Website authentication has started and developed in 1995. When people started to use the internet for shopping, sending emails, managing account, etc... Internet plays a basic role in every in life's domain people use it in different ways. Meanwhile the usage of the internet was monopolized for the educated people and the industrialists whom used it to send emails or to do researches that support their own queries. Developing the applications and the projects that depend on the internet went simultaneously with the development of hacking tools and the different ways of stealing accounts, credit cards' number and users' confidential information, unfortunately, these thefts led to many problems and risks. The statistical analysis shows more than 3.5 million victim of hacking each year in the United states, alone. Website authentication is an important thing to protect the important information for internet users who use a web server to reach/access the information and the sources; it also offers a secure background, which could be trusted while dealing with these sites. Authentication is the first step of protecting data. The objective of this project is to develop a security system which integrates some face detection algorithms that rely on many common classification algorithms combined with fleet password typing to confirm users' legality (authentication) access to websites and related services for the purpose of increasing the security levels of special websites, moneychanger machines and other services which are offered and protected by websites. Recognizing security penetrators by feature extraction took the first place because of the numerical gabs. The password-typing fleetness would has an extensive effect on authenticating amelioration and reduce the unfavorable negatives. By applying this integration, I am seeking to reach future results that provide more assurances about the user if he/she is a penetrator or not in order to generalize his/her photo on the specialized security centers.
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