{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T12:31:28Z","timestamp":1773059488949,"version":"3.50.1"},"reference-count":49,"publisher":"Institution of Engineering and Technology (IET)","issue":"4","license":[{"start":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T00:00:00Z","timestamp":1719446400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nd\/4.0\/"}],"content-domain":{"domain":["ietresearch.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["IET Cyber-Phy Sys Theory &amp; Ap"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>A novel context\u2010based privacy policy deployment model enhanced with bioinspired Q\u2010learning optimisations is presented. The model addresses the challenge of maintaining privacy while ensuring data integrity and usability in various settings. Leveraging datasets including Adult (Census Income), Yelp, UC Irvine Machine Learning, and Movie Lens, the authors evaluate the model's performance against state\u2010of\u2010the\u2010art techniques, such as GEF AL, Deep Forest, and Robust Continual Learning. The approach employs Firefly Optimiser (FFO) and Ant Lion Optimiser (ALO) algorithms to dynamically adjust privacy parameters and handle large datasets efficiently. Additionally, Q\u2010learning enables intelligent decision\u2010making and rapid adaptation to changing data and network conditions and scenarios. Evaluation results demonstrate that the model consistently outperforms reference techniques across multiple metrics, including privacy levels, scalability, fidelity, and sensitivity management. By reducing reputational harm, minimising delays, and enhancing network quality, the model offers robust privacy protection without sacrificing data utility. Overall, a dynamic context\u2010based privacy policy deployment approach, enhanced with bioinspired Q\u2010learning optimisations, presents a significant advancement in privacy preservation methods. The combination of ALO, FFO, and Q\u2010learning techniques offers a practical solution to evolving data privacy challenges and enhances flexibility in various use case scenarios.<\/jats:p>","DOI":"10.1049\/cps2.12100","type":"journal-article","created":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T06:55:56Z","timestamp":1719471356000},"page":"477-496","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Design of an efficient dynamic context\u2010based privacy policy deployment model via dual bioinspired Q learning optimisations"],"prefix":"10.1049","volume":"9","author":[{"given":"Namrata Jiten","family":"Patel","sequence":"first","affiliation":[{"name":"Computer Engineering Ramrao Adik Institute of Technology D Y Patil Deemed to be University  Navi Mumbai Maharashtra India"},{"name":"Computer Engineering SIES Graduate School of Technology  Navi Mumbai Maharashtra India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashish","family":"Jadhav","sequence":"additional","affiliation":[{"name":"Department of Information Technology Ramrao Adik Institute of Technology and Head D. Y. Patil Innovation Foundation D. Y. Patil Deemed to be University  Navi Mumbai Maharashtra India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"265","published-online":{"date-parts":[[2024,6,27]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3163752"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3124163"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3245524"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3187037"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2021.3084251"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/OJVT.2023.3243226"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.3021919"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3181823"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2017.2787661"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2020.3046432"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3235969"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3145845"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3274391"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2021.9010015"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3016466"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3117285"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3014246"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3015835"},{"key":"e_1_2_10_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3274359"},{"key":"e_1_2_10_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3235016"},{"key":"e_1_2_10_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3229122"},{"key":"e_1_2_10_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2020.3047850"},{"key":"e_1_2_10_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3175219"},{"key":"e_1_2_10_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2019.2919833"},{"key":"e_1_2_10_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3069737"},{"key":"e_1_2_10_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3027572"},{"key":"e_1_2_10_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2018.2839741"},{"key":"e_1_2_10_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3179536"},{"key":"e_1_2_10_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/OJCS.2021.3053032"},{"key":"e_1_2_10_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3037098"},{"key":"e_1_2_10_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3062735"},{"key":"e_1_2_10_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2018.2868750"},{"key":"e_1_2_10_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3064691"},{"key":"e_1_2_10_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3052183"},{"key":"e_1_2_10_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2021.3063102"},{"key":"e_1_2_10_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/LNET.2021.3094518"},{"key":"e_1_2_10_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3102581"},{"key":"e_1_2_10_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.3021713"},{"key":"e_1_2_10_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2021.3135352"},{"key":"e_1_2_10_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3232504"},{"key":"e_1_2_10_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3215811"},{"key":"e_1_2_10_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3064877"},{"key":"e_1_2_10_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3155481"},{"key":"e_1_2_10_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3285407"},{"key":"e_1_2_10_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3209153"},{"key":"e_1_2_10_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3106673"},{"key":"e_1_2_10_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3214194"},{"key":"e_1_2_10_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2020.3045449"},{"key":"e_1_2_10_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3198094"}],"container-title":["IET Cyber-Physical Systems: Theory &amp; Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/ietresearch.onlinelibrary.wiley.com\/doi\/pdf\/10.1049\/cps2.12100","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T09:58:18Z","timestamp":1761559098000},"score":1,"resource":{"primary":{"URL":"https:\/\/ietresearch.onlinelibrary.wiley.com\/doi\/10.1049\/cps2.12100"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,27]]},"references-count":49,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["10.1049\/cps2.12100"],"URL":"https:\/\/doi.org\/10.1049\/cps2.12100","archive":["Portico"],"relation":{},"ISSN":["2398-3396","2398-3396"],"issn-type":[{"value":"2398-3396","type":"print"},{"value":"2398-3396","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,27]]},"assertion":[{"value":"2024-01-05","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-06-05","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-06-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}