Trustworthy Hybrid Cloud Architecture for Big Data Processing (Paperback)

<p>Big data is the current trend and it gradually become a widely preferred topic of scientific research and is used in many industries like private and public sectors, enterprises, businesses, and domains where abundant data is used. As big data is used in many domains, securing big data and effective analytics capability is increasingly concerned. Cloud computing is an extremely realistic technology and draw the interest of huge number of investigators to analyze it and to apply it in big data frameworks. Nowadays, cloud computing become inevitable for big data storage and analytics and so the traditional cryptographic mechanisms are inadequate or not suited for processing huge volumes of big data outsourced to the cloud. Technological advancements are common in cloud technology because of its elastic properties and metered services. This new model of cloud computing is efficient since it provides cost-effective architectures that facilitate data submission, data storage, and computations over data transmission, storage, and intensive computing of data. Though an organization benefits by adopting cloud technology for analytics, this leads to security and privacy breaches. Security issues are the barriers to adopting cloud computing for big data analytics. Also, cloud storage facilitates a large amount of data storage and it also results in data leakage and exposure of sensitive data. The responsibility of safeguarding data on the cloud belongs to a cloud service provider. Though the cloud provides efficient techniques, many challenging scalability, computation, and communication issues arise due to loss of data control. Cloud computing provides a pool of resources that can be shared among multiple cloud tenants. This co-existence of tenants can also result in security issues. The impacts of security breaches affect both the data owner and the cloud service provider. The threat to data in cloud storage results in losing the trust of customers and service providers will lose their clients. If the data owner loses his valuable sensitive data then it results in irrecoverable damage. In order to protect users' sensitive data over the cloud and to self-destruct it after a specified time period mechanisms are needed. This work concentrates on providing full life cycle protection of sensitive data stored on the cloud.</p>