The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks
Abstract
Distributed Denial of Service (DDoS) flooding attacks are one of the biggest concerns for security professionals. DDoS flooding attacks are typically explicit attempts to disrupt legitimate users' access to services. Attackers usually gain access to a large number of computers by exploiting their vulnerabilities to set up attack armies (i.e., Botnets). Once an attack army has been set up, an attacker can invoke a coordinated, large-scale attack against one or more targets. Developing a comprehensive defense mechanism against identified and anticipated DDoS flooding attacks is a desired goal of the intrusion detection and prevention research community. However, the development of such a mechanism requires a comprehensive understanding of the problem and the techniques that have been used thus far in preventing, detecting, and responding to various DDoS flooding attacks. In this paper, we explore the scope of the DDoS flooding attack problem and attempts to combat it. We categorize the DDoS flooding attacks and classify existing countermeasures based on where and when they prevent, detect, and respond to the DDoS flooding attacks. Moreover, we highlight the need for a comprehensive distributed and collaborative defense approach. Our primary intention for this work is to stimulate the research community into developing creative, effective, efficient, and comprehensive prevention, detection, and response mechanisms that address the DDoS flooding problem before, during and after an actual attack.
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Cites
Distributed denial of service attacks
Lau, F., Rubin, S. H., Smith, M. H., & Trajkovic, L. (2002) · SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166) · doi:10.1109/icsmc.2000.886455 · Cited by 582
Cited by
Survey of intrusion detection systems: Techniques, datasets and challenges
Khraisat, A., Gondal, I., Vamplew, P., & Kamruzzaman, J. (2019) · Cybersecurity · doi:10.1186/s42400-019-0038-7 · Cited by 2,024
Koroniotis, N., Moustafa, N., Sitnikova, E., & Turnbull, B. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.05.041 · Cited by 1,983
Osanaiye, O., Choo, K.-K. R., & Dlodlo, M. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.01.001 · Cited by 319
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
Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking
Restuccia, F., D'Oro, S., & Melodia, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846040 · Cited by 286
Metadata
- Authors
- Zargar, S. T., Joshi, J., & Tipper, D.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2013
- Volume
- 15
- Issue
- 4
- Pages
- 2046-2069
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2162969618
- Cited by
- 1,396
- References
- 1
- FWCI
- 117.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zargar, S. T., Joshi, J., & Tipper, D. (2013). A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/surv.2013.031413.00127
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