Enhancing Compromised Account Detection in online social Networking Using Fuzzy Classification and Baum Welch Algorithm

Registration ID: IJNRD_170044

Published ID: IJNRD1705025

DOI: Click Here to Get

Darshana Chaudhari , sayali revade , Yogita Sonje , Yogita Jagtap , Jyoti Deshmukh

OSNs, behavior,compromised accounts detection,classification

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.

Published Paper   E-Certificate

Darshana Chaudhari, sayali revade, Yogita Sonje, Yogita Jagtap, & Jyoti Deshmukh (May-2017). Enhancing Compromised Account Detection in online social Networking Using Fuzzy Classification and Baum Welch Algorithm. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 2(5), 115-119. https://ijnrd.org/papers/IJNRD1705025.pdf

Volume 2 Issue 5, May-2017

Pages : 115-119

Paper Reg. ID: IJNRD_170044

Published Paper Id: IJNRD1705025

Downloads: 000121986

Research Area: Engineering

Country: pune, maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD1705025.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1705025

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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