Honeypots: catching the insider threat
By L. Spitzner. 19th Annual Computer Security Applications Conference, 2003. Proceedings., 2003
423 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/a5fbd85f4152fcc06a5e17c5ff562a2249fc2aae
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Max Mühlhäuser
- Salvatore J. Stolfo
- Shankar Karuppayah
- Emmanouil Vasilomanolakis
- Mathias Fischer
- Pavel Laskov
- Konrad Rieck
- Marius Kloft
In Computer Networks and Communications
- Max Mühlhäuser
- Salvatore J. Stolfo
- Shankar Karuppayah
- Emmanouil Vasilomanolakis
- Mathias Fischer
- Pavel Laskov
- Konrad Rieck
- Marius Kloft
Citations in the corpus
- Enterprise data breach: causes, challenges, prevention, and future directions (2017, background): “(cid:129) Instead of trying to identify the presence of sensitive content, on the contrary, context-based approaches 7,8,31 – 35 mainly perform contextual analysis of the meta information associated with the monitored data or context surrounding the data.”
- Taxonomy and Survey of Collaborative Intrusion Detection (2015, background): “However, usually, this comes at the cost of a high false-positive rate, whereas a signature-based detection usually results in more false negatives . value lies in being probed, attacked, or compromised [ Spitzner 2003].”
- A Survey of Insider Attack Detection Research (2008, background): “A honeytoken is ‘information that the user is not authorized to have or information that is inappropriate’ [32].”