{"title":"Scalable, efficient, and secure RFID with elliptic curve cryptosystem for Internet of Things in healthcare environment","authors":"Davood Noori, Hassan Shakeri, Masood Niazi Torshiz","doi":"10.1186/s13635-020-00114-x","DOIUrl":null,"url":null,"abstract":"The rapid development of IoT technology has led to the usage of various devices in our daily life. Along with the ever-increasing rise of the Internet of Things, the use of appropriate methods for establishing secure communications in health care systems is vital. The adoption of high-security optimal mechanisms for this purpose has been more effective regarding the efficiency of medical information systems; hence, many studies are being conducted in this field today. One of the most important components is the RFID cards that can be used for communication between entities in the environment. In healthcare systems, patient information is critical and nobody should have access to this information. Thus, providing security for these networks is essential. Recently, good researches have been done in the area of authentication for medical information systems, using RFID technology, which has a low computational cost. In this paper, we propose a novel method based on elliptic curve cryptography for vital and efficient and scalable authentication between RFID cards, card readers, and servers. This proposed method maintains security and has less computational cost and low elliptic curve point multiplication running time compared to similar recent methods.","PeriodicalId":46070,"journal":{"name":"EURASIP Journal on Information Security","volume":"1 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2020-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EURASIP Journal on Information Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13635-020-00114-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 20
Abstract
The rapid development of IoT technology has led to the usage of various devices in our daily life. Along with the ever-increasing rise of the Internet of Things, the use of appropriate methods for establishing secure communications in health care systems is vital. The adoption of high-security optimal mechanisms for this purpose has been more effective regarding the efficiency of medical information systems; hence, many studies are being conducted in this field today. One of the most important components is the RFID cards that can be used for communication between entities in the environment. In healthcare systems, patient information is critical and nobody should have access to this information. Thus, providing security for these networks is essential. Recently, good researches have been done in the area of authentication for medical information systems, using RFID technology, which has a low computational cost. In this paper, we propose a novel method based on elliptic curve cryptography for vital and efficient and scalable authentication between RFID cards, card readers, and servers. This proposed method maintains security and has less computational cost and low elliptic curve point multiplication running time compared to similar recent methods.
期刊介绍:
The overall goal of the EURASIP Journal on Information Security, sponsored by the European Association for Signal Processing (EURASIP), is to bring together researchers and practitioners dealing with the general field of information security, with a particular emphasis on the use of signal processing tools in adversarial environments. As such, it addresses all works whereby security is achieved through a combination of techniques from cryptography, computer security, machine learning and multimedia signal processing. Application domains lie, for example, in secure storage, retrieval and tracking of multimedia data, secure outsourcing of computations, forgery detection of multimedia data, or secure use of biometrics. The journal also welcomes survey papers that give the reader a gentle introduction to one of the topics covered as well as papers that report large-scale experimental evaluations of existing techniques. Pure cryptographic papers are outside the scope of the journal. Topics relevant to the journal include, but are not limited to: • Multimedia security primitives (such digital watermarking, perceptual hashing, multimedia authentictaion) • Steganography and Steganalysis • Fingerprinting and traitor tracing • Joint signal processing and encryption, signal processing in the encrypted domain, applied cryptography • Biometrics (fusion, multimodal biometrics, protocols, security issues) • Digital forensics • Multimedia signal processing approaches tailored towards adversarial environments • Machine learning in adversarial environments • Digital Rights Management • Network security (such as physical layer security, intrusion detection) • Hardware security, Physical Unclonable Functions • Privacy-Enhancing Technologies for multimedia data • Private data analysis, security in outsourced computations, cloud privacy