A Hybrid Trusted Computing Framework for Mobile Cloud Computing Using Authentication and Authorization

1.Dr.S.Srinivasu, Associate Professor of Computer Science, Government Degree College, Khairatabad

2. D.Shailaja, Lecturer in Computer Science, Government Degree College, Khairatabad

Abstract

In the recent era, mobile devices' tremendous development motivated user choice from traditional laptops and mobile phones to tablets and smartphones. The mobile technology provides rich applications to end-users with enhanced portability, capacity, long-term evaluation networks, seamless network access, and widespread 3G/4G long-term evaluation networks and WiFi access. Thus, most of the global IP traffic is anticipated by the traffic coming from mobile devices. However, from the computational perspective, mobile devices cannot handle heavy computational overhead as resources constrain them. The design aim of mobile cloud computing (MCC) is to resolve the issues of constrained mobile devices, and recently it has gained significant attention.

A proposed work aims to design the trusted computing environment for MCC by authentication, authorization, and accurate and efficient computing. The proposed work achieves trusted computing by developing a novel hybrid approach, i.e., Efficient Computation, Authentication & Authorization in a Mobile Cloud Environment (ECAAMC). Authentication between communicating entities is accomplished by password-based authenticated key agreement with Chaotic Maps. Authorization among the users is achieved by the role and trust of the users. Further, the computing is enabled by probabilistic unigram computing.

 Performance evaluation of EC-AAMC carried out with real-time data using XAMPP (Cross-Platform, Apache, MySQL, PHP, and Perl). The proposed mechanism significantly outperforms MCC's existing trusted computing mechanisms regarding authentication, authorization, accuracy, and efficiency. The authentication scheme requires only 84.08 ms to perform mutual authentication between communicating entities, and it is also robust to man-in-the-middle attack. The authorization accurately detects and removes malicious users. Further, probabilistic unigram computing extends the computing efficiency.