Skip to main content

LSEA-IOMT: On the Implementation of Lightweight Symmetric Encryption Algorithm for Internet of Medical Things (IoMT)

  • Conference paper
  • First Online:
Frontiers of ICT in Healthcare

Abstract

The Internet of Medical Things (IoMT) has made a monumental improvement in patient monitoring, early detection of diseases and treatment methods. This not only enriched the quality of living but also the healthcare cost and errors are minimized. This promising technology has greatly helped the patient and frontline healthcare workers. However, security and privacy breaches are one of the major concerns in IoMT due to wide variety of devices and communication network. The lack of security can affect a patient life since IoMT devices transmit patient data to a cloud-based medical server over insecure channel. Hence, maintaining the privacy and confidentiality becomes an utmost issue worth of further exploration and resolution. Cryptography is one of the primitive technologies which can ensure the confidentiality of a data; however, the complex solutions are not a good choice for resource-constrained IoMT device. Accordingly, we have designed a novel lightweight symmetric encryption algorithm (LSEA) for low-powered IoMT devices. Proposed algorithm uses 8-bit block ciphering technique using two 8-bit secret keys. Physiological parameter such as pulse rate of human body has been considered as one the secret keys while designing the algorithm. Security analysis shows that the algorithm is resilient to known plain text attack and known cipher text attack. LSEA has been tested in Arduino with varying payload. Experimental result depicts that it requires only 1.25 ms time for 16 byte and 7.4 ms for 512 byte data. Proposed algorithm has been compared to AES in a similar experimental environment.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
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. Girardi F, De Gennaro G, Colizzi L, Convertini N (2020) Improving the healthcare effectiveness: the possible role of EHR, IoMT and Blockchain. Electronics 9(6):884

    Google Scholar 

  2. Rubí JNS, Gondim PRL (2019) IoMT platform for pervasive healthcare data aggregation, processing, and sharing based on OneM2M and OpenEHR. Sensors 19(19):4283

    Google Scholar 

  3. Saif S, Jana M, Biswas S (2021) Recent trends in IoT–based smart healthcare applying ML and DL. In: Emerging technologies in data mining and information security, pp 785–797

    Google Scholar 

  4. Saif S, Saha R, Biswas S (2021) On development of MySignals based prototype for application in health vitals monitoring. Wirel Pers Commun, pp 1–18

    Google Scholar 

  5. Saif S, Biswas S (2019) Secure data transmission beyond tier 1 of medical body sensor network. In: Proceedings of international ethical hacking conference 2018. Springer, Singapore, pp 405–417

    Google Scholar 

  6. Saif S, Biswas S (2020) On the implementation and performance evaluation of security algorithms for healthcare. In: Proceedings of the 2nd international conference on communication, devices and computing. Springer, Singapore, pp 629–640

    Google Scholar 

  7. Jabeen T et al (2020) A lightweight genetic based algorithm for data security in wireless body area networks. IEEE Access 8:183460–183469

    Google Scholar 

  8. Alshamsi AZ, Barka ES, Serhani MA (2016) Lightweight encryption algorithm in wireless body area network for e-health monitoring. In: 2016 12th International conference on innovations in information technology (IIT). IEEE

    Google Scholar 

  9. Prakasam P et al (2021) An enhanced energy efficient lightweight cryptography method for various IoT devices. ICT Express

    Google Scholar 

  10. Hong D et al (2006) HIGHT: a new block cipher suitable for low-resource device. In: International workshop on cryptographic hardware and embedded systems. Springer, Berlin, Heidelberg

    Google Scholar 

  11. Lim CH, Korkishko T (2005) mCrypton–a lightweight block cipher for security of low-cost RFID tags and sensors. In: International workshop on information security applications. Springer, Berlin, Heidelberg

    Google Scholar 

  12. Wu W, Zhang L (2011) LBlock: a lightweight block cipher. In: International conference on applied cryptography and network security. Springer, Berlin, Heidelberg

    Google Scholar 

  13. Aboushosha, B et al (2020) SLIM: a lightweight block cipher for internet of health things. IEEE Access 8: 203747–203757

    Google Scholar 

  14. Usman M et al (2017) SIT: a lightweight encryption algorithm for secure internet of things. arXiv preprint arXiv:1704.08688

  15. Suzaki T et al (2011) Twine: a lightweight, versatile block cipher. In: ECRYPT workshop on lightweight cryptography. vol 2011

    Google Scholar 

  16. Beierle C et al (2016) The SKINNY family of block ciphers and its low-latency variant MANTIS. In: Annual international cryptology conference. Springer, Berlin, Heidelberg

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sohail Saif .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Saif, S., Das, P., Biswas, S. (2023). LSEA-IOMT: On the Implementation of Lightweight Symmetric Encryption Algorithm for Internet of Medical Things (IoMT). In: Mandal, J.K., De, D. (eds) Frontiers of ICT in Healthcare . Lecture Notes in Networks and Systems, vol 519. Springer, Singapore. https://doi.org/10.1007/978-981-19-5191-6_45

Download citation

Publish with us

Policies and ethics