Access Control Framework Using Multi-Factor Authentication in Cloud Computing

Author:

Patel Subhash Chandra1,Jaiswal Sumit1,Singh Ravi Shankar1,Chauhan Jyoti2

Affiliation:

1. IIT(BHU), Varanasi, India

2. SRM University NCR Haryana, India

Abstract

The most challenging issues in cloud computing are access control and data security because users of the cloud outsource sensitive data and information to cloud provider servers, which are not within the same trusted domain as the data owner. Within cloud computing, various services and resources need protection from unauthorized use as a part of the security. Authentication is a key technology for information security. In recent years, a lot of research has been carried out throughout the world and several schemes have been proposed to improve authentication in the cloud. Remote authentication is the commonly used method to determine the identity of the remote client. In this article, the authors have proposed a systematic method for authenticating clients, namely by using a password, biometrics, and out-of-band-based access control mechanisms that are suitable for access control. The proposed system involves user ID/password, biometrics characteristics, and a mobile phone as a software token for one-time password generation.

Publisher

IGI Global

Reference32 articles.

1. Aloul, F., Zahidi, S., & El-Hajj, W. (2009). Multi Factor Authentication Using Mobile Phones. International Journal of Mathematics and Computer Science, 4(2), 65–80.

2. Bhargav, S. A., Anna, C. S., & Modi, S. (2007). Privacy Preserving Multi-actor Authentication with Biometrics. Retrieved from www.slideshare.net/bspalabs/2007-privacy-preserving-multifactor-authentication-with-biometrics

3. Cardenas, C. (2013). Cloud Security: The Challenges with Key Management in the Cloud and everywhere else. Academic Press.

4. Chan, W., Leung, E., & Pili, H. (2012). Enterprise Risks Management For Cloud Computing. The Committee of Sponsoring Organizations of the Treadway Commission (COSO).

5. Chien, H. Y., Jan, J. K., & Tseng, Y.M. (2002). An efficient and practical solution to remote authentication: Smart card. Computer Security, 21(4).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3