FPGA Implementation of Masked-AE$HA-2 for Digital Signature Application

Sravani, M. M.; Sundararajan, Ananiah Durai; Reddy, M. Purushotham; Sowjanya, G.; Ahmad, Nabihah

doi:10.1007/978-981-19-0332-8_35

Cited by 2 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two reported relevant works have been taken in to consideration for system level Latency comparison. The design in [39] has demonstrated key generation technique utilizing the conventional SHA-3 and SHA-2 architectures. Whereas, the other in [40] demonstrated improved security utilizing a dual encryption technique based masked key AES engine along with SHA-2.…”

Section: A Evaluation Of Bio-hash Key Generatormentioning

confidence: 99%

“…The design in [39] has demonstrated key generation technique utilizing the conventional SHA-3 and SHA-2 architectures. Whereas, the other in [40] demonstrated improved security utilizing a dual encryption technique based masked key AES engine along with SHA-2. A bar chart comparative analysis with these above two reported works has (shown in Fig.…”

Section: A Evaluation Of Bio-hash Key Generatormentioning

confidence: 99%

“…14), revealed that the proposed work in Write mode out performed in terms of Latency performance though the frequency is comparatively low. Frequency(in MHz) [39] [40] [40] Write mode Latency Frequency Fig. 14.…”

Section: A Evaluation Of Bio-hash Key Generatormentioning

confidence: 99%

See 2 more Smart Citations

Bio-Hash Secured Hardware e-Health Record System

Sravani

Sundararajan

2023

IEEE Trans. Biomed. Circuits Syst.

View full text Add to dashboard Cite

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 prescrambled 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.

show abstract

Section: A Evaluation Of Bio-hash Key Generatormentioning

confidence: 99%

Section: A Evaluation Of Bio-hash Key Generatormentioning

confidence: 99%