Demo Data from EDBT 2026 / reviewers in the wild / expert
Lingqi Huang
dblp:306/1702
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Security 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 · 67% Systems and software security · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Authentication and access control › access control
microphone access control |
0.5 | 1 | 2021 | A Smart Framework for Fine-Grained Microphone Acoustic Permission Management · IEEE Trans. Dependable Secur. Comput. 2021 |
Systems and software security
operating system security |
0.5 | 1 | 2021 | A Smart Framework for Fine-Grained Microphone Acoustic Permission Management · IEEE Trans. Dependable Secur. Comput. 2021 |
Authentication and access control › access control
permission management |
0.5 | 1 | 2021 | A Smart Framework for Fine-Grained Microphone Acoustic Permission Management · IEEE Trans. Dependable Secur. Comput. 2021 |
Methods — techniques the papers use, named apart from their topics
policy recommendation · 0.5machine learning classification · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | A Smart Framework for Fine-Grained Microphone Acoustic Permission ManagementabstractMicrophones attracted a lot of attentions from attackers due to the sensitivity of voice data: attackers may control devices through abusing their microphones, fingerprint devices by measuring their microphones, or directly monitor the microphone readings to steal users’ private data. Nevertheless, OS developers failed to address the severe consequences. While the current security mechanism only offers a coarse-grained access control over the usage of microphones: recording all sound or shutting off, it is necessary to redesign the microphone security mechanism to enforce fine-grained restrictions over the usage of microphones. In this article, we propose a fine-grained microphone access control scheme on Android platform, referred to asFMC(Finer Microphone Controller). In our scheme, microphone acoustic permissions are granted with three finer policies:treble policy,timbre policyandexclusion policy, with which most of the attacks mentioned above can be defended against. In addition, to ease user’s policy management, we employ a smart policy recommendation method, avoiding additional manual policy approvals. The results in our experiments show that a negligible 1.06 percent performance overhead is incurred during policy enforcement. Besides, the policy recommendation system inFMCpromises an accuracy of 82.82 percent averagely. We believe that our work is a practical defense scheme against attacks exploiting microphone acoustic permissions and should be employed by OS developers. Weili Han, Zhe Zhou 0001, Shize Chen, Lingqi Huang, Xiaoyang Sean Wang |
IEEE Trans. Dependable Secur. Comput. | 5 |