EDBT 2026 Demo / reviewers in the wild / expert
Nicholas Wei
dblp:315/9005
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-4187-2660ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 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 |
Systems and software security · 50% Hardware security and side channels · 50% |
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 | SchrodinText: Strong Protection of Sensitive Textual Content of Mobile Applications · IEEE Trans. Mob. Comput. 2022 |
Systems and software security
operating system security |
0.6 | 1 | 2022 | SchrodinText: Strong Protection of Sensitive Textual Content of Mobile Applications · IEEE Trans. Mob. Comput. 2022 |
Systems and software security › trusted computing
TCB minimization |
0.6 | 1 | 2022 | SchrodinText: Strong Protection of Sensitive Textual Content of Mobile Applications · IEEE Trans. Mob. Comput. 2022 |
Hardware security and side channels
trusted execution environments |
0.6 | 1 | 2022 | SchrodinText: Strong Protection of Sensitive Textual Content of Mobile Applications · IEEE Trans. Mob. Comput. 2022 |
Methods — techniques the papers use, named apart from their topics
virtualization · 0.6oblivious rendering · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | SchrodinText: Strong Protection of Sensitive Textual Content of Mobile ApplicationsabstractMany mobile applications deliver and showsensitive and private textual contentto users including messages, social network posts, account information, and verification codes. All such textual content must be displayed to users but must be strongly protected from unauthorized access in mobile devices. Unfortunately, this is not the case in mobile devices today: malware that can compromise the OS can easily access textual content of other applications. We present SchrodinText, a system solution for strongly protecting the confidentiality of an application's selected UI textual content from a fully compromised OS. SchrodinText leverages a novel security monitor based on two hardware features on ARM processors: virtualization hardware and TrustZone. Our key contribution is a set of novel techniques that allow the OS to perform text rendering without needing access to the text itself, hence minimizing the trusted computing base (TCB). These techniques, collectively calledoblivious rendering, enable the OS to rasterize and lay out all the characters without access to the text; the monitorresolvesthe right character glyphs onto the framebufferobservedby the user and protects them from the OS. Using our prototypes, we show that SchrodinText incurs noticeable overhead but that its performance is usable. Nicholas Wei, Ardalan Amiri Sani |
IEEE Trans. Mob. Comput. | 1 |