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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55696
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The Internet of Things (IoT) has revolutionized connectivity by enabling everyday devices to communicate and share data autonomously. The rapid growth of Internet of Things (IoT) networks has increased vulnerabilities related to data security, privacy, and trust management. Traditional centralized security models suffer from scalability and single-point-of-failure issues; however, this interconnected environment invites significant security challenges because traditional security models often rely on centralized control, making them vulnerable to attacks, data tampering, and trust issues. Block chain technology, with its decentralized and immutable ledger system, has emerged as a reliable foundation for securing IoT communications. When combined with advanced threat detection algorithms like Convolutional Neural Networks (CNN), IoT ecosystems can not only secure communication channels but also intelligently detect malicious activity. This research article provides a descriptive exploration of block chain-enhanced security and CNN-based threat detection in IoT environments, outlines the methodology, discusses real-world application frameworks, and highlights benefits and limitations.
KEYWORDS
Publication Date
12/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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