Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/962
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dc.contributor.authorYapa, K.-
dc.contributor.authorUdara, S.W.I.-
dc.contributor.authorWijayawardane, U.P.B.-
dc.contributor.authorKularatne, K.N.P.-
dc.contributor.authorNavaratne, N.M.P.P.-
dc.contributor.authorDharmaphriya, W.G.V.U-
dc.date.accessioned2022-02-07T06:39:46Z-
dc.date.available2022-02-07T06:39:46Z-
dc.date.issued2021-12-09-
dc.identifier.issn978-1-6654-0862-2/21-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/962-
dc.description.abstractSocial media is one of the most predominantly used online platforms by individuals across the world. However, very few of these social media users are educated about the adverse effects of obliviously using social media. Therefore, this research project, is to develop an advisory system for the benefit of the general public who are victimized by the adverse impacts of their ignorant and oblivious behavior on social media. The system was implemented using a decision tree model with the use of customized datasets; and for the proceeding operational implementations, Python programming language, Pandas, Natural Language Processing and TensorFlow were used. This advisory system can monitor user behaviors and generate customized awareness reports for the users based on category and level of their behaviors on social media. Furthermore, the system is also capable of generating graph reports of the use behavior fluctuations for the reference of the user. With the help of these customized awareness reports and the graph reports, the users can identify their potential vulnerabilities and improve their social media habits.en_US
dc.description.sponsorshipCo-Sponsor:Institute of Electrical and Electronic Engineers (IEEE) Academic sponsor:SLIIT UNI Gold Sponsor :London Stock Exchange Group (LSEG)en_US
dc.language.isoenen_US
dc.publisher2021 3rd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.subjectAwareness Reporten_US
dc.subjectCyber-Crimesen_US
dc.subjectGraph Reporten_US
dc.subjectNatural Language Processingen_US
dc.subjectSocial Engineeringen_US
dc.subjectSocial Mediaen_US
dc.titleAI Based Monitoring System for Social Engineeringen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC54203.2021.9671218en_US
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Department of Computer systems Engineering-Scopes

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