Abstract:
Nowadays, Wireless Local Area Network
(WLAN) is widely used because of mobility and ease
of placement. The rapid growth in the use of wireless
networks attracts the attackers as a target. Link layer
is the weakness link among OSI model because of
unprotected management frames. Wireless link layer
is not covered by the current standard for WLAN
networks leading to many potential attacks. A
framework that can able to detect link layer attacks
in wireless network is proposed. The aim of this
proposed framework is to implement a wireless
network security system which can detect link layer
attacks and to understand the patterns of this attacks.
The proposed Detection Link Layer Algorithm
(DLLA) will detect wi-fi deauthentication attack by
using both active and passive fingerprinting methods
and implement with the Network Simulator 2 (NS2)
tool. This proposed framework will be set-up and
deploy in Kali Linux with Python network
programming.
