Skip to main content
SpringerLink
Log in

Digital Forensics: Essential Competencies of Cyber-Forensics Practitioners

  • Conference paper
  • First Online:
Advances in Machine Learning and Computational Intelligence

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

Technical advancement expands the usage of digital devices in today’s society. As the usage increases, the amount of cyber-crime related to data leakage also substantially increases. To deal with these cyber-crime-related activities, a crucial need of skilled cyber-forensics practitioners is essential. Cyber-forensics practitioners should equip with varied forensics frameworks to meet the technological enhancement in today’s society. This work discusses the various essential competencies required for the practitioners to prepare themselves for forensic investigation. Actually, the experts are expected to be well versed in investigation approach using various resources like computer, IoT, cloud, mobile, etc., and various commercial and open-source forensics tools. An investigation approach is taken up here to measure the effectiveness of a forensics practitioner in targeting the challenges in a forensics laboratory using multi-agent.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. www.forensicsware.com

  2. https://www.oxygen-forensic.com/en/

  3. encase - https://www.guidancesoftware.com/

  4. XRY - https://www.msab.com/

  5. https://www.cellebrite.com/en/home/

  6. wireshark - https://resources.infosecinstitute.com/wireshark-open-source-forensic-tool/#gref

  7. Hexeditor: https://www.hhdsoftware.com/free-hex-editor

  8. FTK: https://accessdata.com/product-download

  9. Sleuthkit: https://www.sleuthkit.org/sleuthkit/download.php

  10. H. Zhang, L. Chen, Q. Liu, Digital Forensic Analysis of Instant Messaging Applications on Android Smartphones, in International Conference on Computing, Networking and Communications (2018), pp. 647–651

    Google Scholar 

  11. C. Anglano, M. Canonico, M. Guazzone, Forensic analysis of telegram messenger on android smartphones. Digital Invest. 23, 31–49 (2017)

    Google Scholar 

  12. L. Zhang, F. Yu, Q. Ji, The Forensic Analysis of WeChat Message. In 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC) (2016), pp. 500–503

    Google Scholar 

  13. A.H. Lone, F.A. Badroo, K.R. Chudhary, A. Khalique, Implementation of forensic analysis procedures for WhatsApp and Viber android applications. Int. J. Comput. Appl. 128(12), 26–33 (2015)

    Google Scholar 

  14. C. Anglano, M. Canonico, M. Guazzone, Forensic analysis of the chat secure instant messaging application on android smartphones. Digital Invest. 19, 44–59 (2016)

    Google Scholar 

  15. M. Chernyshev, S. Zeadally, Z. Baig, A. Woodward, Mobile forensics: advances, challenges, and research opportunities. IEEE Secur. Priv. 15(6), 42–51 (2017)

    Article  Google Scholar 

  16. P. Feng, Q. Li, P. Zhang, Z. Chen, Logical acquisition method based on data migration for android mobile devices. Digital Invest. 26, 55–62 (2018)

    Article  Google Scholar 

  17. D. Quick, K.K.R. Choo, Digital forensic intelligence: data subsets and open source intelligence (DFINT + OSINT): a timely and cohesive mix. Fut. Gener. Comput. Syst. 78, 558–567 (2018)

    Article  Google Scholar 

  18. D. Quick, K.K.R. Choo, Pervasive social networking forensics: intelligence and evidence from mobile device extracts. J. Network Comput. Appl. 86, 24–33 (2017)

    Article  Google Scholar 

  19. A. Case, G.G. Richard III, Memory forensics: the path forward. Digital Invest. 20, 23–33 (2017)

    Article  Google Scholar 

  20. E. Casey, S. Barnum, R. Griffith, J. Snyder, H. van Beek, A. Nelson, Advancing coordinated cyber-investigations and tool interoperability using a community developed specification language. Digital Invest. 22, 14–45 (2017)

    Article  Google Scholar 

  21. Y. Cheng, X. Fu, X. Du, B. Luo, M. Guizani, A lightweight live memory forensic approach based on hardware virtualization. Inf. Sci. 379, 23–41 (2017)

    Article  Google Scholar 

  22. C. Rajchada, V. Wantanee, R.C. Kim-Kwang, Forensic analysis and security assessment of Android m-banking apps. Austr. J. Forens. Sci. 50(1), 3–19 (2018)

    Article  Google Scholar 

  23. Y. Ibrar, I.A.T. Hashem, A. Ahmed, S.M. Ahsan Kazmi, C.S. Hong, Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges. Fut. Gener. Comput. Syst. 92, 265–275 (2019)

    Google Scholar 

  24. C.-T. Huang, H.-J. Ko, Z.-W. Zhuang, P.-C. Shih, S.-J. Wang, Mobile Forensics for Cloud Storage Service on iOS Systems, In ISITA2018, Singapore, 28–31 Oct 2018

    Google Scholar 

  25. http://www.emailtrackerpro.com/

  26. https://www.aid4mail.com/ediscovery-forensics-trial

  27. https://www.datamystic.com/abusepipe

  28. http://finalemail.findmysoft.com/

  29. http://www.plainsight.info/

  30. http://arsenalrecon.com/apps/recon/

  31. http://code.google.com/p/volatility/

  32. http://digitalcorpora.org/downloads/bulk_extractor/

  33. http://prodiscover-basic.freedownloadscenter.com/windows/

  34. https://www.mobiledit.com/forensic-solutions

  35. C. Arumugam, S. Kameswaran, B. Kaliamourthy, Risk assessment framework: ADRIM process model for global software development, in Towards Extensible and Adaptable Methods in Computing, ed. by S. Chakraverty, A. Goel, S. Misra (Springer, Singapore, 2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, SSN College of Engineering, Kalavakkam, Chennai, Tamil Nadu, India

    Chamundeswari Arumugam & Saraswathi Shunmuganathan

Authors
  1. Chamundeswari Arumugam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Saraswathi Shunmuganathan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chamundeswari Arumugam .

Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  2. Simulation and Modelling, School of Science and Technology, Middlesex University, London, UK

    Xin-She Yang

  3. Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA

    Ishwar K. Sethi

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Arumugam, C., Shunmuganathan, S. (2021). Digital Forensics: Essential Competencies of Cyber-Forensics Practitioners. In: Patnaik, S., Yang, XS., Sethi, I. (eds) Advances in Machine Learning and Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-5243-4_81

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-5243-4_81

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5242-7

  • Online ISBN: 978-981-15-5243-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation