AN INVESTIGATION ON HYBRID COMPUTING FOR COMPETENT DATA STORAGE AND SECURE ACCESS FOR GEO-SPATIAL APPLICATIONS

The GIS and cloud computing which is a hybrid method, a proposed technique is made on par with existing stenography and cryptographic algorithms. In modern years different steganography methods has been used to construct data in a more secured way along with special steganalysis methods. There are various tools that may be used for detecting hidden information which is easily available over the internet in order to secure the data from steganalyst. This is considered to be a gap from the review of the paper. Internet based computing provides security to cloud users as encrypted data in the cloud that protects the data from many attacks. Cryptography using GIS is collective geographic information for geographic or locational component purposes. It discharges Infrastructure as Service (IaaS), Software as a Service (SaaS) and Platform as a Service (PaaS) to computers. The existing papers meet the services individually, but as a whole, this will be done by GIS and CC which is a proposed hybrid model. Many open source tools will be used for hybrid model which is secured for cryptography. Also MapReduce is used to minimize the storage area which is mapped to GIS database in a cloud. The author proposed hybrid model to deal with information in a secured way that will store and hide the information. This happens along with some normalization techniques. Finally, the proposed model yields results in an efficient way of delivery of information without any loss of data and with minimum time through effective load balancing