The DOI matches its Crossref record.
The economics of information security investment
Abstract
This article presents an economic model that determines the optimal amount to invest to protect a given set of information. The model takes into account the vulnerability of the information to a security breach and the potential loss should such a breach occur. It is shown that for a given potential loss, a firm should not necessarily focus its investments on information sets with the highest vulnerability. Since extremely vulnerable information sets may be inordinately expensive to protect, a firm may be better off concentrating its efforts on information sets with midrange vulnerabilities. The analysis further suggests that to maximize the expected benefit from investment to protect information, a firm should spend only a small fraction of the expected loss due to a security breach.
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
Goldfarb, A., & Tucker, C. (2019) · Journal of Economic Literature · doi:10.1257/jel.20171452 · Cited by 2,744
Future developments in cyber risk assessment for the internet of things
Radanliev, P., De Roure, D. C., Nicolescu, R., Huth, M., Montalvo, R. M., Cannady, S., & Burnap, P. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.08.002 · Cited by 162
Cybersecurity Hazards and Financial System Vulnerability: A Synthesis of Literature
Uddin, M. H., Ali, M. H., & Hassan, M. K. (2020) · Risk Management · doi:10.1057/s41283-020-00063-2 · Cited by 141
Patel, S. C., Graham, J. H., & Ralston, P. A. S. (2008) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2008.01.009 · Cited by 90
Future developments in standardisation of cyber risk in the Internet of Things (IoT)
Radanliev, P., De Roure, D. C., Nurse, J. R. C., Mantilla Montalvo, R., Cannady, S., Santos, O., Maddox, L., Burnap, P., & Maple, C. (2020) · SN Applied Sciences · doi:10.1007/s42452-019-1931-0 · Cited by 91
Metadata
- Authors
- Gordon, L. A., & Loeb, M. P.
- Venue
- ACM Transactions on Information and System Security
- Published
- 2002-11
- Volume
- 5
- Issue
- 4
- Pages
- 438-457
- ISSN
- 1094-9224 (ISSN-L)
- 1557-7406
- OpenAlex
- W2056075452
- Cited by
- 1,335
- References
- 0
- FWCI
- 47.87
- 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: The economics of information security investment. https://app.cochat.ai/papers/10.1145/581271.581274
- The paper
- Gordon, L. A., & Loeb, M. P. (2002). The economics of information security investment. ACM Transactions on Information and System Security. https://doi.org/10.1145/581271.581274
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.