies
November 13 - 14, 2017
Paris, France
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