{"title":"A Formally Verified Message Validation Protocol for Intelligent IoT E-Health Systems","authors":"V. O. Nyangaresi, Junchao Ma","doi":"10.1109/AIC55036.2022.9848874","DOIUrl":null,"url":null,"abstract":"High volumes of private and sensitive data are transmitted in intelligent Internet of Things (IoT) e-health systems environment. As such, proper protection should be accorded to these networks owing to the devastating effects of any successful compromise. Consequently, numerous security protocols have been presented over the recent past. Unfortunately, most of these schemes deploy cryptographic primitives that always result in extensive communication, storage and computation overheads. In addition, majority of these protocols ignore attack models such as forgery, side-channeling and physical attacks. To this effect, a protocol that leverages on lightweight collision-resistant one-way hashing functions and pseudonyms is presented. The security analysis using both formal and informal techniques show its resilience against attacks as well as the existence of authentication among the communicating entities. In addition, it is shown that the secrecy of the derived session is preserved. In terms of efficiency, it is demonstrated that the proposed protocol incurs the least storage and communication overheads.","PeriodicalId":433590,"journal":{"name":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIC55036.2022.9848874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
High volumes of private and sensitive data are transmitted in intelligent Internet of Things (IoT) e-health systems environment. As such, proper protection should be accorded to these networks owing to the devastating effects of any successful compromise. Consequently, numerous security protocols have been presented over the recent past. Unfortunately, most of these schemes deploy cryptographic primitives that always result in extensive communication, storage and computation overheads. In addition, majority of these protocols ignore attack models such as forgery, side-channeling and physical attacks. To this effect, a protocol that leverages on lightweight collision-resistant one-way hashing functions and pseudonyms is presented. The security analysis using both formal and informal techniques show its resilience against attacks as well as the existence of authentication among the communicating entities. In addition, it is shown that the secrecy of the derived session is preserved. In terms of efficiency, it is demonstrated that the proposed protocol incurs the least storage and communication overheads.