Enhancing IoT Smart Door Lock Security Using Chameleon Swarm Algorithm, SHA-256, and ECC

Kh Shakr Sabonchi, Arkan

	Enhancing IoT Smart Door Lock Security Using Chameleon Swarm Algorithm, SHA-256, and ECC
Al-Kunooze Scientific Journal
Volume 11, Issue 3, July 2025, Pages 136-158 PDF (764.22 K)
Document Type: Original Article
Author
Arkan Kh Shakr Sabonchi
Abstract
The rapid proliferation of Internet of Things (IoT) devices, spanning from smart home appliances to wearable technology, has significantly heightened concerns regarding security and privacy across various sectors. As cyber threats become increasingly sophisticated and frequent, the urgency for robust, adaptable security frameworks within IoT infrastructures is more critical than ever. This study introduces a cutting-edge security framework tailored for IoT-based smart door locks, which employs a novel integration of the Chameleon Swarm Algorithm (CSA), Secure Hash Algorithm SHA-256, and Elliptic Curve Cryptography (ECC). We conducted comprehensive performance evaluations in a Microsoft Visual Studio 2012 environment, where our proposed framework was benchmarked against conventional hybrid methods based on Genetic Algorithms (GA) and Firefly Algorithm such as - SHA-256-ECC-GA and SHA-256-ECC-FA. These evaluations demonstrated that our framework significantly enhances security performance, achieving up to 15.17% faster encoding times at 100 iterations and markedly quicker decoding times at 150 iterations compared to the benchmark techniques. The improvements confirm the framework’s effectiveness in not only bolstering IoT device security but also in its potential for scalability and adaptability across diverse IoT applications.
Keywords
Information Security; Chameleon Swarm Algorithm (CSA); Internet of Things (IoT) security; Elliptic Curve Cryptography (ECC); SHA-256 algorithm

Statistics Article View: 72 PDF Download: 42