An Efficient Privacy Preserving Algorithm for Cloud Users

Now a day’s cloud-based instant message services are becoming popular. It can be an efficient way of communication even for events that require a certain level of security like banking, e-commerce applications, e-transactions etc. Cloud can provide a distributed notification of messages along with the queuing them to facilitate the transfer of messages between various applications and connected systems. Cloud message services can be as simple as a pay-as-you-go service, which does not require significant investment and protect its customers, providing a hassle-free and maintenance-free services platform. This research paper proposes a privacy-preserving approach to users utilizing cloud-based services. A cloud-based model is created and simulated. The proposed method is based on a multi-method approach where a virtual system is acting as an agent and is interconnected with other virtual systems. Inside a virtual system, a discrete event model of job processing and privacy preserving is defined as shown in the process flowchart. The proposed model is scalable. To preserve the privacy, Blowfish and Honey Encryption algorithm is used. This research aims to make the current messaging framework more secure, resilient and effective by the application of symmetric-key algorithm amalgamated with Honey key encryption. The performance of the proposed algorithm evaluated and found satisfactory results.