Identity and access management for IOT devices
- Title
- Identity and access management for IOT devices
- Creator
- Jimmy, Mathew Jyyothis; John, Naveen; Sreenath, V.; Etemi, Blerta Prevalla; Rajesh Kanna, R.
- Description
- Identity and Access Management (IAM) for Internet of Things (IoT) devices is crucial in safeguarding the security and integrity of interconnected systems. This critical analysis explores the unique challenges and solutions associated with IAM in the context of IoT environments. IoT devices, characterized by their diverse types and widespread deployment, present significant complexities in managing identities and controlling access. Traditional IAM frameworks often fall short when applied to the dynamic and distributed nature of IoT networks, where devices frequently interact autonomously and may lack standardization. The analysis identifies key issues such as scalability, interoperability, and real-time authentication. It highlights the need for advanced IAM solutions that can handle the vast number of devices, support diverse protocols, and ensure robust security measures. Emerging technologies, including blockchain and AI-driven authentication, offer promising avenues for enhancing IAM in IoT contexts. Blockchain can provide decentralized, tamper-proof identity management, while AI can enhance real-time threat detection and adaptive access control. The review underscores the importance of developing IAM frameworks that are both flexible and scalable to address the evolving security requirements of IoT environments. By addressing these challenges, organizations can better secure their IoT infrastructure and mitigate risks associated with unauthorized access and identity breaches. 2026 Elsevier Inc. All rights reserved..
- Source
- IoT Security: Fundamentals and Key Enabling Technologies;pp.137-151
- Date
- 01-01-2025
- Publisher
- Elsevier
- Subject
- Federated identity management; IoT security; Machine learning authentication; Privacy-preserving techniques; Risk-based access control; Scalable IAM solutions
- Coverage
- Jimmy M.J., Department of Computer Science, CHRIST University, Karnataka, Bengaluru, India; John N., Department of Computer Science, CHRIST University, Karnataka, Bengaluru, India; Sreenath V., Department of Computer Science, CHRIST University, Karnataka, Bengaluru, India; Etemi B.P., Department of Computing and Information Technologies, RIT Kosovo (A.U.K), Rochester Institute of Technology - RIT Global Campus, Kosovo, Prishtina; Rajesh Kanna R., Department of Computer Science, CHRIST University, Karnataka, Bengaluru, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 978-044334125-0; 978-044334126-7;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Jimmy, Mathew Jyyothis; John, Naveen; Sreenath, V.; Etemi, Blerta Prevalla; Rajesh Kanna, R., “Identity and access management for IOT devices,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24239.
