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Computational Intelligence in Digital Forensics: Forensic Investigation and Applications pp 17–46Cite as

Digital Forensics 2.0

A Review on Social Networks Forensics

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 555))

Abstract

Nowadays, Social Networks (SNs) are penetrating into all areas of human life including relationships, shopping, education and so on and this growing expansion is inevitable. In addition to their invaluable benefits, due to the plethora of confidential private/corporate information in SNs, these places become the potential target for criminal/illegal activities such as identity theft, fraud, organized crimes and even terrorist attacks. To cope with such issues, it is useful to incorporate social network forensics (SNF) techniques for analyzing and surveying social interactions to detect, predict and prevent all forms of potential criminal activities. This chapter is organized in two main parts. First, SNs, their security and privacy issues are introduced and analyzed. Then, as a reference point for future studies in the field, forensics methods within SNs are explained and classified; then the related literature is reviewed.

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Authors and Affiliations

  1. Department of Computer Engineering, Alzahra University, Vanak, Tehran, Iran

    MohammadReza Keyvanpour

  2. Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

    Mohammad Moradi

  3. Department of Software Engineering and Artificial Intelligence, Science and Research Branch, Islamic Azad University, Qazvin, Iran

    Faranak Hasanzadeh

Authors
  1. MohammadReza Keyvanpour
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  2. Mohammad Moradi
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  3. Faranak Hasanzadeh
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Correspondence to MohammadReza Keyvanpour .

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Editors and Affiliations

  1. Department of Software Engineering Faculty of Information and, Technical University of Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Azah Kamilah Muda

  2. Department of Software Engineering Faculty of Info. and Comm. Tech., Technical University of Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Yun-Huoy Choo

  3. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, Washington, USA

    Ajith Abraham

  4. Dept. of Computer Sci. and Engineering Center of Excellence for Document, The State University of New York SUNY, Buffalo, New York, USA

    Sargur N. Srihari

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© 2014 Springer International Publishing Switzerland

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Keyvanpour, M., Moradi, M., Hasanzadeh, F. (2014). Digital Forensics 2.0. In: Muda, A., Choo, YH., Abraham, A., N. Srihari, S. (eds) Computational Intelligence in Digital Forensics: Forensic Investigation and Applications. Studies in Computational Intelligence, vol 555. Springer, Cham. https://doi.org/10.1007/978-3-319-05885-6_2

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  • DOI: https://doi.org/10.1007/978-3-319-05885-6_2

  • Publisher Name: Springer, Cham

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