Murillo-Escobar M A, Cardoza-Avendaño L, López-Gutiérrez R M, Cruz-Hernández C
Electronics and Telecommunication Department, Scientific Research and Advanced Studies Center of Ensenada (CICESE), Ensenada, BC, Mexico.
Engineering, Architecture and Design Faculty, Autonomous University of Baja California (UABC), Ensenada, BC, México.
J Med Syst. 2017 Apr;41(4):59. doi: 10.1007/s10916-017-0698-3. Epub 2017 Feb 28.
Recently, telemedicine offers medical services remotely via telecommunications systems and physiological monitoring devices. This scheme provides healthcare delivery services between physicians and patients conveniently, since some patients can not attend the hospital due to any reason. However, transmission of information over an insecure channel such as internet or private data storing generates a security problem. Therefore, authentication, confidentiality, and privacy are important challenges in telemedicine, where only authorized users should have access to medical or clinical records. On the other hand, chaotic systems have been implemented efficiently in cryptographic systems to provide confidential and privacy. In this work, we propose a novel symmetric encryption algorithm based on logistic map with double chaotic layer encryption (DCLE) in diffusion process and just one round of confusion-diffusion for the confidentiality and privacy of clinical information such as electrocardiograms (ECG), electroencephalograms (EEG), and blood pressure (BP) for applications in telemedicine. The clinical signals are acquired from PhysioBank data base for encryption proposes and analysis. In contrast with recent schemes in literature, we present a secure cryptographic algorithm based on chaos validated with the most complete security analysis until this time. In addition, the cryptograms are validated with the most complete pseudorandomness tests based on National Institute of Standards and Technology (NIST) 800-22 suite. All results are at MATLAB simulations and all them show the effectiveness, security, robustness, and the potential use of the proposed scheme in telemedicine.
最近，远程医疗通过电信系统和生理监测设备远程提供医疗服务。该方案为医生和患者之间提供了便捷的医疗服务，因为一些患者由于任何原因无法前往医院。然而，通过互联网或私人数据存储等不安全渠道传输信息会产生安全问题。因此，认证、保密性和隐私性是远程医疗中的重要挑战，只有授权用户才能访问医疗或临床记录。另一方面，混沌系统已在密码系统中得到有效应用，以提供保密性和隐私性。在这项工作中，我们提出了一种基于逻辑映射的新型对称加密算法，在扩散过程中采用双混沌层加密（DCLE），并且仅进行一轮混淆-扩散，以保障心电图（ECG）、脑电图（EEG）和血压（BP）等临床信息在远程医疗应用中的保密性和隐私性。临床信号从PhysioBank数据库获取，用于加密和分析。与文献中最近的方案相比，我们提出了一种基于混沌的安全加密算法，并进行了迄今为止最全面的安全性分析验证。此外，密码文通过基于美国国家标准与技术研究院（NIST）800-22套件的最全面伪随机性测试进行验证。所有结果均通过MATLAB模拟得出，所有结果都表明了该方案在远程医疗中的有效性、安全性、稳健性以及潜在用途。
