Protecting and Analyzing Big Data on Cloud Platforms
Avita Katal, Niharika Singh, Vitesh Sethi, Susheela Dahiya · 2021
The ever-growing financial, healthcare, manufacturing, and other sectors are generating volumes of big data. With recent progress in the area of cloud computing, many small as well as medium enterprises are moving to the cloud for serving the needs of organizations to store and compute their big data. Cloud computing also provides these organizations with useful insights to data stored. Different computational models are present for big data analytics but the four V’s (Volume, Velocity, Variety, and Variability) are still making the computation analytics a challenge. Along with this, the introduction of cloud computing technology raised protection and security issues associated with the data as no other person should be able to gain access to the private data of the customers, especially in the field of finance, health, etc. Many techniques for securing and protecting data on cloud have been introduced in the due course of time. In this chapter, introduction of cloud computing and Big Data as upcoming technologies is covered and also the relationship between the two technologies is discussed in detail. In this chapter, the need for retrieving information from widespread Big Data on the web along with the challenges for information retrieval in Big Data and Cloud is discussed. The chapter also discusses the details about the security concerns of Big Data on the cloud platform followed by the different algorithms that can be used for the encryption and decryption of data. The chapter concludes with the case studies including the comparison of the results of various encryption techniques used for data storage on cloud.