iWEP: An Intelligent WLAN Early Warning Platform Using Edge Computing
| Autor: | Weitao Wang, Zhixin Ou, Jiayao Wang, Haozhong Qiu, Benyu Wang, Runhao Liu, Qiang Liu |
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| Rok vydání: | 2019 |
| Předmět: |
Dictionary attack
Warning system Handshake Computer science 020207 software engineering 02 engineering and technology Virtualization computer.software_genre Computer security law.invention Security association law 0202 electrical engineering electronic engineering information engineering Wired Equivalent Privacy 020201 artificial intelligence & image processing Wi-Fi computer Edge computing |
| Zdroj: | MSN |
| Popis: | In the last decades, Wireless Local Area Network (WLAN) has been emerging as one of the most prevailing networking architectures. It is expected that current WLAN technologies will further evolve to obtain much higher performance, more energy efficiency and more robustness. However, the WLAN is still prone to a variety of attacks regardless of the existence of data protection and security association mechanisms. They include but not limited to dictionary attacks against the pre-shared secret key of Wi-Fi Protected Access (WPA)/WPA2, the key reinstallation attack (KRACK) against the handshake procedure of WPA2, etc. Although a brand new WPA3 has been recently standardized by Wi-Fi Alliance to address new security threats, it needs a long time to upgrade currently used access points. Hence, there is a significant gap between security and deployment cost. To fill this gap, we design and implement an intellignet WLAN Early warning Platform (iWEP) to provide an early warning service for clients. Specifically, iWEP adopts intelligence algorithms, e.g., machine learning, to provide the capability of defeating existing popular attacks, including Wired Equivalent Privacy (WEP) secret cracking, WPA/WPA2 dictionary attack, Denial-of-Service and KRACK, by handling behaviour features that are extracted from the compromising procedures in real experimental environments. Moreover, iWEP uses edge computing technology to make a good tradeoff between system performance and WLAN security. Finally, we implement a prototype system of iWEP, and the real results demonstrate its effectiveness. |
| Databáze: | OpenAIRE |
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