Lightweight Cryptography Algorithm for Secure Data Transmission in IoT Applications
By: K Kumar and K Sasikala
References
- Ru, Y., Blankespoor, B., Wood-Sichra, U., Thomas, T. S., You, L., & Kalvelagen, E. (2023). Estimating local agricultural gross domestic product (AgGDP) across the world. Earth System Science Data, 15(3), 1357–1387.
- Prakash, Chander, et al. “Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation.” Sensors and Actuators A: Physical (2023): 114605.
- Zhang, Qingqing, Yanbo Qu, and Lingyun Zhan. “Great transition and new pattern: Agriculture and rural area green development and its coordinated relationship with economic growth in China.” Journal of Environmental Management 344 (2023): 118563.
- Pathmudi, Vivek Ramakant, et al. “A systematic review of IoT technologies and their constituents for smart and sustainable agriculture applications.” Scientific African (2023): e01577.
- Morchid, A., El Alami, R., Raezah, A. A., & Sabbar, Y. (2023). Applications of internet of things (IoT) and sensor technology to increase food security and agricultural Sustainability: Benefits and challenges. Ain Shams Engineering Journal, 102509.
- Sathiya, S., Cecil Antony, and Praveen Kumar Ghodke. “Smart Agriculture: Emerging and Future Farming Technologies.” Recent Trends and Best Practices in Industry 4.0 (2023): 135–181.
- Liu, Ye, et al. “From Industry 4.0 to Agriculture 4.0: Current status, enabling technologies, and research challenges.” IEEE Transactions on Industrial Informatics 17.6 (2020): 4322–4334.
- Rajak, P., Ganguly, A., Adhikary, S., & Bhattacharya, S. (2023). Internet of Things and smart sensors in agriculture: Scopes and challenges. Journal of Agriculture and Food Research, 14, 100776.
- Nayak, Padmalaya, Kayiram Kavitha, and Ch Mallikarjuna Rao. “IoT-enabled agricultural system applications, challenges and security issues.” IoT and analytics for agriculture (2020): 139–163.
- Gupta, M., Abdelsalam, M., Khorsandroo, S., & Mittal, S. (2020). Security and privacy in smart farming: Challenges and opportunities. IEEE access, 8, 34564–34584.
- Rudrakar, Santoshi, and Parag Rughani. “IoT based agriculture (Ag-IoT): A detailed study on architecture, security and forensics.” Information Processing in Agriculture (2023).
- Mekdad, Y., Aris, A., Babun, L., El Fergougui, A., Conti, M., Lazzeretti, R., & Uluagac, A. S. (2023). A survey on security and privacy issues of UAVs. Computer Networks, 224, 109626.
- Jena, Lopamudra, et al. “Unlocking Potential of Dryland Horticulture in Climate-Resilient Farming.” Enhancing Resilience of Dryland Agriculture Under Changing Climate: Interdisciplinary and Convergence Approaches. Singapore: Springer Nature Singapore, 2023. 343–382.
- Devi, T., et al. “A-Based Weather Forecasting System for Smart Agriculture System Using a Recurrent Neural Networks (RNN) Algorithm.” Sustainable Management of Electronic Waste (2024): 97–112.
- Rudrakar, Santoshi, and Parag Rughani. “IoT based agriculture (Ag-IoT): A detailed study on architecture, security and forensics.” Information Processing in Agriculture (2023).
- Chen, H., Liu, J., Wang, J., & Xun, Y. (2023). Towards secure intra-vehicle communications in 5G advanced and beyond: Vulnerabilities, attacks and countermeasures. Vehicular Communications, 39, 100548.
- Makhdoom, I., Abolhasan, M., Franklin, D., Lipman, J., Zimmermann, C., Piccardi, M., & Shariati, N. (2023). Detecting compromised IoT devices: Existing techniques, challenges, and a way forward. Computers & Security, 132, 103384.
- Thabit, F., Can, O., Aljahdali, A. O., Al-Gaphari, G. H., & Alkhzaimi, H. A. (2023). A Comprehensive Literature Survey of Cryptography Algorithms for Improving the IoT Security. Internet of Things, 100759.
- Abikoye, Oluwakemi Christiana, et al. “Securing critical user information over the internet of medical things platforms using a hybrid cryptography scheme.” Future Internet 15.3 (2023): 99.
- Zhao, Junfang, Dongsheng Liu, and Ruixi Huang. “A Review of Climate-Smart Agriculture: Recent Advancements, Challenges, and Future Directions.” Sustainability 15.4 (2023): 3404.
- Awotunde, J. B., Brahma, B., Adeniyi, A. E., Lauretta Nkonyeasua, E., Imoize, A. L. & Mejdoub, Y, (2024). An enhanced hybrid cryptography model for online banking authentication and security. In International Conference on Connected Objects and Artificial Intelligence (pp. 287–293). Cham: Springer Nature Switzerland.
- Itoo, S., Khan, A. A., Ahmad, M., & Idrisi, M. J. (2023). A Secure and Privacy-Preserving Lightweight Authentication and Key Exchange Algorithm for Smart Agriculture Monitoring System. IEEE Access.
