Ahmed Shakeel, Naga Srinivasu Parvathaneni, Alhumam Abdulaziz
Department of Computer Science, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Department of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada 520007, India.
Sensors (Basel). 2023 Jul 20;23(14):6564. doi: 10.3390/s23146564.
Ambient assisted technology (AAT), which has the potential to enhance patient care and productivity and save costs, has emerged as a strategic goal for developing e-healthcare in the future. However, since the healthcare sensor must be interconnected with other systems at different network tiers, distant enemies have additional options to attack. Data and resources integrated into the AAT are vulnerable to security risks that might compromise privacy, integrity, and availability. The gadgets and network sensor devices are layered with clinical data since they save personal information such as patients' names, addresses, and medical histories. Considering the volume of data, it is difficult to ensure its confidentiality and security. As sensing devices are deployed over a wider region, protecting the privacy of the collected data becomes more difficult. The current study proposes a lightweight security mechanism to ensure the data's confidentiality and integrity of the data in ambient-assisted technology. In the current study, the data are encrypted by the master node with adequate residual energy, and the master node is responsible for encrypting the data using the data aggregation model using a node's key generated using an exclusive basis system and a Chinese remainder theorem. The integrity of the data is evaluated using the hash function at each intermediate node. The current study defines the design model's layered architecture and layer-wise services. The model is further analyzed using various evaluation metrics, such as energy consumption, network delay, network overhead, time in generating hash, tradeoff between encryption and decryption, and entropy metrics. The model is shown to adequately perform on all measures considered in the analysis.
环境辅助技术（AAT）有潜力提高患者护理水平和生产力并节省成本，已成为未来发展电子医疗保健的战略目标。然而，由于医疗保健传感器必须在不同网络层级与其他系统互连，远程攻击者有更多攻击选项。集成到AAT中的数据和资源容易受到安全风险的影响，这些风险可能会损害隐私、完整性和可用性。小工具和网络传感器设备存储着临床数据，因为它们保存着患者姓名、地址和病史等个人信息。考虑到数据量，很难确保其保密性和安全性。随着传感设备在更广泛区域的部署，保护所收集数据的隐私变得更加困难。当前研究提出了一种轻量级安全机制，以确保环境辅助技术中数据的保密性和完整性。在当前研究中，数据由具有足够剩余能量的主节点进行加密，主节点负责使用基于异或系统和中国剩余定理生成的节点密钥，通过数据聚合模型对数据进行加密。在每个中间节点使用哈希函数评估数据的完整性。当前研究定义了设计模型的分层架构和逐层服务。使用各种评估指标，如能耗、网络延迟、网络开销、生成哈希的时间、加密和解密之间的权衡以及熵指标，对该模型进行了进一步分析。结果表明，该模型在分析中考虑的所有指标上都能充分发挥作用。
