Developing password security system by using artificial neural networks in user log in systems

By the developing technology, the virtual world is progressing every day to serve us and we are more being on the social media by this services. We can easily share about our daily lives from our social media accounts. Thanks to mobile banking, even in our houses we can go on banking. And we all believe its safety by using some key combinations that we think they are private. However today all the systems that we use, are providing security by comparing the passwords without differanciating the users. It means that this way is not blocking some malicious people that try to learn our passwords and get enter our systems. It was designed a structure, is unique for each individual in the system that we developed. This system knows the users' keyboard style while typing key combination. Even if someone else tries to log in with your password, system recognizes your personal keyboard style and does not allow to access unless this person is you. In that way no one other than user him/herself can access the system. In this work, user entry system is developed by machine learning by based. Artificial neural networks used in developing this system. The way of user's password entry style is learned, and during login process these stiles are compared besides password matching. Since the user log in system recognizes us that also makes an emotional connection between people and computers.