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This thesis is on “Message Confidentiality in Cloud-based Biometric Verification System”
Nowadays, we are talking more and more about insecurity in various sectors as well as the
computer techniques and also mobile technique to be implemented to counter this trend: access
control to computers, e-commerce, banking, etc. There are two old-style ways of identifying an
individual. The first method is a knowledge-based method. It is based on the knowledge of an
individual’s information such as the PIN code to allow him/her to activate a mobile phone. The
second method is based on the possession of the token. It can be a piece of identification, a key, a
badge, etc. These two methods of identification can be used in a complementary way to obtain
increased security like in bank cards. However, they each have their weaknesses. In the first
case, the password can be forgotten or forecast by a third party. In the second case, the badge (or
ID or key) maybe lost or stolen. Cloud-based biometric features are an alternative solution to the
two previous identification modes. The advantage of using biometric features is that they are
all universal, measurable, unique, and permanent. Efficiency/cost reduction. By using cloud
infrastructure, have to spend huge amounts of money on purchasing and maintain kit. The
interest of applications using biometrics can be summed up in two classes: to facilitate the way
of life and to avoid fraud. |
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