Enhancing Security and Privacy in Enterprises Network by Using Biometrics Technologies

  • Abdallah Meraoumia
  • Hakim BendjennaEmail author
  • Yahia Dris
  • Mohamed Amroune
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 21)


Of course, in all world countries, commercial and industrial enterprises play an important role in the development of their economics. Recently, the change in enterprise operation mode, such as their activities speed in terms of production and transport, requires integration of these activities into a private and/or public networks structure in order to achieve many benefits such as the time and the cost. So, for an effective development, these enterprises must be connected with them in order to exchange necessary information. Thus, the resultant of this leads to emergence of special structure, called Enterprises Network (EN), which allows such enterprise to more effectively interact with others enterprises inside and outside their activities. The challenges that oppose this structure are the concerns of transmitted data security which are exchanged between them as well as the privacy issues, which ensure the secrecy of enterprise information. In contrast with other approaches presented in literature, a complete biometric cryptosystem is presented. Based on the obtained results, it can be inferred that the proposed authentication system is highly secure, effective and cheap, which are vital for any authentication system to gain enterprise confidence for implementation in real time secure access control systems.



The authors are grateful to the anonymous referees for their valuable and helpful comments. This research has been carried out within the CNEPRU project (Grant: B*02920-140028) of the Department of mathematics and computer sciences, University of Laarbi Tebessi. The authors thank Miss. Wissal Bouakal for her valuable help as well as staff of LAMIS laboratory for helpful comments and suggestions.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Abdallah Meraoumia
    • 1
  • Hakim Bendjenna
    • 1
    Email author
  • Yahia Dris
    • 2
  • Mohamed Amroune
    • 1
  1. 1.LAboratory of Mathematics, Informatics and Systems (LAMIS)University of TebessaTébessaAlgeria
  2. 2.Management Sciences DepartmentUniversity of TebessaTébessaAlgeria

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