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Forensic Analysis of Social Media Apps
B. Manjula Josephine1, K. V. Raja Shekar2, G. Meghana3, K.V.S.N Rama Rao4, Ch. Rajesh5

1B.Manjula Josephine, Assitant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
2K.V. Raja Shekar, Student in the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
3G. Meghana, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
4K.V.S.N Rama Rao Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, ,Aziz Nagar, Hyderabad, India.
5Ch. Rajesh Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.

Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 2302-2305 | Volume-9 Issue-1, November 2019. | Retrieval Number: A5205119119/2019©BEIESP | DOI: 10.35940/ijitee.A5205.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Social networks in any form, specifically online social networks (OSNs), are becoming a part of our everyday life in this new kind of millennium especially with the advanced and simple communication technologies through easily accessible devices such as smartphones and laptops and desktops. The data generated through the use of these technologies need to be analyzed for forensic purposes when criminal and terrorist activities are involved. And is useful to analyze and come to an understanding about their further intentions. In order to deal with the forensic implications of social networks, current research on both digital forensics and social networks need to be incorporated and understood. In this paper we are conducting forensic analysis on different networking sites such as Twitter, Skype, and WhatsApp on famous search engine called Firefox.
Keywords: Artifacts, Decryption, Encryption, Skype, Twitter, WhatsApp.
Scope of the Article: Big Data Analytics for Social Networking using IoT