User policy oriented secured service framework for the cloud environment

Abstract

Data communication has become simple and efficient during the last three decades due to the rapid advancements in information technology. The development of Cloud computing makes it easier by facilitating large volume of data exchange among users anytime, anywhere in the world. E-businesses are successfully running today due to the development of Cloud computing technology. Cloud services provide extensive support to share the data and resources efficiently with optimal cost. However, privacy and security are essential for Cloud users and services. A secured and privacy preserving framework for Cloud is proposed as part of this research work. Providing policy oriented secured service in Cloud by using various classical cryptographic algorithms and access control mechanisms is an important contribution of this Thesis. Seven strategies are proposed in this Thesis, to provide privacy preserving policy oriented services in the Cloud. The proposed strategies include Trust Aware Policy Scheduling Algorithm, Spatio-Temporal Petri-net Privacy Preserving Algorithm Framework (STPPPA), Intelligent Spatio-Temporal Role Based Access Control (ISTRBAC) Algorithm, Dynamic Trusted Temporal and Role Based Access Control (DTRBAC) algorithm, Triple-DES and Modified AES based Secured Storage and Retrieval Algorithm (TDES-MASRA). The proposed policy oriented secured service model provides secured services in Cloud. The proposed model is the combination of a trust aware policy scheduling algorithm and an effective and intelligent reencryption scheme. A dynamic trust aware policy oriented service is developed for allocating the services to user-requests that are accepted by the Cloud Service Provider. An effective re-encryption scheme is also used for storing the data in the Cloud database in a secured manner. The propose Spatio-Temporal Petri-net Privacy Preserving Algorithm Framework (STPPPA) provides consistent and seamless security services using Cloud. The proposed method collaborates and interacts with Spatio-Temporal based Location aware Privacy Preserving Cohesion Method (STLPPCM) to validate and adapt data privacy. It provides the facility for storing the data in the Cloud database and also to authenticate the Cloud users by verifying their login credentials. The execution cost of the proposed model is competitively less by 2.4% this is due to the use of effective Dynamic Trust Modeling. The response time is reduced to two nano seconds when number of users is increased. Execution cost of the proposed Secured Policy Oriented Service using the Circular FCFS dynamic trust mechanism is minimized by 8%. The proposed Spatio-Temporal based Location Aware Privacy Preserving Cohesion Method (STLPPCM) validates the number of trustable users and allows them to use the Cloud resources with data privacy. newline