Enhancing the Security Levels in WLAN via Novel IBSPS

Abstract

Need of wireless technology increasing day to day due to the rapid development in information and communications technology. Threats and attacks are also growing in accordance with the increment in the usage of wireless communication technology. Especially Wireless Local Area Networks (WLAN) are less sensitive to the security attacks. This work combines the image processing and speech processing techniques. This work introduces Improved Bio-cryptic security aware packet scheduling (IBSPS) algorithm to enhance security levels in WLAN. To strengthen the authentication mechanism this work replaces the existing Enhanced Bio-cryptic security packet scheduling algorithm (EBSPS) with the IBSPS algorithm. In addition biometric encryption of features like finger print, Iris, Palm print and Face. IBSPS adds one more bio-cryptic security in the form of human voice as security level. Simulation were made on Matlab software and results prove that the proposed IBSPS security is stronger than the existing EBSPS and Bio-cryptic security aware packet scheduling (BSPS). © Springer International Publishing Switzerland 2014.