The DOI matches its Crossref record.
Architecture for an Artificial Immune System
Abstract
An artificial immune system (ARTIS) is described which incorporates many properties of natural immune systems, including diversity, distributed computation, error tolerance, dynamic learning and adaptation, and self-monitoring. ARTIS is a general framework for a distributed adaptive system and could, in principle, be applied to many domains. In this paper, ARTIS is applied to computer security in the form of a network intrusion detection system called LISYS. LISYS is described and shown to be effective at detecting intrusions, while maintaining low false positive rates. Finally, similarities and differences between ARTIS and Holland's classifier systems are discussed.
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
Cited by
(2005) · doi:10.1007/0-387-28356-0 · Cited by 853
Survey of network-based defense mechanisms countering the DoS and DDoS problems
Peng, T., Leckie, C., & Ramamohanarao, K. (2007) · ACM Computing Surveys · doi:10.1145/1216370.1216373 · Cited by 759
Data-driven modeling and learning in science and engineering
Montáns, F. J., Chinesta, F., Gómez-Bombarelli, R., & Kutz, J. N. (2019) · Comptes Rendus. Mécanique · doi:10.1016/j.crme.2019.11.009 · Cited by 299
Theoretical advances in artificial immune systems
Timmis, J., Hone, A., Stibor, T., & Clark, E. (2008) · Theoretical Computer Science · doi:10.1016/j.tcs.2008.02.011 · Cited by 295
Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking
Restuccia, F., D'Oro, S., & Melodia, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846040 · Cited by 286
Metadata
- Authors
- Hofmeyr, S. A., & Forrest, S.
- Venue
- Evolutionary Computation
- Publisher
- MIT Press - Journals
- Published
- 2000-12
- Volume
- 8
- Issue
- 4
- Pages
- 443-473
- ISSN
- 1063-6560 (ISSN-L)
- 1530-9304
- OpenAlex
- W2058657545
- Cited by
- 867
- References
- 0
- FWCI
- 25.26
- 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: Architecture for an Artificial Immune System. https://app.cochat.ai/papers/10.1162/106365600568257
- The paper
- Hofmeyr, S. A., & Forrest, S. (2000). Architecture for an Artificial Immune System. Evolutionary Computation. https://doi.org/10.1162/106365600568257
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.
