Abstract
Modern life depends on technologies as communication systems and computing, although have also caused the enhancement in data exposure as well as, thus leading to theft of identity. Biometric technologies become the trending solution of such problems and recommended for user authentication. The assessment of possible technologies to be targeted on keystroke dynamics that makes use recognition depending on their typing rhythm. Interactive Internet applications like online blogs have become popular in the past decade. Currently the most common form of malicious exploit and the most difficult to thwart, is the use of automated programs known as bots to automatically perform human tasks on online applications. Bots have been found on a number of online systems, including online blogging and online social networking. Bots exploit these on-line systems to send spam, spread malware, and mount phishing attacks. Software bots which emulate a web browser are often used by criminals to harvest large amounts of data from websites. They can also abuse websites in other ways, such as by mass-posting adverts or malicious links in comment forms or forums, or by placing large numbers of reservations within, say, an airline booking system in order to prevent legitimate customers from making a booking. Software bots are often used for malicious political intensions as well such as spreading a false tweet. The abuse of online services by bots has caused serious damages and posed serious threats to on-line users. So far, the efforts to combat bots have focused on two different approaches as content-based filtering and human interactive proofs (HIPs).

Key words: Keystroke Dynamics, User Authentication, Typing Rhythm, Pattern Recognition, Artificial Intelligence, Machine Learning