A Survey On Keystroke Authentication By Using Local Search Algorithm
نویسندگان
چکیده
In now a days Password authentication plays a vital role typing biometrics as a transparent layer of user authentication for security. Keystroke authentication provides security to the applications like electronic mail, banking and any other web services etc., There are several types of techniques to protect our passwords but it can be easily hacked by the hackers through so many algorithms. By using keystroke authentication we can provide security to the applications. Our research focuses on by using individual’s typing pattern we can measure the time period between keystrokes. By using the weights of a fully trained Multi Layer Perceptron (MLP) the typing pattern of a particular individual can be represented in the recent .In this paper i want to propose alternate algorithm similar to k-mean algorithm. Each user’s typing pattern can be viewed as a cluster of measurements that can be differentiated from clusters of other users. Keywords—Authentication, eystrokeauthentication, local search algorithm, multilayer perceptron network.
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تاریخ انتشار 2012