Demo Data from VLDB 2026 / reviewers in the wild / expert
Irina Ford
dblp:385/6536
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 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 · 67% Usable security · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › vulnerability discovery
human factors in vulnerability discovery |
0.8 | 1 | 2024 | "Watching over the shoulder of a professional": Why Hackers Make Mistakes and How They Fix Them · SP 2024 |
Systems and software security
vulnerability discovery |
0.8 | 1 | 2024 | "Watching over the shoulder of a professional": Why Hackers Make Mistakes and How They Fix Them · SP 2024 |
Methods — techniques the papers use, named apart from their topics
thematic analysis · 0.8screencast analysis · 0.8qualitative study · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | "Watching over the shoulder of a professional": Why Hackers Make Mistakes and How They Fix ThemabstractThe complex and diverse nature of software systems necessitates a careful manual approach to unveil vulnerabilities, involving deep analysis, creative problem-solving, and specialized expertise. Like all complex tasks, it’s susceptible to mistakes stemming from cognitive limitations and behavioral factors that hinder optimal performance. Although there are significant research efforts focused on vulnerability discovery, little attention has been given to comprehending mistakes within the process. Understanding these mistakes could pave the way for better-designed education programs and automated tools, aiming to mitigate and prevent potential mistakes and enhance the efficiency of vulnerability research.In this paper, we leverage social media, specifically YouTube, to examine mistakes made by security content creators exploiting vulnerabilities in CTF-style challenges. Analyzing 30 screencasts from 11 hackers, we identified 124 distinct issues and investigated their types, underlying causes, and time investments. Additionally, we delved into the cognitive and behavioral aspects associated with these issues. Irina Ford, Ananta Soneji, Faris Bugra Kokulu, Jayakrishna Vadayath, Zion Leonahenahe Basque, Gaurav Vipat, Adam Doupé, Ruoyu Wang 0001, Gail-Joon Ahn, Tiffany Bao, Yan Shoshitaishvili |
SP | 1 |