An enhancing reversible data hiding for secured data using shuffle block key encryption and histogram bit shifting in cloud environment

• Published in: Cluster computing 2019-09, Vol.22 (Suppl 5), p.12839-12847
• Main Authors: Senthilnathan, T., Prabu, P., Sivakumar, R., Sakthivel, S.
• Format: Article
• Language: English
• Subjects: Access control; Algorithms; Big Data; Cloud computing; Computer Communication Networks; Computer Science; Data encryption; Data loss; Data processing; Embedding; Encryption; Histograms; Metadata; Operating Systems; Outsourcing; Privacy; Processor Architectures; Security
• ISSN: 1386-7857; 1573-7543
• DOI: 10.1007/s10586-018-1765-3

Nowadays there are numerous intruders trying to get the privacy information from cloud resources and consequently need a high security to secure our data. Moreover, research concerns have various security standards to secure the data using data hiding. In order to maintain the privacy and security in the cloud and big data processing, the recent crypto policy domain combines key policy encryption with reversible data hiding (RDH) techniques. However in this approach, the data is directly embedded resulting in errors during data extraction and image recovery due to reserve leakage of data. Hence, a novel shuffle block key encryption with RDH technique is proposed to hide the data competently. RDH is applied to encrypted images by which the data and the protection image can be appropriately recovered with histogram bit shifting algorithm. The hidden data can be embedded with shuffle key in the form of text with the image. The proposed method generates the room space to hide data with random shuffle after encrypting image using the definite encryption key. The data hider reversibly hides the data, whether text or image using data hiding key with histogram shifted values. If the requestor has both the embedding and encryption keys, can excerpt the secret data and effortlessly extract the original image using the spread source decoding. The proposed technique overcomes the data loss errors competently with two seed keys and also the projected shuffle state RDH procedure used in histogram shifting enhances security hidden policy. The results show that the proposed method outperforms the existing approaches by effectively recovering the hidden data and cover image without any errors, also scales well for large amount of data.