TY - GEN
T1 - Utilising fuzzy logic to improve Wi-Fi security
AU - Naqvi, Ali
PY - 2013
Y1 - 2013
N2 - The imperative aspect for any wireless network node is to know the authenticity of its association. Any rogue node associations can seriously compromises, not only the wireless node, but the entire wireless network as well. Many researchers have proposed protocols to overcome this issue. However, these protocols do not effectively solve the rogue network issue. Henceforth, we propose the Security Swarm Wireless Access Algorithm which is a functional layer model that utilizes fuzzy logic. Our algorithm improves the security of the wireless associations of a node in a rogue node scenario.
AB - The imperative aspect for any wireless network node is to know the authenticity of its association. Any rogue node associations can seriously compromises, not only the wireless node, but the entire wireless network as well. Many researchers have proposed protocols to overcome this issue. However, these protocols do not effectively solve the rogue network issue. Henceforth, we propose the Security Swarm Wireless Access Algorithm which is a functional layer model that utilizes fuzzy logic. Our algorithm improves the security of the wireless associations of a node in a rogue node scenario.
UR - http://handle.uws.edu.au:8081/1959.7/541887
U2 - 10.1109/ICTKE.2013.6756275
DO - 10.1109/ICTKE.2013.6756275
M3 - Conference Paper
SN - 9781479922574
BT - Proceedings: 2013 Eleventh International Conference on ICT and Knowledge Engineering (ICT and KE 2013), November 20-22, 2013, Bangkok, Thailand
PB - Siam University
T2 - International Conference on ICT and Knowledge Engineering
Y2 - 20 November 2013
ER -