Modified Rijndael Algorithm for Resource-Constrained IoT-Based Wireless Sensor Networks

IoT-Based Wireless Sensor Networks

Authors

  • Mohammad Sirajuddin Jawaharlal Nehru Technological University image/svg+xml
  • Dr. B. Sateesh Kumar Jawaharlal Nehru Technological University, Hyderabad image/svg+xml

DOI:

https://doi.org/10.4108/eetsis.2748

Keywords:

modified rijndael algorithm, lightweight cryptography, IoT security, MRA

Abstract

INTRODUCTION: IoT devices are small, have limited battery and computing capabilities, and cannot tolerate complex encryption.

OBJECTIVES: Many encryption algorithms struggle to strike a balance between security and complexity. Increasing the level of security necessitates increasing complexity, which leads to higher encryption and decryption times. This research aims to provide a novel encryption method, Modified Rijndael Algorithm that balances security and complexity.

METHODS: The classic Rijndael encryption technique has been modified to make it lighter and more secure, suitable for resource-constrained IoT devices.

RESULTS: These modifications include adding the novel pre-processing step SISA-Crossover based on the two-point crossover operation of genetic algorithms, removing the Sub Byte step, changing the shift column phase, and decreasing the rounds.

CONCLUSION: The proposed technique provides speed and higher security in encryption and decryption, increasing efficiency and randomness while reducing encryption and decryption times by 21.06% and CPU consumption by 13.2% compared to the traditional method.

References

Harn L, Hsu CF, Xia Z, He Z. Lightweight Aggregated Data Encryption for Wireless Sensor Networks (WSNs). IEEE Sensors Letters. 2021 Mar 3;5(4):1-4.

Abdul Hussien FT, Rahma AM, Abdul Wahab HB. A secure environment using a new lightweight AES encryption algorithm for e-commerce websites. Security and Communication Networks. 2021 Dec 24;2021.

Sirajuddin M, Kumar BS. Efficient and Secured Route Management Scheme Against Security Attacks in Wireless Sensor Networks. In 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC) 2021 Aug 4 (pp. 1045-1051). IEEE.

Krivtsov V, Birkinshaw S, Olive V, Lomax J, Christie D, Arthur S. Multiple benefits of blue-green infrastructure and the reduction of environmental risks: Case study of ecosystem services provided by a suds pond. InCivil Engineering for Disaster Risk Reduction 2022 (pp. 247-262). Springer, Singapore.

Fadhil MS, Farhan AK, Fadhil MN. A lightweight AES Algorithm Implementation for Secure IoT Environment. Iraqi Journal of Science. 2021 Aug 31:2759-70.

Tsai KL, Huang YL, Leu FY, You I, Huang YL, Tsai CH. AES-128 based secure low power communication for LoRaWAN IoT environments. IEEE Access. 2018 Jul 5;6:45325-34.

Bedoui M, Mestiri H, Bouallegue B, Hamdi B, Machhout M. An improvement of both security and reliability for AES implementations. Journal of King Saud University-Computer and Information Sciences. 2022 Jan 13.

Alshammari BM, Guesmi R, Guesmi T, Alsaif H, Alzamil A. Implementing a symmetric lightweight cryptosystem in highly constrained IoT devices by using a chaotic S-box. Symmetry. 2021 Jan 13;13(1):129.

Fadhil MS, Farhan AK, Fadhil MN, Al-Saidi NM. A New Lightweight AES Using a Combination of Chaotic Systems. In2020 1st. Information Technology To Enhance e-learning and Other Application (IT-ELA 2020 Jul 12 (pp. 82-88). IEEE.

Kumar K, Ramkumar KR, Kaur A. A lightweight AES algorithm implementation for encrypting voice messages using field programmable gate arrays. Journal of King Saud University-Computer and Information Sciences. 2020 Aug 15.

Rahman Z, Yi X, Billah M, Sumi M, Anwar A. Enhancing AES Using Chaos and Logistic Map-Based Key Generation Technique for Securing IoT-Based Smart Home. Electronics. 2022 Mar 30;11(7):1083.

Shanthi Rekha S, Saravanan P. Low-cost AES-128 implementation for edge devices in IoT applications. Journal of Circuits, Systems and Computers. 2019 Apr 26;28(04):1950062.

Shanthi Rekha S, Saravanan P. Low-cost AES-128 implementation for edge devices in IoT applications. Journal of Circuits, Systems and Computers. 2019 Apr 26;28(04):1950062.

Chowdhury AR, Mahmud J, Kamal AR, Hamid MA. MAES: Modified advanced encryption standard for resource constraint environments. In2018 IEEE Sensors Applications Symposium (SAS) 2018 Mar 12 (pp. 1-6). IEEE.

Yustiarini BY, Dewanta F, Nuha HH. A Comparative Method for Securing Internet of Things (IoT) Devices: AES vs Simon-Speck Encryptions. In2022 1st International Conference on Information System & Information Technology (ICISIT) 2022 Jul 27 (pp. 392-396). IEEE.

Hammod DN. Modified Lightweight AES based on Replacement Table and Chaotic System. In2022 International Congress on Human-Computer Interaction, Optimisation and Robotic Applications (HORA) 2022 Jun 9 (pp. 1-5). IEEE.

Kim Y, Seo SC. Efficient Implementation of AES and CTR_DRBG on 8-bit AVR-based Sensor Nodes. IEEE Access. 2021 Feb 16;9:30496-510.

Tang C, Cheng Y, Yin J. An Optimized Algorithm of Grid Calibration in WSN Node Deployment Based on the Energy Consumption Distribution Model. JOURNAL OF INFORMATION &COMPUTATIONAL SCIENCE. 2012;9(4):1035-42

Aslan B, Yavuzer Aslan F, Sakallı MT. Energy Consumption Analysis of Lightweight Cryptographic Algorithms That Can Be Used in the Security of Internet of Things Applications. Security and Communication Networks. 2020 Nov 21;2020.

Assafli HT, Hashim IA. Security Enhancement of AES-CBC and its Performance Evaluation Using the Avalanche Effect. In2020 3rd International Conference on Engineering Technology and its Applications (IICETA) 2020 Sep 6 (pp. 7-11). IEEE.

Salman RS, Farhan AK, Shakir A. Lightweight Modifications in the Advanced Encryption Standard (AES) for IoT Applications: A Comparative Survey. In2022 International Conference on Computer Science and Software Engineering (CSASE) 2022 Mar 15 (pp. 325-330). IEEE.

Tang C, Yin J. A localization algorithm of weighted maximum likelihood estimation for wireless sensor network. Journal of Information &Computational Science. 2011 Dec;8(16):4293-300.

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Published

07-08-2023

How to Cite

1.
Sirajuddin M, Kumar DBS. Modified Rijndael Algorithm for Resource-Constrained IoT-Based Wireless Sensor Networks: IoT-Based Wireless Sensor Networks. EAI Endorsed Scal Inf Syst [Internet]. 2023 Aug. 7 [cited 2024 May 5];10(5). Available from: https://publications.eai.eu/index.php/sis/article/view/2748