Iris Biometric Model for Secured Network Access
暫譯: 虹膜生物識別模型於安全網路存取
Franjieh El Khoury
- 出版商: CRC
- 出版日期: 2017-10-23
- 售價: $2,380
- 貴賓價: 9.5 折 $2,261
- 語言: 英文
- 頁數: 220
- 裝訂: Paperback
- ISBN: 1138198722
- ISBN-13: 9781138198722
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商品描述
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.
商品描述(中文翻譯)
在過去幾年中,生物識別技術已證明其在各個領域提供安全訪問共享資源的能力。此外,軟體代理和多代理系統(MAS)在解決關鍵網路問題方面顯示出其效率。
**虹膜生物識別模型以實現安全網路訪問** 提出了基於虹膜的生物識別方法和使用「Rivest-Shamir-Adleman」(RSA)非對稱加密方法的代理架構的新模型,稱為虹膜加密代理系統(IrisCryptoAgentSystem,ICAS)。該模型專注於生物識別認證的新方法的開發,以提高ICAS模型的效率。它還涵蓋了在開發索引層次結構以分類DRVA虹膜模板時的前拓撲方面。
本書介紹了生物識別系統、密碼學和多代理系統(MAS),並解釋了它們如何用於解決複雜系統中的安全問題。通過整合各種代理的特徵,檢視在多個領域中利用MAS的日益興趣,並解釋生物識別系統、密碼學和MAS的交集如何應用於虹膜識別以實現安全網路訪問。
本書展示了基於五個模擬的虹膜外部和內部邊緣定位的各種傳統方法,並詳細說明了每種方法的有效性。它還改進了現有的虹膜外部和內部邊緣定位方法,以及去除眼瞼干擾效應的方法。