Citation

Bajpai, Shrishti and Gochhait, Saikat and Raghavendran, Prabakaran and Gunasekar, Tharmalingam and Alandoli, Mohammed Nasser (2025) Adaptive Defense Mechanisms for IoT Ecosystems: A Response to Adversarial Tactics. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya.

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Abstract

The Internet of Things (IoT) has revolutionized industries by seamlessly integrating billions of devices, driving automation, and enhancing operational efficiency. However, this rapid expansion has also introduced significant security vulnerabilities, making IoT ecosystems attractive targets for a wide range of adversaries, from individual hackers to state-sponsored actors. The inherent limitations of IoT devices—such as low computational power, diverse architectures, and dynamic networks—pose additional challenges for traditional security frameworks. This paper proposes a scalable and adaptable security framework tailored to the unique characteristics of IoT ecosystems. The proposed framework incorporates advanced technologies to address these challenges: blockchain for decentralized trust and data integrity, artificial intelligence for real-time anomaly detection and proactive threat mitigation, and lightweight encryption protocols to secure communication without overburdening resource-constrained devices. A zero-trust architecture ensures continuous authentication of devices and users, eliminating implicit trust within the network. Additionally, a risk-based resource allocation strategy optimizes security measures by prioritizing critical components of the IoT ecosystem. Simulations demonstrate the effectiveness of the framework in reducing attack surfaces, improving threat detection accuracy, and enhancing resource utilization. This framework provides a holistic approach to securing IoT systems at all layers, ensuring scalability, performance, and resilience against evolving threats. This work contributes to the IoT security field by offering a forward-looking solution to safeguard interconnected devices, fostering further innovation and adoption of IoT technologies.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	IoT security
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	17 Mar 2026 05:06
Last Modified:	17 Mar 2026 05:06
URII:	http://shdl.mmu.edu.my/id/eprint/15480

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