Citation

Zainuddin, Ahmad Anwar and Handayani, Dini and Mohd Ridza, Isyraq Haziq and Abdul Rahman, Siti Husna and Kamarudin, Saidatul Izyanie and Ahmad, Khairul Zakwan and Mahazir, Mirza Darwisy and Sukhaimi, Muazzam Hazmi and Subramaniam, Krishnan and Firdaus Basri, Mohamad Irfan and Mohd Dhuzuki, Nurul Hanis (2024) Converging for Security: Blockchain, Internet of Things, Artificial Intelligence - Why Not Together? In: 2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE), Penang, Malaysia, 24-25 May 2024.

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Abstract

Blockchain, renowned for its decentralized and secure nature, and Artificial Intelligence, the pinnacle of machine intelligence, stand as pillars of innovation. However, despite the recognition of their few successful collaborations, the interrelation among these triumvirates - Internet-of-Things (IoT), Blockchain, and Artificial Intelligence (AI) - still remains relatively unexplored terrain. Issues arise regarding their synergy: the challenges of integration, the potential improvements in existing technologies, and the careful consideration required before their unification. While evidence suggests their individual prowess, understanding their convergence and the implications thereof is crucial for shaping a technologically robust future. This paper delves into the complex interplay between IoT, Blockchain, and AI, navigating their relationship and exploring opportunities for enhancement. In addition, this paper will also look into several challenges and complexities hindering seamless integration.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Blockchain, Internet of Things (IoT), Artificial Intelligence (AI)
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	31 Jul 2024 04:24
Last Modified:	31 Jul 2024 04:25
URII:	http://shdl.mmu.edu.my/id/eprint/12685

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