Demo Data from VLDB 2026 / reviewers in the wild / expert
Paolo Soto
dblp:24/6698
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 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 |
Network security · 81% Security and privacy of machine learning · 19% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › intrusion detection and prevention
intrusion detection |
0.0 | 1 | 2002 | Mimicry attacks on host-based intrusion detection systems · CCS 2002 |
Security and privacy of machine learning › adversarial attack
evasion attack |
0.0 | 1 | 2002 | Mimicry attacks on host-based intrusion detection systems · CCS 2002 |
Network security › attack strategy › active attack
mimicry attack |
0.0 | 1 | 2002 | Mimicry attacks on host-based intrusion detection systems · CCS 2002 |
Methods — techniques the papers use, named apart from their topics
theoretical security framework · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Mimicry attacks on host-based intrusion detection systemsabstractWe examine several host-based anomaly detection systems and study their security against evasion attacks. First, we introduce the notion of a mimicry attack, which allows a sophisticated attacker to cloak their intrusion to avoid detection by the IDS. Then, we develop a theoretical framework for evaluating the security of an IDS against mimicry attacks. We show how to break the security of one published IDS with these methods, and we experimentally confirm the power of mimicry attacks by giving a worked example of an attack on a concrete IDS implementation. We conclude with a call for further research on intrusion detection from both attacker's and defender's viewpoints. David A. Wagner 0001, Paolo Soto |
CCS | 2 |