An Anonymous Authentication System for Pay-As-You-Go Cloud Computing

Abstract : Cloud computing offers on-demand availability of computing resources over the Internet. To attract users, cloud providers offer their resources as services at reasonable prices and provide various price models to reflect higher level of quality of service (QoS), which are referred as pricing schemes. k-times anonymous authentication (k-TAA) is an attractive approach to construct pricing schemes, providing access controllability, user anonymity and public traceability. In k-TAA schemes, authenticated users are permitted to anonymously access services from a provider at most k times, while the ones whose the number of access times exceeds k can be publicly traded. That is, k-TAA schemes offer a prepaid plan that charges users based on the amount of access times. Alternatively, pay-as-you-go (PAYG) is a pricing strategy that allows users to be charged based on the amount of usage, reducing the costs on unnecessary resources. Adopting k-TAA schemes to PAYG model, th access bound k is decided by the prepayment amount and the service usage is tracked by the number of access times. However, this approach is impractical, since existing k-TAA schemes only allow an one-time access in an authentication. This work aims to bridge this gap in the literature by designing an efficient and secure authentication system for PAYG cloud computing, supporting flexible access controllability, user anonymity and public traceability. To achieve this, we propose new k-TAA primitive, called k-times anonymous pay-as-you-go authentication (k-TAA-PAYG), that allows users to access services for multiple times in an authentication as long as the number of their access times does not exceed k. We first formalize the definition and security model for k-TAA-PAYG scheme. Subsequently, we present a concrete construction of k-TAA-PAYG scheme, with the computational complexity as O(1) and the constant communicational cost. Finally, comparing with the most efficient k-TAA scheme proposed by Emura et al., the experimental results show that our k-TAA-PAYG scheme is 2.5 to 3 times faster and saves up to 66% storage in grant processes. The time cost of an authentication of our k-TAA-PAYG scheme is constant (1.4-2.4 ms), while Emura et al.’s scheme needs more than one second when the number of access time is greater than 1,000.

 EXISTING SYSTEM :

 To attract more users, cloud providers offer their computing resource as services at reasonable prices and provide various price models to reflect higher level of quality of service (QoS), which are referred as pricing schemes. But in existing system there is no proper storage based cost estimated .

 DISADVANTAGE :

 The direct attack effect such as service downtime, auto-scaling driven resource/economic losses, business and revenue losses, economic losses due to the downtime, and the service's downtime

 PROPOSED SYSTEM :

 Public cloud resources approach and apply the PAYG model differently. For example, a user provisioning a dedicated cloud server is generally billed according to server power and usage and on a recurring basis. Software as a Service (SaaS) works similarly, where a user leases software and customized features. Storage as a Service (SaaS) billing rotates on a frequent basis because storage requirements increase are usually subject to gradually increased pricing. Pay as you go is a cost model for cloud services that encompasses both subscription-based and consumption-based models and memory usage and expiry date, in contrast to traditional IT cost model that requires cost based cloud usage in server.

 ADVANTAGE :

 Such as higher availability, cost reduction, efficient billing, reduced traffic congestion, fast system response, helpful services and effective management. For vehicle detection, mostly IR sensors, ultrasonic sensors, RFID tags and simple light sensors are used. The network load is reduced to the minimum, lowering the required number of gateways that must be placed across a certain area