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.