Demo Data from EDBT 2026 / reviewers in the wild / expert
Yanchu Li
dblp:248/8005
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0001-9873-1888ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 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 |
Hardware security and side channels · 61% Digital forensics and information hiding · 30% Systems and software security · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware security and side channels › trusted execution environments
ARM TrustZone |
0.6 | 1 | 2022 | TrustSAMP: Securing Streaming Music Against Multivector Attacks on ARM Platform · IEEE Trans. Inf. Forensics Secur. 2022 |
Digital forensics and information hiding
digital rights management |
0.6 | 1 | 2022 | TrustSAMP: Securing Streaming Music Against Multivector Attacks on ARM Platform · IEEE Trans. Inf. Forensics Secur. 2022 |
Hardware security and side channels
trusted execution environments |
0.6 | 1 | 2022 | TrustSAMP: Securing Streaming Music Against Multivector Attacks on ARM Platform · IEEE Trans. Inf. Forensics Secur. 2022 |
Systems and software security › exploitation
physical memory disclosure attack |
0.2 | 1 | 2022 | TrustSAMP: Securing Streaming Music Against Multivector Attacks on ARM Platform · IEEE Trans. Inf. Forensics Secur. 2022 |
Methods — techniques the papers use, named apart from their topics
secure-world proxy · 0.6control-flow and data-flow separation · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | TrustSAMP: Securing Streaming Music Against Multivector Attacks on ARM PlatformabstractStreaming music has dominated the digital music industry in recent years, which allows users to enjoy a huge music library online with a low subscription price. Terminal-side audio DRM (Digital Right Management) is very critical for streaming music industry, compromising of which will cause unrestricted listening, dumping and unauthorized secondary distribution. However, existing DRM protection schemes mainly focus on defeating software attacks but lack complete shielding against the physical memory disclosure attacks, which may even be launched by the owner of the terminal device. In this paper, we propose a terminal-side audio DRM solution called TrustSAMP to protect the copyrighted audio data against both software attacks and physical memory disclosure attacks. The basic idea is to process the audio data plaintext only in certain on-SoC components secured by ARM TrustZone. To minimize the TCB (Trusted Computing Base) of the secure world, we separate the control flow and the data flow of the Linux audio subsystem and port only the codes used for audio data decryption and plaintext transfer into the secure world. Moreover, we leave most driver codes of the audio-associated on-SoC components in the rich OS (i.e., in the normal world), and introduce a tiny proxy in the secure world to control the associated registers according to the requests from the normal-world drivers. The prototype implemented on real hardware shows that TrustSAMP can play a variety of wav-format audio with very small overhead and negligible loss of audio quality. Yanchu Li, Lingguang Lei, Yuewu Wang, Jiwu Jing |
IEEE Trans. Inf. Forensics Secur. | 1 |
| 2019 | OCRAM-Assisted Sensitive Data Protection on ARM-Based Platform
Dawei Chu, Yuewu Wang, Lingguang Lei, Yanchu Li, Jiwu Jing, Kun Sun 0001 |
ESORICS (2) | 4 |