{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T09:52:19Z","timestamp":1753869139201,"version":"3.41.2"},"reference-count":44,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2022,5,9]],"date-time":"2022-05-09T00:00:00Z","timestamp":1652054400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Trans Emerging Tel Tech"],"published-print":{"date-parts":[[2022,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Fog computing is an advantageous concept that works in consonance with cloud computing to enhance user experience. It presents innumerable benefits such as low latency, bandwidth saving, and location awareness. But, just being opportunistic towards the platform without checking it for security is not at all justifiable. As more and more sensitive data flows through the fog layer, it becomes mandatory to examine it for security. The fog nodes being closer to the user end are highly vulnerable to being malicious. There exists a possibility that a faulty fog node tries to tamper the data generated from the Internet of things (IoT) device layer and restrains the other functioning nodes to operate upon a common perceived value. In this regard, the authors have proposed the FogBus3 framework that guarantees reliable results from the fog level even in the presence of faulty fog nodes. The proposed framework adds a job categorization mechanism and a reliability ensuring IoT\u2010Fog Agreement Algorithm (IFAA) to the fog layer. The proposed framework has been thoroughly examined with the help of a working example and simulated through MATLAB R2021a. Further, the scenario has been tested before and after implementation of the proposed algorithm on the basis of execution time. Experimental results show that FogBus3's IFAA algorithm improves the execution time of the said setup by 41%. FogBus3 has also been evaluated for its scalability and is believed to ensure reliability in the said scenario.<\/jats:p>","DOI":"10.1002\/ett.4535","type":"journal-article","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T03:15:07Z","timestamp":1652152507000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["<scp>FogBus3<\/scp>: A scalable and reliable framework for integrated <scp>IoT<\/scp> and fog computing scenario"],"prefix":"10.1002","volume":"33","author":[{"given":"Richa","family":"Verma","sequence":"first","affiliation":[{"name":"Department of Computer Science BBA University  Lucknow India"}]},{"given":"Shalini","family":"Chandra","sequence":"additional","affiliation":[{"name":"Department of Computer Science BBA University  Lucknow India"}]}],"member":"311","published-online":{"date-parts":[[2022,5,9]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.05.014"},{"key":"e_1_2_11_3_1","unstructured":"\u2018How much data is created every day in 2021?\u2019;https:\/\/techjury.net\/blog\/how\u2010much\u2010data\u2010is\u2010created\u2010every\u2010day\/."},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.05.008"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2585591"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10776-020-00491-7"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10776-020-00499-z"},{"key":"e_1_2_11_8_1","doi-asserted-by":"crossref","unstructured":"Fernando W. U. K. Samarakkody R. M. &Halgamuge M. N.(2020).Smart Transportation Tracking Systems Based on the Internet of Things Vision. In Connected Vehicles in the Internet of Things (pp.143\u2013166).Springer Cham.","DOI":"10.1007\/978-3-030-36167-9_7"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/ett.4078"},{"key":"e_1_2_11_10_1","first-page":"e3710","article-title":"Edge computing in smart health care systems: Review, challenges and research directions","author":"Hartmann M","year":"2019","journal-title":"Trans Emerg Telecommun Technol"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/ett.4333"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/ett.4326"},{"key":"e_1_2_11_13_1","doi-asserted-by":"crossref","unstructured":"Bonomi F. Milito R. Zhu J. &Addepalli S.(2012).Fog computing and its role in the internet of things. 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