IEEE Trans Biomed Circuits Syst. 2023 Jun;17(3):420-432. doi: 10.1109/TBCAS.2023.3263177. Epub 2023 Jul 12.
Dual securing strategy for all-hardware e-Health Record System is designed and developed for improved security and reduced Hardware Execution Time (HET). A compact novel Hashed Minutiae Random Fusion (HMRF) logic enables to achieve high irreversibility and increased non-reconstruction capability of the bio-template based Bio-Hash key. AES encryption of the patient's health data during Write mode and decryption during View mode are seamlessly performed through the lively generated key, yielding low HET through optimized slack. On the other hand, biometric controlled key retrieval during Read only mode for a single user access is performed on the pre-scrambled Bio-Hash key, to enable bypassed decryption (direct) of the Patient's health data for self-review. The proposed pseudo cascaded SHA-3 (Secured Hash Algorithm) architecture being the first stage in HMRF, hashes the biometric minutiae of both Patient (P) and Medical Practitioner (MP) with low Latency. Thus, facilitating in further lowering of the HET by reducing the clock count by one. The subsequent Random Compression Logic (RCL) skims the hashed value from 512 to 128 bits along with the help of priority compression logic (PCL) to achieve reduced bits handling thereby lowering the Power budget. Four fusion modes are leveraged to achieve better randomization and non-recoverability. Implementation of this HMRF logic on Virtex-7 (V7) FPGA device has yielded low Area of 4191 slices. Lesser Area of 11.6% is observed for this HMRF module compared to the reported design, excluding level shifter and PCL. Further, low HETs of 8.2/8.3/8.0 ns during Write/View/Read only modes respectively are being noticed. The dynamic Power dissipated for the three modes of operations are found to be 1.418/1.420/0.676 watts respectively.
用于改进安全性和降低硬件执行时间 (HET) 的全硬件电子健康记录系统的双安全策略被设计和开发。紧凑新颖的哈希细节随机融合 (HMRF) 逻辑可实现生物模板的高不可逆转性和增强的非重构能力基于生物哈希密钥的能力。在写入模式下对患者健康数据进行 AES 加密,在查看模式下对其进行解密,通过动态生成的密钥无缝执行,通过优化松弛实现低 HET。另一方面,在只读模式下仅对单个用户访问执行生物识别控制的密钥检索,对预混频的生物哈希密钥执行,以实现绕过解密 (直接) 患者健康数据进行自我审查。所提出的伪级联 SHA-3(安全哈希算法)架构作为 HMRF 的第一阶段,以低延迟对患者 (P) 和医疗从业者 (MP) 的生物特征细节进行哈希处理。因此,通过减少一个时钟计数来进一步降低 HET。随后的随机压缩逻辑 (RCL) 在优先级压缩逻辑 (PCL) 的帮助下从 512 位到 128 位缩减哈希值,以实现减少位处理从而降低功耗预算。利用四种融合模式实现更好的随机性和不可恢复性。在 Virtex-7 (V7) FPGA 设备上实现此 HMRF 逻辑,面积减少到 4191 个切片。与报告的设计相比,观察到该 HMRF 模块的面积减少了 11.6%,不包括电平转换器和 PCL。此外,在写入/查看/仅读取模式下,分别观察到低 HET 为 8.2/8.3/8.0 ns。三种操作模式的动态功耗分别为 1.418/1.420/0.676 瓦。