Abstract
Cloud computing is dealing with large amount of data during data communication. This data processing is named as big data. The big data is growth of the demand in accessing the storage, computation and communication. This big data has the major defects. A raising issue in emerging big data is cost minimization. The architecture of big data ranges over multiple machines and cluster which have sub system. The major challenge of this big data is pre-processing and analysing the data patterns. This research article is dealing with different data pre-processing and secure data storage. There are many research challenges during this data process. The possible gap and drawbacks in the technology are identified through this survey and the efficient big data service is provided through MHT and AES algorithm. The main aim of this proposed method is to provide better data security during larger data process. The proposed hybrid MHT with AES algorithm is to minimize the encryption and decryption time apart from that it reduces the attacker ratio. All these parameters automatically increase the Quality of Service.
Highlights
Big data refers to the progressing of huge data at high speed, making it difficult to manage such massive amount of data
End user can visualize the data in big data and may find new opportunity in big data
The main objective of big data is improving the computational performance during cloud storage
Summary
Big data refers to the progressing of huge data at high speed, making it difficult to manage such massive amount of data. Secondary characteristic is variety of data, apart from this velocity of data is measured. This big data concept is implemented on different levels of applications. Hadoop and HDFS becomes the prominent platform for handling in larger data with web circles This model has to present low level map. The major security refers the cloud computing as it comprises a lot of technologies including networks, virtualisation, operating system, resource scheduling transaction management and load balancing and memory management. In future Cloud and IOT are interlinked to solve data security problem [1]. Big data requires full rip and replacement of legacy network infrastructure, many organizations choose green field with the support of Hadoop big data [3]. The data security problem is solved by either symmetric or asymmetric encryption algorithm [10]
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