Sailfish invasive weed optimization algorithm for multiple image sharing in cloud computing

International Journal of Intelligent SystemsVolume 37, Issue 7 p. 4190-4213 RESEARCH ARTICLE Sailfish invasive weed optimization algorithm for multiple image sharing in cloud computing Vitthal Sadashiv Gutte, Corresponding Author Vitthal Sadashiv Gutte vitthalgutte2014@gmail.com orcid.org/0000-0002-3851-8011 Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Maharashtra, Mumbai, India Correspondence Vitthal Sadashiv Gutte, Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Maharashtra, Mumbai–Pune Expressway, Bhatan Post–Somathne, Panvel, Mumbai, Maharashtra 410206, India. Email: vitthalgutte2014@gmail.comSearch for more papers by this authorDeepa Parasar, Deepa Parasar orcid.org/0000-0002-2856-054X Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Maharashtra, Mumbai, IndiaSearch for more papers by this author Vitthal Sadashiv Gutte, Corresponding Author Vitthal Sadashiv Gutte vitthalgutte2014@gmail.com orcid.org/0000-0002-3851-8011 Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Maharashtra, Mumbai, India Correspondence Vitthal Sadashiv Gutte, Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Maharashtra, Mumbai–Pune Expressway, Bhatan Post–Somathne, Panvel, Mumbai, Maharashtra 410206, India. Email: vitthalgutte2014@gmail.comSearch for more papers by this authorDeepa Parasar, Deepa Parasar orcid.org/0000-0002-2856-054X Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Maharashtra, Mumbai, IndiaSearch for more papers by this author First published: 19 October 2021 https://doi.org/10.1002/int.22717Citations: 3Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract Visual cryptography (VC) is a secret sharing cryptographic technique, which permits visual information that is encrypted in such a way that the decrypted information shows the visual image. Security is the common problem that arises in the general VC technique. To secure the visual information, an effective method is proposed using a developed sailfish invasive weed optimization (SIWO) algorithm. At first, the grayscale image is shared with multiple parties, and here the shared images are encrypted and decrypted to reconstruct the original image back. The key generation is done using the developed SIWO-based data sharing approach. Here, the developed approach offered the peak signal-to-noise ratiof 34.870 and 33.711 dB for Lena and Cameraman images, respectively, and it attains better performance in terms of secret image sharing. CONFLICT OF INTERESTS The authors declare that they have no conflict of interests. Citing Literature Volume37, Issue7July 2022Pages 4190-4213 RelatedInformation