{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T17:31:49Z","timestamp":1790011909723,"version":"4.0.1"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T00:00:00Z","timestamp":1675123200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T00:00:00Z","timestamp":1675123200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-022-01599-8","type":"journal-article","created":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T16:04:04Z","timestamp":1675181044000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["An Insightful Analysis of Digital Forensics Effects on Networks and Multimedia Applications"],"prefix":"10.1007","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1938-3964","authenticated-orcid":false,"given":"Aishwarya","family":"Rajeev","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.","family":"Raviraj","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,1,31]]},"reference":[{"key":"1599_CR1","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.forsciint.2003.11.034","volume":"140","author":"CY Wen","year":"2004","unstructured":"Wen CY, Chen JK. Multi-resolution image fusion technique and its application to forensic science. Forensic Sci Int. 2004;140:217\u201332.","journal-title":"Forensic Sci Int"},{"key":"1599_CR2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2672681","author":"Z Ali","year":"2017","unstructured":"Ali Z, Imran M, Alsulaiman M. An automatic digital audio authentication\/forensics system. IEEE Access. 2017. https:\/\/doi.org\/10.1109\/ACCESS.2017.2672681.","journal-title":"IEEE Access"},{"key":"1599_CR3","doi-asserted-by":"crossref","unstructured":"Gangwar A, Fidalgo E, Alegre E, Gonz\u00e1les V. Castro, pornography and child sexual abuse detection in image and video: a comparative evaluation, Proceedings of the 8th International Conference on Imaging for Crime Detection and Prevention, ISBN: 978-1-78561-687-7. 2017, pp. 37\u201342.","DOI":"10.1049\/ic.2017.0046"},{"key":"1599_CR4","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/j.neucom.2016.12.017","volume":"230","author":"M Perez","year":"2017","unstructured":"Perez M, Avila S, Moreira D, Moraes D, Testoni V, Valle E, Goldenstein S, Rocha A. Video pornography detection through deep learning techniques and motion information. Neurocomputing. 2017;230:279\u201393.","journal-title":"Neurocomputing"},{"key":"1599_CR5","unstructured":"Slay J. Towards developing network forensic mechanism for botnet activities in the IoT based on machine learning techniques, Mobile networks and management. In: 9th international conference, MONAMI (2017), Melbourne, Australia, December 13\u201315; 2017. Proceedings. Springer. Vol. 235, p. 30."},{"key":"1599_CR6","doi-asserted-by":"crossref","unstructured":"Xiao J, Li S and Xu Q. Video Based Evidence analysis and extraction in digital forensics investigation. IEEE Access; 2019.","DOI":"10.1109\/ACCESS.2019.2913648"},{"key":"1599_CR7","doi-asserted-by":"crossref","unstructured":"Hosler B, Mayer O, Bayar B, Zhao X, Chen C, Shackleford JA, Stamm MC. A video camera model identification system using deep learning and Fusion. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2019. pp. 8271\u20138275.","DOI":"10.1109\/ICASSP.2019.8682608"},{"key":"1599_CR8","doi-asserted-by":"publisher","first-page":"15881","DOI":"10.1007\/s11042-018-6338-1","volume":"79","author":"GS Chhabra","year":"2020","unstructured":"Chhabra GS, Singh VP, Singh M. Cyber forensics framework for big data analytics in IoT environment using machine learning. Multimed Tools Appl. 2020;79:15881\u2013900.","journal-title":"Multimed Tools Appl"},{"key":"1599_CR9","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.future.2020.04.041","volume":"111","author":"ALS Orozco","year":"2020","unstructured":"Orozco ALS, Huam\u00e1n CQ, \u00c1lvarez DP, Villalba LJG. A machine learning forensics technique to detect post-processing in digital videos. Future Gener Computer Syst. 2020;111:199\u2013212.","journal-title":"Future Gener Computer Syst"},{"key":"1599_CR10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3073786","author":"MA Qamhan","year":"2021","unstructured":"Qamhan MA, Altaheri H, Meftah AH, Muhammad G, Alotaibi YA. Digital audio forensics: microphone and environment classification using deep learning. IEEE Access. 2021. https:\/\/doi.org\/10.1109\/ACCESS.2021.3073786.","journal-title":"IEEE Access"},{"issue":"Suppl 1","key":"1599_CR11","doi-asserted-by":"publisher","first-page":"S156","DOI":"10.1007\/s13198-021-01323-4","volume":"13","author":"S Sachdeva","year":"2022","unstructured":"Sachdeva S, Ali A. Machine learning with digital forensics for attack classification in the cloud network environment. Int J Syst Assur Eng Manag. 2022;13(Suppl 1):S156\u201365.","journal-title":"Int J Syst Assur Eng Manag"},{"key":"1599_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3166602","author":"A Abbasi","year":"2022","unstructured":"Abbasi A, Javed AR, Yasin A, Jalil Z, Kryvinska N, Tariq U. A large-scale benchmark dataset for anomaly detection and rare event classification for audio forensics. IEEE Access. 2022. https:\/\/doi.org\/10.1109\/ACCESS.2022.3166602.","journal-title":"IEEE Access"},{"key":"1599_CR13","first-page":"301390","volume":"41","author":"Y Akbari","year":"2022","unstructured":"Akbari Y, Al-Maadeed S, Elharrouss O, Khelifi F, Lawgaly A, Bouridane A. Digital forensic analysis for source video identification: a survey. Forensic Sci Int: Digital Investig. 2022;41:301390.","journal-title":"Forensic Sci Int: Digital Investig"},{"key":"1599_CR14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3151406","author":"Y Akbari","year":"2022","unstructured":"Akbari Y, Al-Maadeed S, Almaadeed N, Al-ali A, Khelifi F, Lawgaly A, et al. A new forensic video database for source smartphone identification: description and analysis. IEEE Access. 2022. https:\/\/doi.org\/10.1109\/ACCESS.2022.3151406.","journal-title":"IEEE Access"},{"key":"1599_CR15","first-page":"301352","volume":"40","author":"C Neale","year":"2022","unstructured":"Neale C, Kennedy I, Price B, Yijun Yu, Nuseibh B. The case for zero trust digital forensics. Sci Int: Digit Investig. 2022;40:301352.","journal-title":"Sci Int: Digit Investig"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-022-01599-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-022-01599-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-022-01599-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T16:07:21Z","timestamp":1675181241000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-022-01599-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,31]]},"references-count":15,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2023,3]]}},"alternative-id":["1599"],"URL":"https:\/\/doi.org\/10.1007\/s42979-022-01599-8","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,31]]},"assertion":[{"value":"7 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 December 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 January 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"It is stated by the authors that they have no conflicting interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"186"}}