Demo Data from EDBT 2026 / reviewers in the wild / expert
Barnana Baruah
dblp:156/9038
· DBLP profile ↗
3ranked-venue papers
3as first author
2since 2021 · last 2023
0000-0002-8854-7152ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 2 first-author · 1 since 2021Computer networks · 1 · 1 first-author · 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 · 62% Authentication and access control · 38% | |
| Computer networks
1 paper |
Vehicular, aerial and satellite networks · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection
location privacy |
0.7 | 1 | 2023 | A Security and Privacy Preserved Intelligent Vehicle Navigation System · IEEE Trans. Dependable Secur. Comput. 2023 |
Vehicular, aerial and satellite networks
vehicular ad hoc networks |
0.2 | 1 | 2023 | A Security and Privacy Preserved Intelligent Vehicle Navigation System · IEEE Trans. Dependable Secur. Comput. 2023 |
Authentication and access control › authentication
authentication protocols |
0.2 | 1 | 2023 | A Security and Privacy Preserved Intelligent Vehicle Navigation System · IEEE Trans. Dependable Secur. Comput. 2023 |
Authentication and access control
distributed authentication |
0.2 | 1 | 2023 | A Security and Privacy Preserved Intelligent Vehicle Navigation System · IEEE Trans. Dependable Secur. Comput. 2023 |
Methods — techniques the papers use, named apart from their topics
adversary model · 1.3BAN logic · 1.3AVISPA · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | A Security and Privacy Preserved Intelligent Vehicle Navigation SystemabstractWith emergence of smart city concept, intelligent transportation becomes one of its key enablers, with navigation as an indispensable component. Vehicular ad hoc network (VANET) based systems emerge to provide navigation services to vehicle users, which is characterized by employing Roadside Units (RSUs) to collect road condition information from nearby vehicles. The querying vehicle exploits the information retrieved through the RSUs to determine an optimal route. We focus on addressing two key issues in such system. First, while querying, the destination of the vehicle user should not be leaked to the queried RSU and trusted authority (TA), which is likely to be misused. Second, the navigation process should be independent of participation of the centralized TA, which can be a single point of failure. To address these issues, this article proposes a security and privacy preserved intelligent vehicle navigation system, adopting a distributed approach, to retrieve navigation without revealing the destination. The security of the system has been thoroughly evaluated using an adversary model, BAN Logic and AVISPA tool. In addition, the performance of the proposed system has been evaluated, and compared with the existing systems. The comparison illustrates that the proposed system is computationally efficient than the existing systems. Barnana Baruah, Subhasish Dhal |
IEEE Trans. Dependable Secur. Comput. | 1 |
| 2021 | A secure road condition monitoring scheme in cloud based VANET
Barnana Baruah, Subhasish Dhal |
Comput. Commun. | 1 |
| 2018 | A two-factor authentication scheme against FDM attack in IFTTT based Smart Home System
Barnana Baruah, Subhasish Dhal |
Comput. Secur. | 1 |