Iris Biometric Model for Secured Network Access

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A01=Franjieh El Khoury
agent-based authentication
asymmetric
Asymmetric Cryptography
Author_Franjieh El Khoury
Biometric Authentication Method
Biometric Characteristics
biometric data classification
Biometric Signature
biometric systems
Category=UR
Category=UYT
Circular Hough Transform
classification
cryptography
edge
Edge C1
edges
Edges Localization Module
Encrypted Message
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
external
External Edge
eyelid occlusion removal
eyelids
F1 F2 F3
Family F1
hough
internal
Internal Edges
Iris
iris recognition
Left Iris
lower
Lower Eyelids
Ma
MATLAB R2006a
Method M2
Method M5
multi-agent cryptographic authentication systems
multi-agent systems
Multiagent System
network security protocols
pattern recognition algorithms
pretopology
Private Key
Protocol MPLS
Public Key
recognition
RSA encryption methods
Symmetric Cryptography
transform

Product details

  • ISBN 9781138198722
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 23 Oct 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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In the last few years, biometric techniques have proven their ability to provide secure access to shared resources in various domains. Furthermore, software agents and multi-agent systems (MAS) have shown their efficiency in resolving critical network problems.

Iris Biometric Model for Secured Network Access proposes a new model, the IrisCryptoAgentSystem (ICAS), which is based on a biometric method for authentication using the iris of the eyes and an asymmetric cryptography method using "Rivest-Shamir-Adleman" (RSA) in an agent-based architecture. It focuses on the development of new methods in biometric authentication in order to provide greater efficiency in the ICAS model. It also covers the pretopological aspects in the development of the indexed hierarchy to classify DRVA iris templates.

The book introduces biometric systems, cryptography, and multi-agent systems (MAS) and explains how they can be used to solve security problems in complex systems. Examining the growing interest to exploit MAS across a range of fields through the integration of various features of agents, it also explains how the intersection of biometric systems, cryptography, and MAS can apply to iris recognition for secure network access.

The book presents the various conventional methods for the localization of external and internal edges of the iris of the eye based on five simulations and details the effectiveness of each. It also improves upon existing methods for the localization of the external and internal edges of the iris and for removing the intrusive effects of the eyelids.

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