The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Honeycomb: creating intrusion detection signatures using honeypots
Abstract
This paper describes a system for automated generation of attack signatures for network intrusion detection systems. Our system applies pattern-matching techniques and protocol conformance checks on multiple levels in the protocol hierarchy to network traffic captured a honeypot system. We present results of running the system on an unprotected cable modem connection for 24 hours. The system successfully created precise traffic signatures that otherwise would have required the skills and time of a security officer to inspect the traffic manually.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bro: a system for detecting network intruders in real-time
Paxson, V. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00112-7 · Cited by 2,636
Cited by
Survey of intrusion detection systems: Techniques, datasets and challenges
Khraisat, A., Gondal, I., Vamplew, P., & Kamruzzaman, J. (2019) · Cybersecurity · doi:10.1186/s42400-019-0038-7 · Cited by 2,024
Uncovering social spammers: social honeypots + machine learning
Lee, K., Caverlee, J., & Webb, S. (2010) · Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1835449.1835522 · Cited by 619
Spamming botnets: signatures and characteristics
Xie, Y., Yu, F., Achan, K., Panigrahy, R., Hulten, G., & Osipkov, I. (2008) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1402946.1402979 · Cited by 339
Distributive immunization of networks against viruses using the ‘honey-pot’ architecture
Goldenberg, J., Shavitt, Y., Shir, E., & Solomon, S. (2005) · Nature Physics · doi:10.1038/nphys177 · Cited by 83
Abnormal Behavioral Pattern Detection in Closed-Loop Robotic Systems for Zero-Day Deceptive Threats
Gorbenko, A., & Popov, V. (2020) · 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) · doi:10.1109/icieam48468.2020.9112054 · Cited by 9
Metadata
- Authors
- Kreibich, C., & Crowcroft, J.
- Venue
- ACM SIGCOMM Computer Communication Review
- Published
- 2004-01
- Volume
- 34
- Issue
- 1
- Pages
- 51-56
- ISSN
- 0146-4833 (ISSN-L)
- OpenAlex
- W2033811087
- Cited by
- 523
- References
- 1
- FWCI
- 54.20
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Honeycomb: creating intrusion detection signatures using honeypots. https://app.cochat.ai/papers/10.1145/972374.972384
- The paper
- Kreibich, C., & Crowcroft, J. (2004). Honeycomb: creating intrusion detection signatures using honeypots. ACM SIGCOMM Computer Communication Review. https://doi.org/10.1145/972374.972384
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
