Enhanced Authentication Method using Keyboard Pattern Based Password Generation

In recent years, network security depends largely on passwords to authenticate the user's data from hackers. The most common computer authentication methods are alphanumerical usernames as passwords. Many real life successful hacking, techniques attempt to enable unauthorized access to sensitive database. To seize password, hackers perform brute-force, dictionary or rainbow table attacks to reveal plaintext passwords. Dictionary attacks are very fast for cracking hashes but their success rate is not sufficient. However there are significant drawbacks in this method, to overcome this problem of security, authentication methods are developed by researchers that use image as password. A novel method that exploits several password patterns which are commonly preferred by users when trying to choose a complex and strong passwords is proposed in this paper. The method uses MD5 algorithm and SHA1 to secure the transaction and generate a random password using PBP technique. In order to analyze and show success rates of this proposed method, cracking tests on real-life leaked password hashes are performed using both traditional dictionary and pattern -based dictionary method. In this proposed method, to identified several patterns are used ten different schemes for securable transactions and communications are used the experimental result shows efficiency of the proposed method