The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An Overview of IP Flow-Based Intrusion Detection
Open accessAbstract
Intrusion detection is an important area of research. Traditionally, the approach taken to find attacks is to inspect the contents of every packet. However, packet inspection cannot easily be performed at high-speeds. Therefore, researchers and operators started investigating alternative approaches, such as flow-based intrusion detection. In that approach the flow of data through the network is analyzed, instead of the contents of each individual packet. The goal of this paper is to provide a survey of current research in the area of flow-based intrusion detection. The survey starts with a motivation why flow-based intrusion detection is needed. The concept of flows is explained, and relevant standards are identified. The paper provides a classification of attacks and defense techniques and shows how flow-based techniques can be used to detect scans, worms, Botnets and (DoS) attacks.
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Bro: a system for detecting network intruders in real-time
Paxson, V. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00112-7 · Cited by 2,636
A taxonomy of network and computer attacks
Hansman, S., & Hunt, R. (2005) · Computers & Security · doi:10.1016/j.cose.2004.06.011 · Cited by 402
Cited by
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
Buczak, A. L., & Guven, E. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2494502 · Cited by 3,332
A Survey of Deep Learning Methods for Cyber Security
Berman, D. S., Buczak, A. L., Chavis, J. S., & Corbett, C. L. (2019) · Information · doi:10.3390/info10040122 · Cited by 569
Anomaly-Based Intrusion Detection From Network Flow Features Using Variational Autoencoder
Zavrak, S., & Iskefiyeli, M. (2020) · IEEE Access · doi:10.1109/access.2020.3001350 · Cited by 322
Botnet in DDoS Attacks: Trends and Challenges
Hoque, N., Bhattacharyya, D. K., & Kalita, J. K. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2457491 · Cited by 299
From intrusion detection to attacker attribution: A comprehensive survey of unsupervised methods
Nisioti, A., Mylonas, A., Yoo, P. D., & Katos, V. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2854724 · Cited by 212
Metadata
- Authors
- Sperotto, A., Schaffrath, G., Sadre, R., Morariu, C., Pras, A., & Stiller, B.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2010
- Volume
- 12
- Issue
- 3
- Pages
- 343-356
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2171331105
- Cited by
- 466
- References
- 3
- FWCI
- 35.59
- Type
- journal article
- Language
- en
- Open access
- green
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- Sperotto, A., Schaffrath, G., Sadre, R., Morariu, C., Pras, A., & Stiller, B. (2010). An Overview of IP Flow-Based Intrusion Detection. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/surv.2010.032210.00054
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