On the Development of Automated Forensic Analysis Methods for Mobile Devices | SpringerLink
Skip to main content
Springer Nature Link
Log in

On the Development of Automated Forensic Analysis Methods for Mobile Devices

  • Conference paper
Trust and Trustworthy Computing (Trust 2014)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 8564))

Included in the following conference series:

  • 1199 Accesses

Abstract

We live in a connected world where mobile devices are used by humans as valuable tools. The use of mobile devices leaves traces that can be treasured assets for a forensic analyst. Our aim is to investigate methods and exercise techniques that will merge all these valuable information in a way that will be efficient for a forensic analyst, producing graphical representations of the underlying data structures. We are using a framework able to collect and merge data from various sources and employ algorithms from a wide range of interdisciplinary areas to automate post-incident forensic analysis on mobile devices.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5491
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 6864
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Andriotis, P., Oikonomou, G., Tryfonas, T.: Forensic Analysis of Wireless Networking Evidence of Android Smartphones. In: WIFS, pp. 109–114 (2012)

    Google Scholar 

  2. Andriotis, P., Oikonomou, G., Tryfonas, T.: JPEG Steganography Detection with Benford’s Law. Digital Investigation 9(3), 246–257 (2013)

    Article  Google Scholar 

  3. Andriotis, P., Tzermias, Z., Mparmpaki, A., Ioannidis, S., Oikonomou, G.: Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data. IJDCF 5(4), 34–54 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Bristol, MVB, Woodland Road, Clifton, Bristol, BS8 1UB, UK

    Panagiotis Andriotis, Theo Tryfonas, George Oikonomou & Shancang Li

  2. FORTH-Institute of Computer Science, N. Plastira 100, 70013, Heraklion, Greece

    Zacharias Tzermias

  3. University of South Wales, Pontypridd, Wales, CF37 1DL, UK

    Konstantinos Xynos & Huw Read

  4. Technical University, Hans-Sommer-Street 66, 38106, Braunschweig, Germany

    Vassilis Prevelakis

Authors
  1. Panagiotis Andriotis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Theo Tryfonas
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. George Oikonomou
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shancang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zacharias Tzermias
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Konstantinos Xynos
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Huw Read
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Vassilis Prevelakis
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Chair for Systems Security, Ruhr-University Bochum, Universitätsstr. 150, ID 2/439, 44780, Bochum, Germany

    Thorsten Holz

  2. Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), Greece

    Sotiris Ioannidis

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Andriotis, P. et al. (2014). On the Development of Automated Forensic Analysis Methods for Mobile Devices. In: Holz, T., Ioannidis, S. (eds) Trust and Trustworthy Computing. Trust 2014. Lecture Notes in Computer Science, vol 8564. Springer, Cham. https://doi.org/10.1007/978-3-319-08593-7_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-08593-7_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08592-0

  • Online ISBN: 978-3-319-08593-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation