INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Due to happening of malicious spam over the compromised accounts of online social network users. To overcome this problem some system needs to detect the compromised accounts of online social network users in early stages, for this purpose there are different methodologies are used. We study the social behavior of online social network users, captures the users behavior, users activity. Many system related to Characterizing User Behavior in Online Social Networks are having performance issues regarding compromised account detection. To enhance the process of compromised account detection in online social networking sites proposed system put forwards an idea of gathering all social networking behavior features that include extroversive posting and introversive browsing activity of the users, which is used by the process of Baum_ Welch Methodology to identify the hidden state of compromised account detection for early detection of account compromization and this is catalyzed by the process of Fuzzy C- means Clustering technique.
"Enhancing Compromised Account Detection in online social Networking Using Fuzzy Classification and Baum Welch Algorithm", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.2, Issue 5, page no.115-119, May-2017, Available :http://www.ijnrd.org/papers/IJNRD1705025.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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