Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3580
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKishore, Pushkar-
dc.contributor.authorBarisal, Swadhin Kumar-
dc.contributor.authorKumar, Kulamala Vinod-
dc.contributor.authorMohapatra, Durga Prasad-
dc.date.accessioned2021-09-02T11:11:00Z-
dc.date.available2021-09-02T11:11:00Z-
dc.date.issued2021-06-
dc.identifier.citationICC 2021 - IEEE International Conference on Communications , canada,14-23 June 2021en_US
dc.identifier.urihttp://hdl.handle.net/2080/3580-
dc.descriptionCopyright of this paper is with proceedings publisheren_US
dc.description.abstractIn today’s world, all things are connected and influencing the existing applications. The E-Health domain extensively adopts IoT and presents new healthcare services and medical facilities. However, the major hurdle is improving security and preserving the patients’ privacy. Many security/privacy- preserving models and protocols are proposed but prone to adversarial attacks. Our objective is to improve their security and ensure lightweight complexity for the low-powered and limited memory device. In this paper, we improve security using four critical steps. The effectivity of random number generation is improved, which defines the current security level in cryptography. A new technique is proposed utilising timestamp for handling a replay attack. We ensure strong forward security using the Elliptic Curve Discrete Logarithm Problem (ECDLP), making it challenging for an adversary to decode the security parameters. Finally, it is ensured that the hash function’s bits maintain the entropy of the key involved in the security model. Thus, the proposed model preserves privacy as well as improves the security of the E-Health modelen_US
dc.subjectE-Healthen_US
dc.subjectrandom number,en_US
dc.subjectreplay attack, strongen_US
dc.subjectforward security, entropyen_US
dc.subjectprivacy, securityen_US
dc.titleSecurity Improvement and Privacy Preservation in E-Healthen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
ICC2021_DPM.pdf1.53 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.