The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Empirical Evaluation of Attacks Against IEEE 802.11 Enterprise Networks: The AWID3 Dataset
Open accessAbstract
This work serves two key objectives. First, it markedly supplements and extends the well-known AWID corpus by capturing and studying traces of a wide variety of attacks hurled in the IEEE 802.1X Extensible Authentication Protocol (EAP) environment. Second, given that all the 802.11-oriented attacks have been carried out when the defenses introduced by Protected Management Frames (PMF) were operative, it offers the first to our knowledge full-fledged empirical study regarding the robustness of the IEEE 802.11w amendment, which is mandatory for WPA3 certified devices. Under both the aforementioned settings, the dataset, and study at hand are novel and are anticipated to be of significant aid towards designing and evaluating intrusion detection systems. Moreover, in an effort to deliver a well-rounded dataset of greater lifespan, and under the prism of an attacker escalating their assault from the wireless MAC layer to higher ones, we have additionally included several assaults that are common to IEEE 802.3 networks. Since the corpus is publicly offered in the form of raw cleartext pcap files, future research can straightforwardly exploit any subset of features, depending on the particular application scenario.
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“Therefore, attackers can assemble beacon frames themselves, send malicious beacon frames to a device, and define the wake-up cycle to be very short so that the device wakes up frequently, thus speeding up the battery loss of class B devices [64].”
From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [64]
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Citations
Cites
Dragonblood: Analyzing the Dragonfly Handshake of WPA3 and EAP-pwd
Vanhoef, M., & Ronen, E. (2020) · 2020 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp40000.2020.00031 · Cited by 179 · cited 1×
“Recall that contributions on the security of WPA3, including those in [43]–[45] are intentionally left out as the respective attacks have not been included in the current dataset.”
Background
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Cited by
A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
Sun, P., Shen, S., Wan, Y., Wu, Z., Fang, Z., & Gao, X.-Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3372518 · Cited by 172
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions
Hafi, H., Brik, B., Frangoudis, P. A., Ksentini, A., & Bagaa, M. (2024) · IEEE Access · doi:10.1109/access.2024.3351600 · Cited by 90
Metadata
- Authors
- Chatzoglou, E., Kambourakis, G., & Kolias, C.
- Affiliations
- University of the Aegean (GR)
- Joint Research Centre (IT)
- University of Idaho (US)
- Venue
- IEEE Access
- Published
- 2021
- Volume
- 9
- Pages
- 34188-34205
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3132842072
- Cited by
- 123
- References
- 1
- Citations by year
- 2026: 21 · 2025: 35 · 2024: 30 · 2023: 20 · 2022: 13 · 2021: 4
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Networks and Protocols
- Physical Sciences › Computer Science › Artificial Intelligence › Adversarial Robustness in Machine Learning
- Keywords
- IEEE 802.1X, Extensible Authentication Protocol, WPA3, wireless network security, intrusion detection systems, MAC layer attacks, attack traces
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