Please use this identifier to cite or link to this item: http://13.232.72.61:8080/jspui/handle/123456789/2220
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dc.contributor.authorNaveen, M.-
dc.contributor.authorSuresh Babu, G. N. K.-
dc.date.accessioned2019-05-17T10:13:06Z-
dc.date.available2019-05-17T10:13:06Z-
dc.date.issued2018-08-
dc.identifier.citationNaveen, M., & Suresh Babu, G. N. K. (2018, September). Image Content Protection Using Hybrid Approach of Blocking and Embedding Algorithm in the Context of Social Network. In Proceedings of the Computational Methods in Systems and Software (pp. 248-258). Springer, Cham.en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-00184-1_23-
dc.identifier.urihttp://13.232.72.61:8080/jspui/handle/123456789/2220-
dc.description.abstractThe security of an informative data plays a crucial role in current world. The reversible hiding mechanisms for data are able to perform the embedding of secret data in an image in secure way so that the receiver can receive image data without any data loss in secure manner. But, the existing data hiding mechanisms are able to embed the data only after the image encryption. This may cause error during the extraction and recover of image. The security of image content shared on collaborative (social) networks is the de-facto research today to minimize losses. This paper presents a hybrid mechanism of blocking and embedding for image data protection in the context of collaborative network. The outcomes of the system give the improved execution time for optimized transformation (29.3 s) than normal transformation (139.17 s). Also, it is observed that the PSNR value of 53.15 and 53.13 is observed for two set of image data which represents the improved image quality after recovery.en_US
dc.language.isoenen_US
dc.publisherSpringer Linken_US
dc.subjectComputer scienceen_US
dc.subjectImage securityen_US
dc.subjectBlock operationen_US
dc.subjectData embeddingen_US
dc.subjectExecution timeen_US
dc.subjectPSNRen_US
dc.titleImage Content Protection Using Hybrid Approach of Blocking and Embedding Algorithm in the Context of Social Networken_US
dc.typeArticleen_US
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