Research on ant colony algorithm in the authentication techniques in wireless networks

Authentication is the primary issue taken into consideration with regards to network security, and is the basis for increasing the practicality of wireless networks. A good authentication system can greatly improve the wireless network's social efficiency and solve security problems, such as identity authentication and privacy issues. Fingerprint identification can be effectively applied in identity authentication, but there is a high rate of false rejection and false acceptance in traditional fingerprint identification methods[1]. An adaptive ant colony algorithm was thus presented in this paper, by which the threshold was set. The image segmentation fingerprint sample images were sent to some blocks in the client, and were sent to the server for matching. The experimental results show that this system can effectively improve the rate of remote fingerprint recognition.