Combined scaled manhattan distance and mean of horner’s rules for keystroke dynamic authentication

Keystroke Dynamic Authentication was an authentication technique that utilized the typing habits of a person as a security measurement tool for the user account. Because of its ease of implementation, many ways can be done to guess passwords from system users such as dictionary attack and brute force attacks [8, 9]. The purpose of KDA is to increase the security of using passwords that have been widely used and handle various account security issues that are often broken into by irresponsible users (hackers or attackers) [3, 6]. Another advantage of KDA is that the characters used in the password do not have to utilize special characters, but can use the alphabet and numeric characters [6, 15]. Because utilizes the KDA method, users who enter into the system will not realize that the system they are using has used the KDA method for their account security. [...]for more details on the methods used, the final results and discussion of this research can be seen in the next chapter. 2.RESEARCH METHOD This research uses Scaled Manhattan Distance [3, 19] combined with Mean of Homer's Rules (MHR) [15].