{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T07:01:44Z","timestamp":1777705304185,"version":"3.51.4"},"reference-count":29,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T00:00:00Z","timestamp":1666310400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2023,1,30]]},"abstract":"<jats:p>Smart gadgets have created a buzz in the market today; you will find everything smart today. Like a smartwatch, smart band, smart led, smart heater, etc., and transmitting data securely between all these devices is necessary as an outcome; IoT devices developed defenseless to numerous devices. Faith replicas were predictable, significant simultaneous approaches to defend a large communication system in contrast to evil virtual outbreaks. In this research paper, the various Type-II fuzzy logic models are evaluated, which provides enhanced data security for IoT devices. Also, compression is applied between all data encryption techniques based on the parameters like Reproduction time (circles), Program series (m), Quantity of device nodes, Number of spiteful nodes, and Total interval.<\/jats:p>","DOI":"10.3233\/jifs-220570","type":"journal-article","created":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T11:58:49Z","timestamp":1666353529000},"page":"2109-2116","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["A comparison on type-II fuzzy logic based data encryption techniques in the Internet of Things"],"prefix":"10.1177","volume":"44","author":[{"given":"Neeraj","family":"Chandnani","sequence":"first","affiliation":[{"name":"Institute of Advance Computing, SAGE University, Indore (M.P.), India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kirti","family":"Verma","sequence":"additional","affiliation":[{"name":"Department of Engineering Mathematics, Lakshmi Narain College of Technology, Jabalpur (M.P.), India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,10,21]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2016.1600321CM"},{"key":"e_1_3_1_3_2","doi-asserted-by":"crossref","unstructured":"JiangJ. SunH. Performance assessment of distributed communication architectures in smart grid in Proc IEEE 83rd Veh Technol Conf (VTC Spring) 2016 pp. 1\u20135.","DOI":"10.1109\/VTCSpring.2016.7504413"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2012.2224390"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2013.2240299"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2014.2320505"},{"key":"e_1_3_1_7_2","doi-asserted-by":"crossref","unstructured":"SunY.L. HanZ. YuW. LiuK.R. A trust evaluation framework in distributed networks: Vulnerability analysis and defense against attacks in Proc INFOCOM Conf 2006 pp. 1\u201313.","DOI":"10.1109\/INFOCOM.2006.154"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ifs.2010.0160"},{"key":"e_1_3_1_9_2","doi-asserted-by":"crossref","unstructured":"KhosraviA. NahavandiS. CreightonD. Short term load forecasting using Interval Type-2 Fuzzy Logic Systems in Proc IEEE Int Conf Fuzzy Systems Taipei Taiwan 2011 pp. 502\u2013508.","DOI":"10.1109\/FUZZY.2011.6007450"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2010.0035"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2008.06.021"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1179\/174328109X445624"},{"key":"e_1_3_1_13_2","doi-asserted-by":"crossref","unstructured":"ZaheerS. KimJ. Type-2 fuzzy airplane altitude control: A comparative study in Proc IEEE Int Conf Fuzzy Systems Taipei Taiwan 2011 pp. 2170\u20132176.","DOI":"10.1109\/FUZZY.2011.6007500"},{"key":"e_1_3_1_14_2","doi-asserted-by":"crossref","unstructured":"RenQ. BaronL. JemielniakK. BalazinskiM. Modelling of dynamic-milling cutting forces using a type-2 fuzzy rule-based system in Proc IEEE Int Conf Fuzzy Systems Barcelona Spain 2010 pp. 1\u20137.","DOI":"10.1109\/FUZZY.2010.5584349"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2010.2102367"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2010.2049718"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2014613"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2006.872133"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2316552"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.05.026"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.06.011"},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","unstructured":"ChandnaniN. KhairnarC.N. An