Skip to main content
SpringerLink
Log in

Reliable Framework for Digital Forensics in Medical Internet of Things

  • Conference paper
  • First Online:
Advances in Computational Collective Intelligence (ICCCI 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1864))

Included in the following conference series:

  • 412 Accesses

Abstract

Medical Internet of Things (MIoT) involves the use of connected devices and sensors. These devices can include wearable health monitors, smart medical devices, implantable sensors, and remote monitoring systems. These devices can collect a wide range of data, including vital signs, medication adherence, and activity levels, which can be used to diagnose and treat medical conditions remotely and make informed decisions based on real-time information. With the increasing use of medical Internet of Things (MIoT) devices, such as wearable health monitors and implantable medical devices, digital forensics has become a critical component of healthcare security. Digital forensics for medical IoT involves the use of specialized tools and techniques to investigate any suspected security breaches or incidents involving these devices. The main goal of this paper is to provide a reliable blockchain-based digital forensic framework in MIoT.

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 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • 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

References

  1. Bhatele, K.R., Jain, S., Kataria, A., Jain, P.: The fundamentals of digital forensics (2020)

    Google Scholar 

  2. Elhoseny, M., et al.: Security and privacy issues in medical internet of things: overview, countermeasures, challenges and future directions. Sustainability 13(21), 11645 (2021)

    Article  Google Scholar 

  3. Grispos, G., Bastola, K.: Cyber autopsies: the integration of digital forensics into medical contexts. In: 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), pp. 510–513 (2020). https://doi.org/10.1109/CBMS49503.2020.00102

  4. Jahankhani, H., Ibarra, J.: Digital forensic investigation for the internet of medical things (IoMT). Forensic Leg. Investig. Sci. 5 (2019)

    Google Scholar 

  5. Harbawi, M., Varol, A.: An improved digital evidence acquisition model for the internet of things forensic I: a theoretical framework. In: 2017 5th International Symposium on Digital Forensic and Security (ISDFS), pp. 1–6 (2017). https://doi.org/10.1109/ISDFS.2017.7916508

  6. Lutta, P., Sedky, M., Hassan, M., Jayawickrama, U., Bakhtiari Bastaki, B.: The complexity of internet of things forensics: a state-of-the-art review. Forensic Sci. Int. Digit. Invest. 38, 301210 (2021). https://doi.org/10.1016/j.fsidi.2021.301210. https://www.sciencedirect.com/science/article/pii/S2666281721001189

  7. Perwej, Y., Akhtar, N., Kulshrestha, N., Mishra, P.: A methodical analysis of medical internet of things (MIoT) security and privacy in current and future trends. J. Emerg. Technol. Innov. Res. 9(1), d346–d371 (2022)

    Google Scholar 

  8. Rahmany, I., Dhahri, N., Moulahi, T., Alabdulatif, A.: Optimized stacked auto-encoder for unnecessary data reduction in cloud of things. In: 2022 International Wireless Communications and Mobile Computing (IWCMC), pp. 110–115 (2022). https://doi.org/10.1109/IWCMC55113.2022.9825372

  9. Rahmany, I., Mahfoudhi, S., Freihat, M., Moulahi, T.: Missing data recovery in the e-health context based on machine learning models. Adv. Artif. Intell. Mach. Learn. 2(4), 516–532 (2022). https://doi.org/10.54364/aaiml.2022.1135

    Article  Google Scholar 

  10. Ruan, K., Carthy, J., Kechadi, T., Crosbie, M.: Cloud forensics. In: Peterson, G., Shenoi, S. (eds.) DigitalForensics 2011. IAICT, vol. 361, pp. 35–46. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24212-0_3

    Chapter  Google Scholar 

  11. Shaaban, A., Abdelbaki, N.: Comparison study of digital forensics analysis techniques; findings versus resources. Procedia Comput. Sci. 141, 545–551 (2018)

    Article  Google Scholar 

  12. Yaqoob, I., Hashem, I.A.T., Ahmed, A., Kazmi, S.A., Hong, C.S.: Internet of things forensics: recent advances, taxonomy, requirements, and open challenges. Future Gener. Comput. Syst. 92, 265–275 (2019). https://doi.org/10.1016/j.future.2018.09.058. https://www.sciencedirect.com/science/article/pii/S0167739X18315644

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, FST Sidi Bouzid, University of Kairouan, Sidi Bouzid, Tunisia

    Ines Rahmany & Rihab Saidi

  2. Department of Information Technology, College of Computer, Qassim University, Buraydah, 52571, Saudi Arabia

    Tarek Moulahi

  3. Department of Management Information Systems and Production Management, College of Business and Economics, Qassim University, Buraydah, 52571, Saudi Arabia

    Mutiq Almutiq

Authors
  1. Ines Rahmany
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rihab Saidi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tarek Moulahi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mutiq Almutiq
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ines Rahmany .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Eötvös Loránd University, Budapest, Hungary

    János Botzheim

  3. Eötvös Loránd University, Budapest, Hungary

    László Gulyás

  4. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Nunez

  5. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  6. University of Münster, Münster, Germany

    Gottfried Vossen

  7. Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rahmany, I., Saidi, R., Moulahi, T., Almutiq, M. (2023). Reliable Framework for Digital Forensics in Medical Internet of Things. In: Nguyen, N.T., et al. Advances in Computational Collective Intelligence. ICCCI 2023. Communications in Computer and Information Science, vol 1864. Springer, Cham. https://doi.org/10.1007/978-3-031-41774-0_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-41774-0_37

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-41773-3

  • Online ISBN: 978-3-031-41774-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation