Demo Data from EDBT 2026 / reviewers in the wild / expert
Manoj Wadhwa
dblp:58/2954
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021Security and privacy · 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 |
Authentication and access control · 50% Cryptographic primitives and cryptanalysis · 38% Privacy and data protection · 12% | |
| Computer networks
1 paper |
Vehicular, aerial and satellite networks · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Authentication and access control › authentication
authentication protocols |
1.0 | 1 | 2026 | Lattice-Based Anonymous Batch Verifiable Authentication for Fog-Assisted VANETs · IEEE Trans. Inf. Forensics Secur. 2026 |
Cryptographic primitives and cryptanalysis › public-key cryptography › digital signatures
batch verification |
1.0 | 1 | 2026 | Lattice-Based Anonymous Batch Verifiable Authentication for Fog-Assisted VANETs · IEEE Trans. Inf. Forensics Secur. 2026 |
Vehicular, aerial and satellite networks
vehicular ad hoc networks |
0.3 | 1 | 2026 | Lattice-Based Anonymous Batch Verifiable Authentication for Fog-Assisted VANETs · IEEE Trans. Inf. Forensics Secur. 2026 |
Privacy and data protection
anonymity |
0.3 | 1 | 2026 | Lattice-Based Anonymous Batch Verifiable Authentication for Fog-Assisted VANETs · IEEE Trans. Inf. Forensics Secur. 2026 |
Authentication and access control
anonymous authentication |
0.3 | 1 | 2026 | Lattice-Based Anonymous Batch Verifiable Authentication for Fog-Assisted VANETs · IEEE Trans. Inf. Forensics Secur. 2026 |
Methods — techniques the papers use, named apart from their topics
random oracle model · 2.0lattice cryptography · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Efficient and secure homomorphic data aggregation for smart meter-to-grid communication
Girraj Kumar Verma, Asheesh Tiwari, Manoj Wadhwa, Neeraj Kumar 0001 |
Comput. Networks | 3 |
| 2026 | Lattice-Based Anonymous Batch Verifiable Authentication for Fog-Assisted VANETsabstractThe integration of advanced communication technologies with modern vehicular systems has driven the evolution of vehicular ad-hoc networks (VANETs). These networks enable a seamless exchange of road safety information between vehicles and traffic management authorities via wireless links. However, the open nature of these communication channels introduces significant risks to the privacy and security of transmitted messages. To address these challenges, Liet al. (IEEE Trans. Inf. Forensics and Security, vol. 19, pp. 9629–9642, 2024) proposed a lattice-based authentication scheme designed for fog-assisted VANETs. This protocol utilizes lattice cryptography to ensure resilience against quantum attacks and employs fog computing to tackle scalability issues. Despite these advancements, a detailed analysis uncovers several vulnerabilities and inefficiencies in their design. This study identifies an anonymity disclosure attack on Liet al.’s scheme, compromising its privacy guarantees. In addition, redundancies in the signature generation process impose excessive computational burdens on resource-constrained vehicular devices. To address these shortcomings, this work introduces a lattice-based anonymous batch-verifiable authentication (LBABVA) scheme. Rigorous security analysis proves the scheme’s security in the random oracle model, while efficiency evaluations reveal significant improvements. The proposed scheme reduces the computational cost of the signing phase to 14.57% and the signature verification phase to 83.99% of the corresponding costs of the previous design, highlighting its superior performance and suitability for practical applications. Girraj Kumar Verma, Asheesh Tiwari, Neeraj Kumar 0001, Saurabh Rana, Manoj Wadhwa |
IEEE Trans. Inf. Forensics Secur. | 5 |