REVIEW ON COMBINING BIOMETRIC AND BEHAVIORAL AUTHENTICATION TECHNIQUES FOR SECURE MOBILE CLOUD COMPUTING

Arjun Jadhaw, Rahul Sharma
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Abstract

Cloud computing is one of the widely used technology and its use is increasing day by day due to its sharing of services over the internet. The area of concern is its security and privacy issues especially for the smart-phone users. Several security approaches had been introduced to safeguard users from unauthorized access but the security standard with the smart-phone devices are still not up to the mark and uses the typical username and passwords based authentication techniques. This paper is proposing a hybrid authentication approach combining two security modalities i.e. biometric and behavioral keystroke dynamics based user authentication which is designed to provide authentication with the existing username and password along with the biometric and behavioral keystroke dynamics based authentication with the use of biometric fingerprint scanner and keyboard thereby reducing the high cost of additional hardware devices since both are the integral part of the smart-phones these days. This approach will provide a secure access to the smart-phone users for a secure cloud environment efficiently than the existing methods.
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安全移动云计算中生物识别与行为认证技术的结合研究进展
云计算是一种广泛使用的技术,由于其在互联网上的服务共享,其使用日益增加。关注的领域是它的安全和隐私问题,特别是对于智能手机用户。目前已经引入了几种安全方法来保护用户免受未经授权的访问,但智能手机设备的安全标准仍未达到标准,使用的是典型的基于用户名和密码的身份验证技术。本文提出了一种结合两种安全模式的混合认证方法,即基于生物识别和行为击键动力学的用户认证,该方法旨在提供现有用户名和密码的认证,以及使用生物识别指纹扫描仪和键盘的基于生物识别和行为击键动力学的认证,从而降低了额外硬件设备的高成本,因为两者都是系统的组成部分现在的智能手机。该方法将比现有方法更有效地为智能手机用户提供安全的云环境访问。
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