Wassim Alexan, Ahmed Ashraf, Eyad Mamdouh, Sarah Mohamed, Mohamed Moustafa
{"title":"IoMT Security: SHA3-512, AES-256, RSA and LSB Steganography","authors":"Wassim Alexan, Ahmed Ashraf, Eyad Mamdouh, Sarah Mohamed, Mohamed Moustafa","doi":"10.1109/NICS54270.2021.9701567","DOIUrl":null,"url":null,"abstract":"The Internet of Medical Things (IoMT) has been witnessing huge leaps in its development due to the advancements of neighboring technologies. Those include 5G, big data and cloud storage. While IoMT provides a rich environment for the ultra-fast share and transfer of pathological analyses and disease diagnoses, it also presents networking and security engineers with unprecedented challenges. The need to protect the transmission of the sensitive information in relation to patients’ identities and diagnoses has always been a priority. This security problem is only exaggerated by the sheer volume of medical data to be transferred through a network in real time. This paper proposes an information security scheme for IoMT that utilizes AES-256, RSA, SHA3-512 and LSB embedding in medical scans or images. The proposed scheme not only guarantees the secure transmission of medical data through a network, but it also satisfies the conditions of user authentication and confidentiality. The numerical results showcase the superiority of the proposed scheme.","PeriodicalId":296963,"journal":{"name":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NICS54270.2021.9701567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The Internet of Medical Things (IoMT) has been witnessing huge leaps in its development due to the advancements of neighboring technologies. Those include 5G, big data and cloud storage. While IoMT provides a rich environment for the ultra-fast share and transfer of pathological analyses and disease diagnoses, it also presents networking and security engineers with unprecedented challenges. The need to protect the transmission of the sensitive information in relation to patients’ identities and diagnoses has always been a priority. This security problem is only exaggerated by the sheer volume of medical data to be transferred through a network in real time. This paper proposes an information security scheme for IoMT that utilizes AES-256, RSA, SHA3-512 and LSB embedding in medical scans or images. The proposed scheme not only guarantees the secure transmission of medical data through a network, but it also satisfies the conditions of user authentication and confidentiality. The numerical results showcase the superiority of the proposed scheme.