EDBT 2026 Demo / reviewers in the wild / expert
Manting Gan
dblp:438/5187
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
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 |
Cryptographic protocols and secure computation · 67% Authentication and access control · 33% | |
| 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 |
|---|---|---|---|---|
Authentication and access control
certificate management |
1.0 | 1 | 2026 | Distributed and Autonomous Group Management Supporting Group Fusion for UAVs · IEEE Trans. Mob. Comput. 2026 |
Cryptographic protocols and secure computation › secret sharing
proactive secret sharing |
1.0 | 1 | 2026 | Distributed and Autonomous Group Management Supporting Group Fusion for UAVs · IEEE Trans. Mob. Comput. 2026 |
Cryptographic protocols and secure computation
secret sharing |
1.0 | 1 | 2026 | Distributed and Autonomous Group Management Supporting Group Fusion for UAVs · IEEE Trans. Mob. Comput. 2026 |
Vehicular, aerial and satellite networks › aerial networks
UAV networks |
0.3 | 1 | 2026 | Distributed and Autonomous Group Management Supporting Group Fusion for UAVs · IEEE Trans. Mob. Comput. 2026 |
Methods — techniques the papers use, named apart from their topics
random oracle model · 2.0mobile proactive secret sharing · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Distributed and Autonomous Group Management Supporting Group Fusion for UAVsabstractWith increasingly complex tasks, cooperation among multiple unmanned aerial vehicle (UAV) groups has become more significant. However, in complex operational environments, UAVs may operate outside the communication coverage of the trusted authority (TA), making continuous online TA services unavailable. Under such circumstances, most existing group management methods have difficulty achieving group fusion and cannot flexibly update post-fusion member certificates. Therefore, we propose an autonomous UAV group management scheme based on mobile proactive secret sharing. First, the scheme achieves autonomous group fusion by updating the subsecrets of UAVs. Second, without the participation of a TA, the scheme supports the dynamic self-updating of certificates, ensuring secure communication in the new group and continuous availability of certificates. Security proofs and analyses show that the proposed scheme is secure under the random oracle model and can resist several common attacks. The experimental results demonstrate that the proposed scheme outperforms related schemes in computational performance and is suitable for secure and efficient UAV group management scenarios. Fengqun Wang, Manting Gan, Hong Zhong 0001, Qingyang Zhang 0001, Jie Cui 0004, Debiao He |
IEEE Trans. Mob. Comput. | 2 |