Demo Data from EDBT 2026 / reviewers in the wild / expert
Uma N. Dulhare
dblp:408/9103
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Blockchain and cryptocurrency security · 100% | |
| Computer networks
1 paper |
Edge and fog computing · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Blockchain and cryptocurrency security › blockchain-based identity management
blockchain-based authentication |
1.0 | 1 | 2026 | A Blockchain-Integrated Security Framework for IP Camera Gateways in Cloud-Fog-Edge IoT Environments · IEEE Trans. Netw. 2026 |
Methods — techniques the papers use, named apart from their topics
blockchain · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A Blockchain-Integrated Security Framework for IP Camera Gateways in Cloud-Fog-Edge IoT EnvironmentsabstractThe rapid expansion of IoT (Internet of Things) ecosystems has ushered in a new era of connected devices, yet it has also exposed critical vulnerabilities, especially within IP camera gateways operating across cloud, fog, and edge layers. This paper introduces a blockchain-integrated security framework designed to enhance the protection of IP camera gateways in such distributed IoT environments. By leveraging the decentralized and tamper-proof characteristics of blockchain technology, the framework establishes robust mechanisms for authentication, secure data transmission, and access control. The multi-layered security approach adapts to the unique constraints and requirements of each network tier—cloud, fog, and edge—ensuring that security measures are both comprehensive and scalable. Simulation results underscore the framework’s ability to mitigate cyber threats, prevent unauthorized access, and maintain data integrity and confidentiality. This work not only demonstrates a viable path for integrating blockchain into IoT security architectures but also lays the groundwork for future advancements in securing next-generation IoT deployments. Gunupudi Rajesh Kumar, Annaluri Sreenivasa Rao, Attili Venkata Ramana, G. Ravi Kumar, Uma N. Dulhare, Ravi Tene |
IEEE Trans. Netw. | 5 |