Healthcare Security: Post-Quantum Continuous Authentication With Behavioral Biometrics Using Vector Similarity Search

IF 6.3 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Basudeb Bera;Sutanu Nandi;Ashok Kumar Das;Biplab Sikdar
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引用次数: 0

Abstract

With the increasing digitization of medical records and the interconnected nature of healthcare networks, robust security measures are vital to mitigate the risk of data breaches, cyberattacks, and unauthorized access. Existing healthcare security models, like one-time authentication (OTA), rely on complex mathematical problems such as the integer factorization problem (IFP) and discrete logarithm problem (DLP). However, advancements in quantum computing, notably Shor’s algorithm, pose a threat to the security of these systems. Once the attacker bypasses OTA, they gain permanent access and can reveal sensitive healthcare user information. Given the numerous vulnerabilities exposed in OTA systems, there is a rising demand and trend toward implementing continuous authentication systems. Current cutting-edge privacy technologies either are not feasible or entail high costs for continuous authentication systems, which necessitate periodic real-time verification. As a result, we proposed a cutting-edge novel approach to healthcare security through post-quantum continuous authentication without breaking the continuity of a session, leveraging behavioral biometrics (BB) and vector similarity search (VSS). By integrating BB, which analyzes individual behavioral patterns, with VSS, our robust lightweight quantum-secure technique ensures a heightened level of security. The proposed framework offers seamless and continuous authentication, adapting in real-time to users’ behavioral patterns. The proof of concept for VSS demonstrates the efficiency of the proposed scheme in real-time healthcare applications. Through extensive testing, analysis, and performance analysis under unknown attacks, this study demonstrates the efficacy and resilience of our approach, promising a new frontier in healthcare security. A real-time testbed experiment, along with the implementation and design of FastAPI, demonstrates the novelty of the proposed scheme.
医疗安全:使用向量相似性搜索的行为生物识别技术的后量子连续身份验证
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来源期刊
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Information Forensics and Security 工程技术-工程:电子与电气
CiteScore
14.40
自引率
7.40%
发文量
234
审稿时长
6.5 months
期刊介绍: The IEEE Transactions on Information Forensics and Security covers the sciences, technologies, and applications relating to information forensics, information security, biometrics, surveillance and systems applications that incorporate these features
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