Demo Data from VLDB 2026 / reviewers in the wild / expert
Yi Hui Chen
dblp:311/3684
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2022
0000-0003-1588-9108ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 2 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% | |
| Network and information security
1 paper |
Systems and software security · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems
embedded system security |
0.6 | 1 | 2022 | D-Box: DMA-enabled Compartmentalization for Embedded Applications · NDSS 2022 |
Systems and software security › isolation
compartmentalization |
0.2 | 1 | 2022 | D-Box: DMA-enabled Compartmentalization for Embedded Applications · NDSS 2022 |
Systems and software security
memory protection |
0.2 | 1 | 2022 | D-Box: DMA-enabled Compartmentalization for Embedded Applications · NDSS 2022 |
Methods — techniques the papers use, named apart from their topics
hardware isolation · 1.1DMA · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | A Recent Year On the Internet: Measuring and Understanding the Threats to Everyday Internet DevicesabstractAn effective way to improve resilience to cyber attacks is to measure and understand the adversary’s capabilities. Gaining insights into the threats we are exposed to helps us build better defenses, share findings with practitioners, and identify the perpetrators to limit their impact. Honeypot interactions have been widely studied in the past to measure cyber attacks, but the focus of more recent honeypot studies has been on IoT-based threats. Hence, classic threats studied by honeypots in depth a decade ago, such as desktop malware and web threats, have lately received much less attention. Afsah Anwar, Yi Hui Chen, Roy Hodgman, Tom Sellers, Engin Kirda, Alina Oprea |
ACSAC | 2 |
| 2022 | D-Box: DMA-enabled Compartmentalization for Embedded Applications
Alejandro Mera, Yi Hui Chen, Ruimin Sun, Engin Kirda, Long Lu |
NDSS | 2 |