Mervin Retnadhas

Work place: Department of Information Technology, College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia

E-mail: m.mary@seu.edu.sa

Website:

Research Interests:

Biography

Dr. Mervin Retnadhas Mary is an Assistant Professor at Saudi Electronic University, Saudi Arabia. She received her Ph.D. in Computer Science and Engineering in the research area of Question Answering System in Natural Language Processing in 2019. She has 22 years of teaching experience in various institutions in India and has published 41 research articles in various National conferences, International Conferences, and International journals. It also includes 2 Patents and 2 Book chapters.

Author Articles
Innovative Forensics in IoT Clouds by Leveraging Blockchain for Data Integrity and Security

By Ragu Gnanaprakasam Ramamoorthy Sriramulu Poorvadevi Ramamoorthy Mervin Retnadhas

DOI: https://doi.org/10.5815/ijcnis.2026.01.08, Pub. Date: 8 Feb. 2026

The Internet of Things and cloud computing are expanding at a very rapid rate, which has posed a great challenge in maintaining data security and integrity, particularly during forensic investigation. The conventional logging mechanisms are prone to manipulation, unreliable, and difficult to verify the digital evidence. In response to these problems, a blockchain-based system is suggested to facilitate the security and reliability of forensic data stored on cloud-based environments, which is related to IoT devices. The decentralized storage is paired with the smart contract technology to form an immutable version of the cloud communications to make sure that the evidence is unaltered to guarantee its verifiability. It further has a safe off-chain storage system enabling swift records and recalls of massive forensic records. The enormous amount of experimentation has demonstrated that the system minimizes the verification times to about 28 to 39 milliseconds. It is quicker than the methods that are currently in place and has high data integrity. The framework enhances transaction throughput as well as provides scalable solution to preserve forensic evidence. It has offered a feasible and reliable platform to enhance the security, visibility and reliability of forensic data within intricate IoT and cloud environments. These characteristics aid law enforcement groups and forensic investigators in having effective and credible investigations.

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