The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
State of the Practice of Intrusion Detection Technologies
Abstract
Attacks on the nation's computer infrastructures are a serious problem. Over the past 12 years, the growing number of computer security incidents on the Internet has reflected the growth of the Internet itself. Because most deployed computer systems are vulnerable to attack, intrusion detection (ID) is a rapidly developing field. Intrusion detection is an important technology business sector as well as an active area of research. Vendors make many claims for their products in the commercial marketplace so separating hype from reality can be a major challenge. A goal of this report is to provide an unbiased assessment of publicly available ID technology. We hope this will help those who purchase and use ID technology to gain a realistic understanding of its capabilities and limitations. The report raises issues that we believe are important for ID system (IDS) developers to address as they formulate product strategies. The report also points out relevant issues for the research community as they formulate research directions and allocate funds.
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Cites
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Cited by
McHugh, J. (2000) · ACM Transactions on Information and System Security · doi:10.1145/382912.382923 · Cited by 1,309
Self-citationFraud detection system: A survey
Abdallah, A., Maarof, M. A., & Zainal, A. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.04.007 · Cited by 708
An Intrusion Detection System Using a Deep Neural Network With Gated Recurrent Units
Xu, C., Shen, J., Du, X., & Zhang, F. (2018) · IEEE Access · doi:10.1109/access.2018.2867564 · Cited by 339
Metadata
- Authors
- Allen, J., Christie, A., Fithen, W., McHugh, J., & Pickel, J.
- Publisher
- Defense Technical Information Center
- Published
- 2000-01-01
- OpenAlex
- W1543152427
- Cited by
- 347
- References
- 39
- Type
- report
- Language
- en
- Open access
- closed
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