Efficiently Secure Data Privacy on Hybrid Cloud Using Novel Image Scrambling and Modified SPIHT

Technology has grown to such an extent that anything can be stored in cloud. But the extension of the adoption of the cloud is hindered as there are some major concerns regarding the privacy of data stored and data size in the public cloud. In hybrid cloud computing (HCC), the images are preserved in dedicated cloud. However, this technique avoids the basic feature of the cloud computing as it increases the computation and storage overhead on the cloud. A novel algorithm approach is used to compute the private image data, where 0.001 time of AES algorithm is used and the delay is 3–5% when compared to other traditional public cloud approaches. The data compression algorithm used reduces the data size by 87%, thus reducing the time of uploading by 70%.