International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Improved User Privacy in SocialNetworks Based on Hash Function

  • Alrwuili, Kawthar (Department of computer Science, College of Computer and Information Sciences, Jouf University) ;
  • Hendaoui, Saloua (Department of computer Science, College of Computer and Information Sciences, Jouf University)
  • Received : 2021.12.05
  • Published : 2022.01.30
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Abstract

In recent years, data privacy has become increasingly important. The goal of network cryptography is to protect data while it is being transmitted over the internet or a network. Social media and smartphone apps collect a lot of personal data which if exposed, might be damaging to privacy. As a result, sensitive data is exposed and data is shared without the data owner's consent. Personal Information is one of the concerns in data privacy. Protecting user data and sensitive information is the first step to keeping user data private. Many applications user data can be found on other websites. In this paper, we discuss the issue of privacy and suggest a mechanism for keeping user data hidden in other applications.

Keywords

Acknowledgement

The authors would like to thank the Deanship of Graduate Studies at Jouf University for funding and supporting this research through the initiative of DGS, Graduate Students Research Support (GSR) at Jouf University, Saudi Arabia.

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