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

机译:在用户登录系统中使用人工神经网络开发密码安全系统

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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.
机译:通过不断发展的技术,虚拟世界每天都在为我们提供服务,并且通过这种服务,我们正越来越多地出现在社交媒体上。我们可以从社交媒体帐户轻松分享我们的日常生活。借助移动银行,即使在我们家中,我们也可以继续进行银行业务。而且我们所有人都通过使用一些我们认为它们是私人的密钥组合来相信其安全性。但是,如今,我们使用的所有系统都通过比较密码而不区分用户来提供安全性。这意味着这种方式不会阻止某些试图学习我们的密码并进入我们的系统的恶意软件。它被设计为一种结构,对于我们开发的系统中的每个人来说都是唯一的。该系统在键入组合键时知道用户的键盘样式。即使其他人尝试使用您的密码登录,系统也会识别您的个人键盘样式,除非该人是您,否则不允许访问。这样,用户以外的其他人都无法访问系统。在这项工作中,用户输入系统是通过基于机器学习的方式开发的。用于开发此系统的人工神经网络。学习了用户密码输入方式的方式,并且在登录过程中除了密码匹配之外还比较了这些阶梯。由于用户登录系统识别出我们,这也使人与计算机之间建立了情感联系。

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