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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD)
An International Open Access Journal |   ISSN: 2456-4184 |  IMPACT FACTOR: 5.57

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Paper Title: Enhancing Compromised Account Detection in online social Networking Using Fuzzy Classification and Baum Welch Algorithm
Authors Name: Darshana Chaudhari , sayali revade , Yogita Sonje , Yogita Jagtap , Jyoti Deshmukh
Author Reg. ID:
IJNRD_170044
Published Paper Id: IJNRD1705025
Published In: Volume 2 Issue 5, May-2017
Abstract: 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.
Keywords: OSNs, behavior,compromised accounts detection,classification
Cite Article: "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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