The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Honeypot trace forensics: The observation viewpoint matters
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Integrity signals
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Claims other papers make about this one
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In the citing paper
“An attacker can gain access to the sensors and/or actuators and modify the software to launch a coordinated attack as reported by Mo et al. [80].”
From Assessing and augmenting SCADA cyber security: A survey of techniques (2017) · cites this paper as [80]
Citations
Cites
Gu, G., Roberto Perdisci, A., Zhang, J., & Lee, W. (2008) · Journal of Bioresource Management · Cited by 1,033
BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic
Gu, G., Zhang, J., & Lee, W. (2008) · CORE Scholar (Wright State University) · Cited by 702
BotHunter: detecting malware infection through IDS-driven dialog correlation
Gu, G., Porras, P. A., Yegneswaran, V., Fong, M. W., & Lee, W. (2007) · Cited by 696
Provos, N. (2004) · Deep Blue (University of Michigan) · Cited by 629
A multifaceted approach to understanding the botnet phenomenon
Abu Rajab, M., Zarfoss, J., Monrose, F., & Terzis, A. (2006) · Proceedings of the 6th ACM SIGCOMM conference on Internet measurement · doi:10.1145/1177080.1177086 · Cited by 595
The Zombie roundup: understanding, detecting, and disrupting botnets
Cooke, E. M., Jahanian, F., & McPherson, D. (2005) · Cited by 489
Measurements and mitigation of peer-to-peer-based botnets: a case study on storm worm
Holz, T., Steiner, M., Dahl, F., Biersack, E. W., & Freiling, F. (2008) · Cited by 383
Peer-to-peer botnets: overview and case study
Grizzard, J. B., Sharma, V., Nunnery, C., Kang, B. B., & Dagon, D. (2007) · Cited by 353
An Advanced Hybrid Peer-to-Peer Botnet
Wang, P., Sparks, S., & Zou, C. C. (2010) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2008.35 · Cited by 333
Measuring and Detecting Fast-Flux Service Networks
Holz, T., Gorecki, C., Rieck, K., & Freiling, F. (2008) · Cited by 321
Research works printed but not linked: 1
- F. Pouget, M. Dacier, Honeypot-based forensics, in: AusCERT2004, AusCERT Asia Pacific Information technology Security Conference 2004, 23rd–27th May 2004, Brisbane, Australia, May 2004.
Cited by
Assessing and augmenting SCADA cyber security: A survey of techniques
Nazir, S., Patel, S., & Patel, D. (2017) · Computers & Security · doi:10.1016/j.cose.2017.06.010 · Cited by 167
Koroniotis, N., Moustafa, N., & Sitnikova, E. (2019) · IEEE Access · doi:10.1109/access.2019.2916717 · Cited by 150
Botnet detection techniques: review, future trends, and issues
Karim, A., Salleh, R., Shiraz, M., Shah, S. A. A., Awan, I. U., & Anuar, N. B. (2014) · Frontiers of Information Technology & Electronic Engineering · doi:10.1631/jzus.c1300242 · Cited by 133
Characterizing Honeypot-Captured Cyber Attacks: Statistical Framework and Case Study
Zhan, Z., Xu, M., & Xu, S. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2279800 · Cited by 126
A survey of botnet detection based on DNS
Alieyan, K., Almomani, A., Manasrah, A. M., & Kadhum, M. M. (2015) · Neural Computing and Applications · doi:10.1007/s00521-015-2128-0 · Cited by 124
Metadata
- Authors
- Pham, V.-H., & Dacier, M.
- Affiliations
- Ho Chi Minh City International University (VN)
- Corresponding author
- Pham, Van-Hau
- ORCID
- Pham, Van-Hau
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2011-05
- Volume
- 27
- Issue
- 5
- Pages
- 539-546
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2070226850
- Cited by
- 35
- References
- 24
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 4 · 2018: 5 · 2017: 4 · 2016: 3 · 2015: 2 · 2014: 3 · 2013: 4 · 2012: 1
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- green
- zenodo.org
- Licence
- other-oa
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Future Generation Computer Systems (publishedVersion)
- Graduate School and Research Center in Digital Science (EURECOM) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Social Sciences › Law › Cybercrime and Law Enforcement Studies
- Keywords
- botnet detection, low-interaction honeypots
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Honeypot trace forensics: The observation viewpoint matters. https://app.cochat.ai/papers/10.1016/j.future.2010.06.004
- The paper
- Pham, V.-H., & Dacier, M. (2011). Honeypot trace forensics: The observation viewpoint matters. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2010.06.004
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.