Analysis of Architecture Framework Security and Challenging aspects for Data Aggregation and Routing Techniques in IoT WSNs Theoretical Computer Science Elsevier 2022. doi: 10.1016\/J.TCS.2022.06.032.","DOI":"10.1016\/J.TCS.2022.06.032"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","unstructured":"ChandnaniN. KhairnarC.N. Bio-Inspired Multilevel Security Protocol for Data Aggregation and Routing in IoT WSNs Mobile Networks and Applications Springer 2022 pp. 1\u201320. doi: 10.1007\/S11036-021-01859-6.","DOI":"10.1007\/S11036-021-01859-6"},{"key":"e_1_3_1_24_2","doi-asserted-by":"publisher","unstructured":"ChandnaniN. KhairnarC.N. AComprehensive Review and Performance Evaluation of Recent Trends for Data Aggregation and Routing Techniques in IoT Networks Lecture Notes in Networks and Systems Springer vol. 100 2020 pp. 467\u2013484. doi: 10.1007\/978-981-15-2071-637.","DOI":"10.1007\/978-981-15-2071-637"},{"key":"e_1_3_1_25_2","doi-asserted-by":"publisher","unstructured":"ChandnaniN. KhairnarC.N. Efficient Data Aggregation and Routing Algorithm for IoT Wireless Sensor Networks IFIP International Conference on Wireless and Optical Communications Networks WOCN IEEE Conference vol. 2019-December 2019. doi: 10.1109\/WOCN45266.2019.8995074.","DOI":"10.1109\/WOCN45266.2019.8995074"},{"key":"e_1_3_1_26_2","doi-asserted-by":"publisher","unstructured":"ChandnaniN. KhairnarC.N. A Novel Secure Data Aggregation in IoT using Particle Swarm Optimization Algorithm 2018 International Conference on Advanced Computation and Telecommunication ICACAT 2018 IEEE Conference 2018. doi: 10.1109\/ICACAT.2018.8933784.","DOI":"10.1109\/ICACAT.2018.8933784"},{"key":"e_1_3_1_27_2","first-page":"1","article-title":"Reproducing kernel approach for numerical solutions of fuzzy fractional initial value problems under the Mittag\u2013Leffler kernel differential operator","volume":"2021","author":"Abu Arqub O.","year":"2021","unstructured":"Abu ArqubO., SinghJ., MaayahB. and AlhodalyM., Reproducing kernel approach for numerical solutions of fuzzy fractional initial value problems under the Mittag\u2013Leffler kernel differential operator, Mathematical Methods in the Applied Sciences 2021 (2021), 1\u201322.","journal-title":"Mathematical Methods in the Applied Sciences"},{"key":"e_1_3_1_28_2","first-page":"1","article-title":"Adaptation of kernelfunctions-based approach with Atangana\u2013Baleanu\u2013Caputodistributed order derivative for solutions of fuzzy fractionalVolterra and Fredholm integrodifferential equations","volume":"2021","author":"Abu Arqub O.","year":"2021","unstructured":"Abu ArqubO., SinghJ. and AlhodalyM., Adaptation of kernelfunctions-based approach with Atangana\u2013Baleanu\u2013Caputodistributed order derivative for solutions of fuzzy fractionalVolterra and Fredholm integrodifferential equations, Mathematical Methods in the Applied Sciences 2021 (2021), 1\u201328.","journal-title":"Mathematical Methods in the Applied Sciences"},{"key":"e_1_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.18576\/amis\/110412"},{"key":"e_1_3_1_30_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2015\/835891","article-title":"Existence, uniqueness, and characterization theorems for nonlinear fuzzy integrodifferential equations of Volterra type","volume":"2015","author":"Abu Arqub O.","year":"2015","unstructured":"Abu ArqubO., MomaniS., Al-MezelS. and KutbiM., Existence, uniqueness, and characterization theorems for nonlinear fuzzy integrodifferential equations of Volterra type, Mathematical Problems in Engineering 2015 (2015), 1\u201313.","journal-title":"Mathematical Problems in Engineering"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-220570","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-220570","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-220570","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:43:28Z","timestamp":1777455808000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-220570"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,21]]},"references-count":29,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,1,30]]}},"alternative-id":["10.3233\/JIFS-220570"],"URL":"https:\/\/doi.org\/10.3233\/jifs-220570","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,21]]}}}