Accessibility Evaluation in Biometric Hybrid Architecture for Protecting Social Networks Using Colored Petri Nets
Publish place: Journal of Advances in Computer Research، Vol: 10، Issue: 1
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JACR-10-1_005
تاریخ نمایه سازی: 20 آذر 1398
Abstract:
In the last few decades, technological progress has been made important information systems that require high security, Use safe and efficient methods for protecting their privacy. It is a major challenge to Protecting vital data and the ability to threaten attackers. And this has made it important and necessary to be sensitive to the authentication and identify of individuals in confidential network systems. In this paper, a method is presented for protecting privacy in social networks with a hybrid biometric architecture. In the proposed method, was used to the combination of biometric indexes of fingerprints and iris effect to maintain confidentiality in user access and authentication. Also, to demonstrate the availability of the method, an accurate evaluation is made by creating a model that is implemented with the help of integrated modeling language and colored petri nets with strong mathematical backing. The results indicate improved access and privacy with high confidentiality
Keywords:
Authors
Navid Rafizadeh Shotorbani Fard
Department of Computer Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran
Hasan Hosseinzadeh
Department of Mathematics, Ardabil Branch, Islamic Azad University, Ardabil, Iran
Masoud Bekravi
Department of Computer Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran