{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:44:21Z","timestamp":1740149061127,"version":"3.37.3"},"reference-count":26,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,4,20]],"date-time":"2021-04-20T00:00:00Z","timestamp":1618876800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Institutional Fund Projects","award":["IFPRC-027-135\u20132020"],"award-info":[{"award-number":["IFPRC-027-135\u20132020"]}]},{"DOI":"10.13039\/501100011821","name":"Ministry of Education \u2013 Kingdom of Saudi Arabi","doi-asserted-by":"publisher","award":["IFPRC-027-135\u20132020"],"award-info":[{"award-number":["IFPRC-027-135\u20132020"]}],"id":[{"id":"10.13039\/501100011821","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004054","name":"King Abdulaziz University","doi-asserted-by":"publisher","award":["IFPRC-027-135\u20132020"],"award-info":[{"award-number":["IFPRC-027-135\u20132020"]}],"id":[{"id":"10.13039\/501100004054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Security and Communication Networks"],"published-print":{"date-parts":[[2021,4,20]]},"abstract":"<jats:p>Recently, deep learning-based models are being extensively utilized for steganalysis. However, deep learning models suffer from overfitting and hyperparameter tuning issues. Therefore, in this paper, an efficient <jats:inline-formula>\n                     <a:math xmlns:a=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\">\n                        <a:mi>\u03b8<\/a:mi>\n                     <\/a:math>\n                  <\/jats:inline-formula>-nondominated sorting genetic algorithm- (<jats:inline-formula>\n                     <c:math xmlns:c=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\">\n                        <c:mi>\u03b8<\/c:mi>\n                     <\/c:math>\n                  <\/jats:inline-formula> NSGA-) III based densely connected convolutional neural network (DCNN) model is proposed for image steganalysis. <jats:inline-formula>\n                     <e:math xmlns:e=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\">\n                        <e:mi>\u03b8<\/e:mi>\n                     <\/e:math>\n                  <\/jats:inline-formula> NSGA-III is utilized to tune the initial parameters of DCNN model. It can control the accuracy and f-measure of the DCNN model by utilizing them as the multiobjective fitness function. Extensive experiments are drawn on STEGRT1 dataset. Comparison of the proposed model is also drawn with the competitive steganalysis model. Performance analyses reveal that the proposed model outperforms the existing steganalysis models in terms of various performance metrics.<\/jats:p>","DOI":"10.1155\/2021\/9923389","type":"journal-article","created":{"date-parts":[[2021,4,21]],"date-time":"2021-04-21T21:01:35Z","timestamp":1619038895000},"page":"1-9","source":"Crossref","is-referenced-by-count":5,"title":["Artificial Intelligence-Based Digital Image Steganalysis"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6615-9258","authenticated-orcid":true,"given":"Ahmed I.","family":"Iskanderani","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering (ECE), King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8073-9750","authenticated-orcid":true,"given":"Ibrahim M.","family":"Mehedi","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering (ECE), King Abdulaziz University, Jeddah 21589, Saudi Arabia"},{"name":"Center of Excellence in Intelligent Engineering Systems (CEIES), King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9992-7177","authenticated-orcid":true,"given":"Abdulah Jeza","family":"Aljohani","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering (ECE), King Abdulaziz University, Jeddah 21589, Saudi Arabia"},{"name":"Center of Excellence in Intelligent Engineering Systems (CEIES), King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8050-8431","authenticated-orcid":true,"given":"Mohammad","family":"Shorfuzzaman","sequence":"additional","affiliation":[{"name":"Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Farzana","family":"Akther","sequence":"additional","affiliation":[{"name":"Aarhus BSS, Aarhus University, Aarhus, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1354-5811","authenticated-orcid":true,"given":"Thangam","family":"Palaniswamy","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering (ECE), King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3224-2608","authenticated-orcid":true,"given":"Shaikh Abdul","family":"Latif","sequence":"additional","affiliation":[{"name":"Department of Nuclear Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8973-1381","authenticated-orcid":true,"given":"Abdul","family":"Latif","sequence":"additional","affiliation":[{"name":"Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tifs.2020.3005304"},{"first-page":"2280","article-title":"Transfer learning effects on image steganalysis with pre-trained deep residual neural network model","author":"S. 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