{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T05:29:26Z","timestamp":1778563766936,"version":"3.51.4"},"reference-count":38,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,8,6]],"date-time":"2021-08-06T00:00:00Z","timestamp":1628208000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Due to Internet of Things (IoT), it has become easy to surveil the critical regions. Images are important parts of Surveillance Systems, and it is required to protect the images during transmission and storage. These secure surveillance frameworks are required in IoT systems, because any kind of information leakage can thwart the legal system as well as personal privacy. In this paper, a secure surveillance framework for IoT systems is proposed using image encryption. A hyperchaotic map is used to generate the pseudorandom sequences. The initial parameters of the hyperchaotic map are obtained using partial-regeneration-based non-dominated optimization (PRNDO). The permutation and diffusion processes are applied to generate the encrypted images, and the convolution neural network (CNN) can play an essential role in this part. The performance of the proposed framework is assessed by drawing comparisons with competitive techniques based on security parameters. It shows that the proposed framework provides promising results as compared to the existing techniques.<\/jats:p>","DOI":"10.3390\/sym13081447","type":"journal-article","created":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T21:35:40Z","timestamp":1628458540000},"page":"1447","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Secure Surveillance Systems Using Partial-Regeneration-Based Non-Dominated Optimization and 5D-Chaotic Map"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7147-0390","authenticated-orcid":false,"given":"Gopal","family":"Ghosh","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Lovely Professional University, Phagwara 144401, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Kavita","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Chandigarh University, Mohali 140413, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Divya","family":"Anand","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Lovely Professional University, Phagwara 144401, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3136-4029","authenticated-orcid":false,"given":"Sahil","family":"Verma","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Chandigarh University, Mohali 140413, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3638-3464","authenticated-orcid":false,"given":"Danda B.","family":"Rawat","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Howard University, Washington, DC 20059, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jana","family":"Shafi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, College of Arts and Science, Prince Sattam Bin Abdul Aziz University, Wadi Ad-Dawasir 11991, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6593-7158","authenticated-orcid":false,"given":"Zbigniew","family":"Marsza\u0142ek","sequence":"additional","affiliation":[{"name":"Faculty of Applied Mathematics, Silesian University of Technology, 44100 Gliwice, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9073-5347","authenticated-orcid":false,"given":"Marcin","family":"Wo\u017aniak","sequence":"additional","affiliation":[{"name":"Faculty of Applied Mathematics, Silesian University of Technology, 44100 Gliwice, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3679","DOI":"10.1109\/TII.2018.2791944","article-title":"Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption","volume":"14","author":"Muhammad","year":"2018","journal-title":"IEEE Trans. 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