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Paolo Soto

dblp:24/6698 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Network security › intrusion detection and prevention
intrusion detection
0.012002
Mimicry attacks on host-based intrusion detection systems · CCS 2002
Security and privacy of machine learning › adversarial attack
evasion attack
0.012002
Mimicry attacks on host-based intrusion detection systems · CCS 2002
Network security › attack strategy › active attack
mimicry attack
0.012002
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
YearPublicationVenuePosition
2002 Mimicry attacks on host-based intrusion detection systems
abstract
We 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
CCS2