VLDB 2026 Research / reviewers in the wild / expert
Peera Yoodee
dblp:207/7198
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
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.
| Software engineering, system software, and programming languages
1 paper |
Program analysis · 50% Empirical software engineering · 50% | |
| Network and information security
1 paper |
Systems and software security · 100% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering › mining software repositories › mobile app analysis
android app analysis |
0.3 | 1 | 2017 | SEALANT: a detection and visualization tool for inter-app security vulnerabilities in Android · ASE 2017 |
Program analysis
static analysis |
0.3 | 1 | 2017 | SEALANT: a detection and visualization tool for inter-app security vulnerabilities in Android · ASE 2017 |
Visualization and visual analytics › visual analytics › visual analysis
security visualization |
0.1 | 1 | 2017 | SEALANT: a detection and visualization tool for inter-app security vulnerabilities in Android · ASE 2017 |
Methods — techniques the papers use, named apart from their topics
visualization · 0.9static analysis · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | SEALANT: a detection and visualization tool for inter-app security vulnerabilities in AndroidabstractAndroid's flexible communication model allows interactions among third-party apps, but it also leads to inter-app security vulnerabilities. Specifically, malicious apps can eavesdrop on interactions between other apps or exploit the functionality of those apps, which can expose a user's sensitive information to attackers. While the state-of-the-art tools have focused on detecting inter-app vulnerabilities in Android, they neither accurately analyze realistically large numbers of apps nor effectively deliver the identified issues to users. This paper presents SEALANT, a novel tool that combines static analysis and visualization techniques that, together, enable accurate identification of inter-app vulnerabilities as well as their systematic visualization. SEALANT statically analyzes architectural information of a given set of apps, infers vulnerable communication channels where inter-app attacks can be launched, and visualizes the identified information in a compositional representation. SEALANT has been demonstrated to accurately identify inter-app vulnerabilities from hundreds of real-world Android apps and to effectively deliver the identified information to users. (Demo Video: https://youtu.be/E4lLQonOdUw) Youn Kyu Lee, Peera Yoodee, Arman Shahbazian, Daye Nam, Nenad Medvidovic |
ASE | 2 |