Modified Ebola based image optimization algorithm for secure image transmission
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, COM-IT-CON 2022
; : 511-516, 2022.
Article
in English
| Scopus | ID: covidwho-2029194
ABSTRACT
Steganographic technique is a way of hiding confidential data that needs to be protected from unauthorized users and also no suspicion should be there that the cover image is carrying the secret information. Therefore, in steganography technique it is critical to have an algorithm that can hide information securely and uses best combination of techniques. In this research the 2 main factors are considered i.e., payload capacity and stego-image quality. In this model different techniques have been hybridised and those are DWT, Huffman Encoding and Ebola optimisation technique. These combinational techniques work on both capacity and image quality. In this database of Covid-19 patients is used as the confidential data and the results that this model has performed better than the existing ones. © 2022 IEEE.
COVID-19; DWT; Ebola Image transmission; Image security; Steganography; Discrete wavelet transforms; Image communication systems; Image quality; Imaging systems; Signal reconstruction; Confidential data; Cover-image; Image optimization; Optimization algorithms; Secret information; Secure image transmission; Unauthorized users
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, COM-IT-CON 2022
Year:
2022
Document Type:
Article
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