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Data Mining Techniques to Facilitate Digital Forensics Investigations

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Advances in Computer Science and Ubiquitous Computing (UCAWSN 2016, CUTE 2016, CSA 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 421))

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Abstract

Digital forensics is an essential discipline for both law enforcement agencies and businesses. It makes possible to investigate electronic related crimes aka cybercrime such as fraud, industrial espionage and computer misuse. However, encryption, anti-forensic tools and the ever increasing amount of volume of data to analyse creates a wide range of challenges to overcome. Fortunately, other computer fields can be applied to overcome those challenges. This paper will explore some data mining techniques to address most common issues in Digital Forensics.

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Acknowledgement

This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-H8601-16-1009) supervised by the IITP(Institute for Information & communications Technology Promotion).

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, 139-743, Republic of Korea

    Erik Miranda Lopez & Jong Hyuk Park

  2. Department of Division of Computer and Media, Mokwon University, Daejeon, 35349, Republic of Korea

    Yoon Ho Kim

Authors
  1. Erik Miranda Lopez
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  2. Yoon Ho Kim
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  3. Jong Hyuk Park
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Corresponding author

Correspondence to Jong Hyuk Park .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. (Jong Hyuk) Park

  2. Department of Computer Science, Georgia State University, Atlanta, Georgia, USA

    Yi Pan

  3. Computer Science and Engineering, Gangneung-Wonju National University, Wonju, Korea (Republic of)

    Gangman Yi

  4. University Salerno, Fisciano, Italy

    Vincenzo Loia

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© 2017 Springer Nature Singapore Pte Ltd.

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Miranda Lopez, E., Kim, Y.H., Park, J.H. (2017). Data Mining Techniques to Facilitate Digital Forensics Investigations. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_58

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  • DOI: https://doi.org/10.1007/978-981-10-3023-9_58

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3022-2

  • Online ISBN: 978-981-10-3023-9

  • eBook Packages: EngineeringEngineering (R0)

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