Demo Data from EDBT 2026 / reviewers in the wild / expert
Jesus Molina
dblp:73/114
· DBLP profile ↗
4ranked-venue papers
2as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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.
| Network and information security
1 paper |
Systems and software security · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Hardware reliability and fault tolerance · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › operating system security › kernel security
kernel integrity monitoring |
0.0 | 1 | 2004 | Copilot - a Coprocessor-based Kernel Runtime Integrity Monitor · USENIX Security Symposium 2004 |
Methods — techniques the papers use, named apart from their topics
coprocessor monitoring · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Evaluating Files to Audit for Detecting Intrusions in FileSystem DataabstractMonitoring filesystem data is a common method used to detect intrusions. Once a computer is compromised, an attacker may alter files, add new files or delete existing files. The changes that attackers make may target any part of the filesystem, including metadata along with files (e.g., permissions, ownerships and inodes). The accuracy of detecting an intrusion depends on the data audited: if an intrusion does not manifest in the data, the intrusion will not be detected. Moreover, not all files, which contain filesystem activity, are suitable to detect intrusions, as some may fail to provide useful information. In this paper, we describe an empirical study that focused on filesystem attack activity after a SSH compromise. Three types of attacker action are considered: reconnaissance, password modification, and malware download. For each type of action, we evaluated the files to audit using metrics derived from the field of information theory and estimated with the empirical SSH compromise data. Jesus Molina, Michel Cukier |
NCA | 1 |
| 2004 | Wireless WalletabstractWe present a framework for agreements in pervasive environments called the Universal Pervasive Transaction Framework (UPTF) for parties transacting in wireless insecure environments using mobile devices. We discuss one type of such agreement with commercial interest, namely mobile payments from a payer to a payee. We have implemented two complete systems for purchasing and payment with mobile devices utilizing UPTF. The first introduces a special purpose, new mobile device called the Universal Pervasive Transaction Device (UPTD) and the second utilizes J2ME-capable mobile phones. Yannis Labrou, Jonathan R. Agre, Lusheng Ji, Jesus Molina, Wei-lun Chen |
MobiQuitous | 4 |
| 2004 | Copilot - a Coprocessor-based Kernel Runtime Integrity Monitor
Nick L. Petroni Jr., Timothy Fraser, Jesus Molina, William A. Arbaugh |
USENIX Security Symposium | 3 |
| 2002 | Using Independent Auditors as Intrusion Detection Systems
Jesus Molina, William A. Arbaugh |
ICICS | 1 |