An optimized hybrid encryption framework for smart home healthcare: Ensuring data confidentiality and security

IF 6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Olusogo Popoola , Marcos A Rodrigues , Jims Marchang , Alex Shenfield , Augustine Ikpehai , Jumoke Popoola
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引用次数: 0

Abstract

This study proposes an optimized hybrid encryption framework combining ECC-256r1 with AES-128 in EAX mode, tailored for smart home healthcare environments, and conducts a comprehensive investigation to validate its performance. Our framework addresses current limitations in securing sensitive health data and demonstrates resilience against emerging quantum computing threats. Through rigorous experimental evaluation, we show that the proposed configuration outperforms existing solutions by delivering unmatched security, processing speed, and energy efficiency. It employs a robust yet streamlined approach, meticulously designed to ensure simplicity and practicality, facilitating seamless integration into existing systems without imposing undue complexity. Our investigation affirms the framework's capability to resist common cybersecurity threats like MITM, replay, and Sybil attacks while proactively considering quantum resilience. The proposed method excels in processing speed (0.006 seconds for client and server) and energy efficiency (3.65W client, 95.4W server), offering a quantum-resistant security level comparable to AES-128. This represents a security-efficiency ratio of 21.33 bits per millisecond, a 25.6% improvement in client-side processing speed, and up to 44% reduction in server-side energy consumption compared to conventional RSA-2048 methods. These improvements enable real-time encryption of continuous health data streams in IoT environments, making it ideal for IoT devices where AES-128′s smaller footprint is advantageous. By prioritizing high-grade encryption alongside ease of use and implementation, the proposed framework presents a future-proof solution that anticipates the trajectory of cryptographic standards amid advancing quantum computing technologies, signifying a pivotal advancement in safeguarding IoT-driven healthcare data.

智能家居医疗保健的优化混合加密框架:确保数据保密性和安全性
本研究提出了一种优化的混合加密框架,在 EAX 模式下将 ECC-256r1 与 AES-128 相结合,专为智能家居医疗保健环境量身定制,并进行了全面调查以验证其性能。我们的框架解决了当前在保护敏感健康数据安全方面的局限性,并展示了对新兴量子计算威胁的抵御能力。通过严格的实验评估,我们发现所提出的配置在安全性、处理速度和能效方面都优于现有解决方案。它采用了一种稳健而精简的方法,经过精心设计,确保简单实用,便于无缝集成到现有系统中,而不会带来不必要的复杂性。我们的研究证实,该框架有能力抵御常见的网络安全威胁,如 MITM、重放和 Sybil 攻击,同时积极主动地考虑量子恢复能力。所提出的方法在处理速度(客户端和服务器均为 0.006 秒)和能效(客户端 3.65 瓦,服务器 95.4 瓦)方面表现出色,提供了与 AES-128 不相上下的量子抗性安全级别。与传统的 RSA-2048 方法相比,其安全效率比为每毫秒 21.33 比特,客户端处理速度提高了 25.6%,服务器端能耗降低了 44%。这些改进实现了对物联网环境中连续健康数据流的实时加密,使其成为物联网设备的理想选择,因为 AES-128 占用空间更小。通过将高级加密与易用性和实施性放在首位,所提出的框架提供了一个面向未来的解决方案,在量子计算技术不断进步的情况下预测了加密标准的发展轨迹,标志着在保护物联网驱动的医疗保健数据方面取得了关键性进展。
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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
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