Demo Data from EDBT 2026 / reviewers in the wild / expert
Hema Gohain
dblp:418/7304
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0002-8643-1487ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 |
Privacy and data protection · 30% Cryptographic primitives and cryptanalysis · 30% Cryptographic protocols and secure computation · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic protocols and secure computation
key management |
0.9 | 1 | 2025 | Secure and Privacy Preserving Scalable GDPR Enforcement System · IEEE Trans. Serv. Comput. 2025 |
Privacy and data protection
privacy compliance |
0.9 | 1 | 2025 | Secure and Privacy Preserving Scalable GDPR Enforcement System · IEEE Trans. Serv. Comput. 2025 |
Cryptographic primitives and cryptanalysis
proxy re-encryption |
0.9 | 1 | 2025 | Secure and Privacy Preserving Scalable GDPR Enforcement System · IEEE Trans. Serv. Comput. 2025 |
Authentication and access control › access control
role-based access control |
0.3 | 1 | 2025 | Secure and Privacy Preserving Scalable GDPR Enforcement System · IEEE Trans. Serv. Comput. 2025 |
Methods — techniques the papers use, named apart from their topics
random oracle model · 0.9formal verification · 0.9BAN logic · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Secure and Privacy Preserving Scalable GDPR Enforcement SystemabstractProtecting personal data has become a major issue of concern in the whole world. As per the General Data Protection Regulation (GDPR), Data Owners (DO) are given back control over their data, which is maintained by the Service Providers (SP). However, SP needs to be fully GDPR compliant. In the existing GDPR enforcement technologies, DO is severely facing the scalability issue considering it has to manage separate keys for different data. Clearly, it would be highly impractical to manage such a huge and proportionally increased amount of keys for resource constrained devices of DO. Furthermore, the integrity of the data received by the Data User (DU) is not addressed in the existing works. We propose a proxy re-encryption based secure protocol where DO has to manage only one key. We propose a threat model to analyze our proposed protocol. In this analysis, we use a random oracle model to assess security and privacy. We use Burrows-Abadi-Needham (BAN) logic to verify the correctness. Simulation through AVISPA and ProVerif, formal verification tools, also confirms the security and privacy of the proposed protocol. A testbed simulation is conducted to estimate the computational, communication, and storage requirements, ensuring the practicality of the proposed protocol. Mou Dutta, Subhasish Dhal, Hema Gohain |
IEEE Trans. Serv. Comput. | 3 |