Hybrid DFA-Chaos Cryptosystem for Secure IoT Data Transmission on Resource-Constrained Devices

Akbota Kulzhanova (), Sholpan Jomartova (), Vadim Zhmud (), Talgat Mazakov () and Aigerim Mazakova ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 6, 2048-2054

Abstract: The rapid proliferation of Internet of Things (IoT) devices in resource-limited environments poses significant security challenges, as traditional cryptographic methods are often too slow and resource-intensive for systems with limited power and memory. This study addresses these issues through the development of a novel hybrid cryptosystem that combines Deterministic Finite Automata (DFA)-based hashing with Lorenz attractor-driven encryption for secure IoT data transmission. The approach is twofold: first, hash values are generated from fixed sensor data sources; second, the Lorenz chaotic system uses this data as initial conditions to generate unpredictable encryption keys. The system employs lightweight XOR-based encryption, making it well suited for microcontrollers. A working prototype was developed and implemented on Arduino platforms using the Wokwi simulation environment and tested with real sensor inputs (temperature and photoresistor). Experimental results show excellent performance: zero hash collisions for 1,000 input values ranging from 0 to 1023, total key unpredictability even with minimal input changes, and encryption time under 120 ms on Arduino Uno. The system achieves robust security and 100% accuracy in tampering detection, while consuming less than 20% of the available memory on the microcontroller. Its successful implementation demonstrates the feasibility of hybrid DFA-chaos cryptography in embedded IoT environments.

Keywords: DFA hashing; Embedded systems; Encryption; IoT security; Lorenz attractor. (search for similar items in EconPapers)
Date: 2025
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