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20172022
most citedFast and Accurate Likelihood Ratio Based Biometric Comparison in the Encrypted Domain

4 citations · 8 across the 5 of their papers we have counts for

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cs.CR2022

Identifying Near-Optimal Single-Shot Attacks on ICSs with Limited Process Knowledge

Herson Esquivel-Vargas, John Henry Castellanos, Marco Caselli +2

Industrial Control Systems (ICSs) rely on insecure protocols and devices to monitor and operate critical infrastructure. Prior work has demonstrated that powerful attackers with de…

cs.CR20212 cited

Obfuscated Access and Search Patterns in Searchable Encryption

Zhiwei Shang, Simon Oya, Andreas Peter +1

Searchable Symmetric Encryption (SSE) allows a data owner to securely outsource its encrypted data to a cloud server while maintaining the ability to search over it and retrieve ma…

cs.CR2021

Biometric Verification Secure Against Malicious Adversaries

Amina Bassit, Florian Hahn, Joep Peeters +3

Biometric verification has been widely deployed in current authentication solutions as it proves the physical presence of individuals. To protect the sensitive biometric data in su…

cs.CR20202 cited

Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports

Valentine Legoy, Marco Caselli, Christin Seifert +1

Over the last years, threat intelligence sharing has steadily grown, leading cybersecurity professionals to access increasingly larger amounts of heterogeneous data. Among those, c…

cs.CR20174 cited

Fast and Accurate Likelihood Ratio Based Biometric Comparison in the Encrypted Domain

Joep Peeters, Andreas Peter, Raymond N. J. Veldhuis

As applications of biometric verification proliferate, users become more vulnerable to privacy infringement. Biometric data is very privacy sensitive as it may contain information…