Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Yanchu Li

dblp:248/8005 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Hardware security and side channels › trusted execution environments
ARM TrustZone
0.612022
TrustSAMP: Securing Streaming Music Against Multivector Attacks on ARM Platform · IEEE Trans. Inf. Forensics Secur. 2022
Digital forensics and information hiding
digital rights management
0.612022
TrustSAMP: Securing Streaming Music Against Multivector Attacks on ARM Platform · IEEE Trans. Inf. Forensics Secur. 2022
Hardware security and side channels
trusted execution environments
0.612022
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
0.212022
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
YearPublicationVenuePosition
2022 TrustSAMP: Securing Streaming Music Against Multivector Attacks on ARM Platform
abstract
Streaming 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