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Journal of Communication Engineering & Systems Review Article

Multi-Layered AI-Driven Paradigm Shift in IoT Ecosystem Security

  1. Kazi Kutubuddin Sayyad Liyakat Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur
  2. Heena T Shaikh Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur

Abstract

As the Internet of Things (IoT) continues to weave itself into the fabric of modern life – from smart homes and industrial automation to healthcare and urban infrastructure – the associated security vulnerabilities have become increasingly apparent. Traditional security mechanisms, often built on static rules and perimeter-based defenses, struggle to keep pace with the scale, heterogeneity, and dynamic nature of IoT ecosystems. In response, artificial intelligence (AI) has emerged as a transformative force in fortifying IoT environments against evolving cyber threats. The exponential expansion of the IoT has created an unprecedentedly complex and porous attack surface. Traditional, perimeter-based security paradigms are fundamentally inadequate for this decentralized, heterogeneous ecosystem. This paper proposes a novel framework: the cognitive-autonomic security mesh (CASM). CASM is a multi-layered, AI-native security architecture designed to provide proactive, adaptive, and resilient defense across the entire IoT stack – from the constrained endpoint to the cloud and back. It leverages a synergistic interplay of distributed AI models to achieve a state of continuous self-learning, self-healing, and autonomous threat mitigation. By continuously learning from device interactions, network traffic patterns, and environmental inputs, the proposed method transcends rule-based limitations, enabling proactive defense mechanisms that evolve alongside emerging attack vectors. Deployed across edge, fog, and cloud layers, this AI-integrated approach enhances scalability, reduces false positives, and strengthens end-to-end security across distributed IoT networks.

Keywords

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