期刊名称:International Journal of Computer Science and Network Security
印刷版ISSN:1738-7906
出版年度:2009
卷号:9
期号:12
页码:49-54
出版社:International Journal of Computer Science and Network Security
摘要:Wireless networks are becoming a key technology for ubiquitous broadband access, through city wide blanket Wi-Fi coverage or dense enterprise Wi-Fi deployments. Securing such wireless networks poses distinctive research challenges. A larger number of organizations, based on vendor literature, think that the security provided at their deployed wireless access points is adequate to prevent unauthorized access and use. Unfortunately, this is far from truth. The current security mechanisms provided at access points are vulnerable to attacks and pose huge threats to the integrity of the network. Our approach describes about securing of wireless networks by the cognitive neural network approaches in which, the users are uniquely identified using their respective Physical Architecture Description Layer (PADL) attributes.