UNMASKING WI-FI MISUSE: FORENSIC STRATEGIES FOR IEEE 802.11 NETWORKS
Выявление неправомерного использования Wi‑Fi: криминалистические стратегии для сетей IEEE 802.11
2026-01-16
SCID: 54.1/ndb8xfv2
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IEEE 802.11 networksMAC address randomizationProtected Management FramesWi-Fi forensicswireless evidence acquisition
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Abstract (AI)
IEEE 802.11 is the dominant technology for wireless local area networking across consumer, enterprise, and embedded domains.Contemporary deployments incorporate WPA3, Protected Management Frames (PMF), and increasingly strict privacy controls such as MAC address randomization-factors that complicate attribution and evidence collection compared to legacy WLANs.This paper foregrounds these modern constraints and presents a practitioner-oriented methodology for acquiring, preserving, and analyzing wireless evidence that remains forensically sound and legally defensible.We synthesize live and post-event techniques, discuss capture strategies and tooling, enumerate device-specific artifacts, and provide a comparative analysis of legacy vs. modern WLAN forensics.Our framing builds on prior work that systematized Wi-Fi misuse categories and evidence sources, extending it for today's encrypted and privacy-preserving environments [4]-[6].
Key Findings
1
A comparative analysis distinguishes forensic challenges and evidence sources in legacy versus modern WLAN environments.
2
Modern IEEE 802.11 deployments using WPA3, Protected Management Frames, and MAC address randomization complicate attribution and wireless evidence collection compared with legacy WLANs.
3
The methodology integrates live and post-event forensic techniques, capture strategies, tooling, and device-specific artifact analysis.
4
The paper presents a practitioner-oriented methodology for acquiring, preserving, and analyzing wireless evidence in a forensically sound and legally defensible manner.
5
The work extends prior classifications of Wi-Fi misuse and evidence sources to encrypted and privacy-preserving wireless networks.
Research Object
Modern IEEE 802.11 wireless local area networks, including WPA3-, PMF-, and MAC-randomization-enabled deployments
Research Subject
Forensically sound and legally defensible acquisition, preservation, attribution, and analysis of wireless evidence under encryption and privacy constraints
Publication Details
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2026-01-16
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