Mathematical modeling and security analysis of a lightweight cryptographic encryption algorithm for resource-constrained IoT devices
Ramesh KumarRamesh.meena@jaipur.manipal.eduDepartment of Electronics & Communication EngineeringManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , Satya Narayansatya.tazi@ecajmer.ac.inDepartment of Computer Science and EngineeringEngineering College AjmerAjmer, Rajasthan, 305002, IndiaView full profile → , Shashank Tripathisatripathi@kkwagh.edu.inDepartment of Electrical EngineeringK K Wagh Institute of Engineering Education and ResearchNashik, Maharashtra, 422003, IndiaView full profile → , Ashish Kumar Singhashishkrsinghiitbhu@gmail.comDepartment of Electronics and Communication EngineeringGraphic Era (Deemed to be University)Dehradun, Uttarakhand, 248002, IndiaView full profile → , *Gagandeep BerarCorresponding authorgagandeep2913@gmail.comDepartment of Computer Science and EngineeringChitkara Institute of Engineering & TechnologyChitkara UniversityRajpura, Punjab, 140401, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Jan 2026
- Published Online:
- 14 Aug 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-2811
- Pages:
- 3239–3248
Abstract
This potential has sparked significant interest across industries and in academic circles. IoT evolving into a versatile utility, offering advanced capabilities in sensing, acting, communicating, controlling, and extracting valuable insights from vast amounts of data. However, there’s a big challenge: IoT devices often have limited computing power, memory, and battery life, which creates a major hurdle for security. To tackle this, our research introduces a new, energy-efficient, and lightweight cryptographic approach. It’s based on the ElGamal algorithm, specifically adapted for these resource-constrained IoT devices. In this study uses the ElGamal algorithm for key generation, encryption, and decryption. We’ve also included a comparative performance analysis using MATLAB, pitting our approach against RSA and Paillier algorithms. By employing an 8-bit manipulation technique, our proposed method significantly reduces power and memory consumption, making it ideal for energy-limited IoT applications. The results clearly show that our solution performs better in terms of power usage, memory requirements, and processing time, demonstrating its effectiveness for securing IoT devices.
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References
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