The DOI matches its Crossref record.
Intrusion detection in wireless ad-hoc networks
Abstract
As the recent denial-of-service attacks on several major Internet sites have shown us, no open computer network is immune from intrusions. The wireless ad-hoc network is particularly vulnerable due to its features of open medium, dynamic changing topology, cooperative algorithms, lack of centralized monitoring and management point, and lack of a clear line of defense. Many of the intrusion detection techniques developed on a fixed wired network are not applicable in this new environment. How to do it differently and effectively is a challenging research problem. In this paper, we first examine the vulnerabilities of a wireless ad-hoc network, the reason why we need intrusion detection, and the reason why the current methods cannot be applied directly. We then describe the new intrusion detection and response mechanisms that we are developing for wireless ad-hoc networks.
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
A survey of intrusion detection in Internet of Things
Zarpelão, B. B., Miani, R. S., Kawakani, C. T., & de Alvarenga, S. C. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.02.009 · Cited by 1,022
An intrusion detection system for wireless sensor networks
Onat, I., & Miri, A. (2006) · WiMob'2005), IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, 2005. · doi:10.1109/wimob.2005.1512911 · Cited by 248
Khan, M. I., Foley, S. N., & O’Sullivan, B. (2022) · Communications in Computer and Information Science · doi:10.1007/978-3-030-93956-4_11 · Cited by 10
Metadata
- Authors
- Zhang, Y., & Lee, W.
- Venue
- Proceedings of the 6th annual international conference on Mobile computing and networking
- Publisher
- ACM
- Published
- 2000-08
- Pages
- 275-283
- ISSN
- 1543-5679 (ISSN-L)
- OpenAlex
- W2036358294
- Cited by
- 1,100
- References
- 0
- FWCI
- 19.08
- Type
- conference paper
- 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: Intrusion detection in wireless ad-hoc networks. https://app.cochat.ai/papers/10.1145/345910.345958
- The paper
- Zhang, Y., & Lee, W. (2000). Intrusion detection in wireless ad-hoc networks. Proceedings of the 6th annual international conference on Mobile computing and networking. https://doi.org/10.1145/345910.345958
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.