Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 848

The DOI matches its Crossref record.

Computer immunology

Open access
Forrest, Stephanie, Hofmeyr, Steven A., Somayaji, Anil·1997·Communications of the ACM

Abstract

Natural immune systems protect animals from dangerous foreign pathogens, including bacteria, viruses, parasites, and toxins. Their role in the body is analogous to that of computer security systems in computing. Although there are many differences between living organisms and computers, the similarities are compelling and could point the way to improved computer security. Improvements can be achieved by designing computer immune systems with some of the important properties of natural immune systems, including multilayered protection, highly distributed detector. The computer security problem is difficult. There are many legitimate changes to self, like new users and new programs, and many paths of intrusion, and the periphery of a networked computer is less clearly defined than the periphery of an individual animal. Firewalls attempt to construct such a periphery, often with limited success. As an initial step toward defining self in a realistic computing environment, programmers are developing an intrusion-detection system for networked computers. Discrimination must be based on some characteristic structure that is both compact and universal in the protected system. INSET: A Database of Normal Patterns.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/262793.262811

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 848

Metadata

Authors
Forrest, S., Hofmeyr, S. A., & Somayaji, A.
Venue
Communications of the ACM
Published
1997-10
Volume
40
Issue
10
Pages
88-96
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
OpenAlex
W2338717024
Cited by
848
References
0
FWCI
16.20
Type
journal article
Language
en
Open access
bronze

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: Computer immunology. https://app.cochat.ai/papers/10.1145/262793.262811
The paper
Forrest, S., Hofmeyr, S. A., & Somayaji, A. (1997). Computer immunology. Communications of the ACM. https://doi.org/10.1145/262793.262811

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.