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Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks
Adrian Carballal1, J Pablo Galego-Carro2, Nereida Rodriguez-Fernandez3
1Department of Computer Science and Information Technologies, Faculty of Computer Science, CITIC-Research Center of Information and Communication Technologies, Universidade da Coruña, A Coruña, A Coruña, Spain.
This study analyzed Wi-Fi access point security in A Coruña, identifying password patterns across WEP, WPA, and WPA2 protocols. Findings inform enhanced network security strategies and password cracking techniques.
Area of Science:
- Computer Science
- Cybersecurity
- Network Security
Background:
- Wi-Fi networks are ubiquitous, posing potential security risks.
- Understanding Wi-Fi access point vulnerabilities is crucial for network security.
- Previous research has explored Wi-Fi security but lacks localized, pattern-based analysis.
Purpose of the Study:
- To assess the security of Wi-Fi access points in the A Coruña metropolitan area.
- To identify common password patterns in WEP, WPA, and WPA2 networks.
- To develop a more efficient password cracking dictionary based on geographical and owner-specific data.
Main Methods:
- Utilized a tool for collecting auditable Wi-Fi network data (location, signal strength, security protocol, clients).
- Employed Hashcat for password recovery attacks (dictionary, brute force) on captured Wi-Fi handshakes.
- Developed a heat map to visualize access point coverage and signal strength.
- Created a contextualized grammar for a minimized, unified password dictionary.
Main Results:
- Password patterns were identified across different Wi-Fi security protocols.
- The study demonstrated the effectiveness of targeted dictionary attacks.
- A heat map provided insights into Wi-Fi signal coverage and access point distribution.
- A novel contextualized grammar was proposed for improved password decryption efficiency.
Conclusions:
- Wi-Fi security in A Coruña exhibits identifiable password patterns exploitable through advanced techniques.
- Contextualized password dictionaries offer a more efficient approach to network security analysis.
- The findings contribute to a deeper understanding of Wi-Fi vulnerabilities and mitigation strategies.
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