Sam Grierson

11 papers C 2Misc 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comparative Analysis of Hash-based Malware Clustering via K-Means.
CoRR
Aink Acrie Soe Thein, Nikolaos Pitropakis, Pavlos Papadopoulos, Sam Grierson, Sana Ullah Jan
2024 J jnl
A Framework for the Security and Privacy of Biometric System Constructions under Defined Computational Assumptions.
CoRR
Sam Grierson, William J. Buchanan, Craig Thomson, Baraq Ghaleb, Chris Eckl
2024 J jnl
DID: RING: Ring Signatures using Decentralised Identifiers For Privacy-Aware Identity.
CoRR
Dimitrios Kasimatis, Sam Grierson, William J. Buchanan, Chris Eckl, Pavlos Papadopoulos, Nikolaos Pitropakis, Craig Thomson, Baraq Ghaleb
2024 Misc conf
DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof.
CSR
Dimitrios Kasimatis, Sam Grierson, William J. Buchanan, Chris Eckl, Pavlos Papadopoulos, Nikolaos Pitropakis, Christos Chrysoulas, Craig Thomson, Baraq Ghaleb
2024 C conf
Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode.
ICISSP
William J. Buchanan, Sam Grierson, Daniel Uribe
2024 J jnl
Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) using Bilinear Group Accumulators in Batch Mode.
CoRR
William J. Buchanan, Sam Grierson, Daniel Uribe
2023 — conf
Double Public Key Signing Function Oracle Attack on EdDSA Software Implementations.
CAMAD
Sam Grierson, Konstantinos Chalkias, William J. Buchanan, Leandros Maglaras
2023 J jnl
Double Public Key Signing Function Oracle Attack on EdDSA Software Implementations.
CoRR
Sam Grierson, Konstantinos Chalkias, William J. Buchanan
2023 — conf
Scalable Multi-domain Trust Infrastructures for Segmented Networks.
CAMAD
Sam Grierson, William J. Buchanan, Craig Thomson, Baraq Ghaleb, Leandros Maglaras, Chris Eckl
2023 J jnl
Scalable Multi-domain Trust Infrastructures for Segmented Networks.
CoRR
Sam Grierson, William J. Buchanan, Craig Thomson, Baraq Ghaleb, Leandros Maglaras, Chris Eckl
2021 C conf
Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems.
SIN
Sam Grierson, Craig Thomson, Pavlos Papadopoulos, Bill Buchanan