OGA-Based Chaotic Key Generation for Lightweight IoT Encryption
Keywords:
Online Genetic Algorithm, chaotic encryption, lightweight IoT security, adaptive key generation, logistic mapAbstract
With the increasing in IoT devices utilities, comes a need to secure their communications. IoT devices generally combine low computational cost with strong security. While traditional encryption algorithms will work well for large-scale systems normally, they don't meet the stringent energy requirements of lightweight IoT environments or the processing constraints associated with these devices. In addition, standard or static key scheduling strategies are not adequate to deal with either the continual evolution of attack surfaces or changing operating environments.
In this paper, we present a hybrid Online Genetic Algorithm (OGA) - Chaotic Key Generation algorithm that generates adaptive, high-entropy encryption keys in real-time utilizing a chaotic map for randomness and an Online Genetic Algorithm to continuously evolve the control parameters for optimizing maximum entropy, avalanche strength, and bit level balance. The evolved chaotic sequence serves as the initialization value for a lightweight symmetric encryption algorithm (such as AES-128 or PRESENT) for maximum unpredictability and minimum latency.
Experimental simulations show that the OGA–Chaos system achieves near-ideal entropy (7.99 bits/byte), reduced key correlation, and approximately 30 % lower processing overhead compared with classical genetic and static chaotic generators. These results demonstrate the promising of online evolutionary optimization as a a new tool for adaptive IoT cryptosystems.
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