A
Ayesha Khalid
Researcher at Queen's University Belfast
Publications - 79
Citations - 905
Ayesha Khalid is an academic researcher from Queen's University Belfast. The author has contributed to research in topics: Cryptography & Computer science. The author has an hindex of 10, co-authored 46 publications receiving 436 citations. Previous affiliations of Ayesha Khalid include RWTH Aachen University & University of Lugano.
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Journal ArticleDOI
Using Blockchain for Electronic Health Records
TL;DR: The aim of this proposed framework is firstly to implement blockchain technology for EHR and secondly to provide secure storage of electronic records by defining granular access rules for the users of the proposed framework.
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On Practical Discrete Gaussian Samplers for Lattice-Based Cryptography
TL;DR: The first comprehensive evaluation of discrete Gaussian samplers in hardware is presented, targeting FPGA devices, offering security against side-channel timing attacks, including the first proposed constant-time Bernoulli, Knuth-Yao, and discrete Ziggurat sampler hardware designs.
Journal ArticleDOI
Optimized Schoolbook Polynomial Multiplication for Compact Lattice-Based Cryptography on FPGA
TL;DR: An optimized schoolbook polynomial multiplication (SPM) for compact LBC is proposed, exploiting the symmetric nature of Gaussian noise for bit reduction and achieving high hardware efficiency with reduced hardware area costs.
Journal ArticleDOI
An Efficient and Parallel R-LWE Cryptoprocessor
TL;DR: This brief proposes an efficient and parallel strategy for SPM in R-LWE; by successfully reducing its time complexity, the polynomial multiplication and addition blocks are reused for both encryption and decryption modules resulting in 14% reduced area and better throughput in comparison to state-of-art SPM based R- LWE designs.
Proceedings ArticleDOI
CoARX: a coprocessor for ARX-based cryptographic algorithms
TL;DR: A novel crypto-coprocessor, named CoARX, supporting multiple cryptographic algorithms based on Addition, Rotation and eXclusive-or (X) operations is proposed, which offers excellent performance-flexibility trade-off including adaptability to resist generic cryptanalysis.