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  • 标题:Face Recognition Based Website Authentication Using Deep Learning Approaches
  • 本地全文:下载
  • 作者:Mohamad Amir Dliwati ; Dinesh Kumar ; Chandan Srivastava
  • 期刊名称:International Journal of Early Childhood Special Education
  • 电子版ISSN:1308-5581
  • 出版年度:2022
  • 卷号:14
  • 期号:5
  • 页码:4553-4562
  • DOI:10.9756/INTJECSE/V14I5.547
  • 语种:English
  • 出版社:International Journal of Early Childhood Special Education
  • 摘要:When the internet became available to everyone and in every house, a big problem started to reveal for us, "The Information" The Internet gave us access to almost everything, but in return it allowed everyone to reach us as well. With the development of applications and projects that run and work on the Internet, hackers developed their tools to break through privacy and reach our data to steal bank accounts, credit card numbers, and all Personal data available on our computers. As we know, access to the Internet was not available to everyone, as it was restricted to a certain segment of users, such as governments, companies, and commercial and industrial activities. Later, the Internet changed the way people communicate with each other, the way we explore the world, and the way we organize and run our businesses. From this point, governments and companies have begun working on making the internet available to everyone and everywhere. From this point, the importance and security for websites Applications and providing the users for protecting their data and their privacy, but we do not forget that authentication is the first step for protecting and encrypting our data resources. That gives the client comfortable and security when using these websites. This paper will discuss developing a security system that combines face recognition algorithms that are based on deep learning techniques by hyperparameters such as (Adam) for authenticating websites. Therefore, face recognition became the most important technique for identifying hackers. By applying algorithms integration, our research aims to obtain faster, more accurate, and safer results to determine the identity of the user, and whether he is making a security breach or not, and if it is identified as a threat, his image is circulated to the concerned security centers to take the necessary measures.
  • 关键词:Deep Learning;Face Detection;Classification Algorithms;Website Authentication;Features Extraction
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