- Itoo, S., Baksh, R., Som, L. K., Ahmad, M. & Masoodi, F. S. (2025). Enhancing medical data protection with a resilient ECC and blockchain authentication framework. Information Security Journal: A Global Perspective, 34(6), pp. 616–632.
- Song, Qingling, Lang Li, and Xiantong Huang. “LELBC: A low energy lightweight block cipher for smart agriculture.” Internet of Things 25 (2024): 101022.
- Pan, F., Jiang, Y., Wen, H., Liao, R. & Xu, A. (2017). September. Physical layer security assisted 5G network security. In 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall) (pp. 1–5). IEEE.
- Zhao, Yingding, et al. “Agricultural IoT Data Storage Optimization and Information Security Method Based on Blockchain.” Agriculture 13.2 (2023): 274.
- Berguiga, A., Harchay, A., Massaoudi, A., Ayed, M. B., & Belmabrouk, H. (2023). GMLP-IDS: A Novel Deep Learning-Based Intrusion Detection System for Smart Agriculture. Computers, Materials & Continua, 77(1).
- Chibuike, L. U., Kelechi, D. A., Onukwugha, C. G., & Daniel, A. N. (2023). IoT Applications in Agriculture: Impacts and Challenges (A Review). University of Ibadan Journal of Science and Logics in ICT Research, 9(1).
- Kethineni, Keerthi, and Pradeepini Gera. “Iot-Based Privacy-Preserving Anomaly Detection Model for Smart Agriculture.” Systems 11.6 (2023): 304.
- Gulbarga, Mohammad Imtiyaz, et al. “Deep Learning (DL) Dense Classifier with Long Short-Term Memory Encoder Detection and Classification against Network Attacks.” 2023 17th International Conference on Electronics Computer and Computation (ICECCO). IEEE, 2023.
- Malik, Naveed Ahmed, Naveed Ishtiaq Chaudhary, and Muhammad Asif Zahoor Raja. “Firefly Optimization Heuristics for Sustainable Estimation in Power System Harmonics.” Sustainability 15.6 (2023): 4816.
- Ullah, Shamsher, et al. “Elliptic Curve Cryptography; Applications, challenges, recent advances, and future trends: A comprehensive survey.” Computer Science Review 47 (2023): 100530.
- Abed, S. E., Jaffal, R., Mohd, B. J., & Al-Shayeji, M. (2021). An analysis and evaluation of lightweight hash functions for blockchain-based IoT devices. Cluster Computing, 24, 3065–3084.
- Majumder, Suman, et al. “ECC-CoAP: Elliptic curve cryptography based constraint application protocol for internet of things.” Wireless Personal Communications 116 (2021): 1867–1896.
- Feng, Y., Zhou, J., Li, J., Zhao, W., Shi, J., Shi, R., & Li, W. (2022). SKC-CCCO: an encryption algorithm for quantum group signature. Quantum Information Processing, 21(9), 328.
- Prakasam, P., et al. “An enhanced energy efficient lightweight cryptography method for various IoT devices.” ICT Express 7.4 (2021): 487–492.
- Bhaskaran, R., et al. “Blockchain Enabled Optimal Lightweight Cryptography Based Image Encryption Technique for IIoT.” Intelligent Automation & Soft Computing 33.3 (2022).
- Cheng, Leixiao, et al. “AKC-based revocable ABE schemes from LWE assumption.” Security and Communication Networks 2020 (2020): 1–16.
- Mhaibes, H. I., Abood, M. H., & Farhan, A. K. (2022). Simple Lightweight Cryptographic Algorithm to Secure Imbedded IoT Devices. international journal of interactive mobile technologies, 16(20).
- Goyal, T. K., Sahula, V., & Kumawat, D. (2022). Energy efficient lightweight cryptography algorithms for IoT devices. IETE Journal of Research, 68(3), 1722–1735.
- Jammula, M., Vakamulla, V. M., & Kondoju, S. K. (2022). Performance evaluation of lightweight cryptographic algorithms for heterogeneous IoT environment. Journal of Interconnection Networks, 22(Supp01), 2141031.
- Hedayati, R., & Mostafavi, S. (2022). A lightweight image encryption algorithm for secure communications in multimedia Internet of Things. Wireless Personal Communications, 123(2), 1121–1143.
- Alicea, M., & Alsmadi, I. (2022). New and efficient lightweight cryptography algorithm for mobile and web applications. Procedia Computer Science, 203, 111–118.
- Regla, A. I., & Festijo, E. D. (2022, April). Performance analysis of light-weight cryptographic algorithms for internet of things (IOT) applications: A systematic review. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1–5). IEEE.
DOI: https://doi.org/10.2478/ijssis-2026-0064 | Journal eISSN: 1178-5608
Language: English
Submitted on: Dec 3, 2025
Published on: Aug 30, 2026
Published by: International Journal on Smart Sensing and Intelligent Systems
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Related subjects:
© 2026 K Kumar, K Sasikala, published by International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.