activity
20182022
most citedPractical Approaches Towards Deep-Learning Based Cross-Device Power Side Channel Attack

78 citations · 90 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR20227 cited

A Unified Cryptoprocessor for Lattice-based Signature and Key-exchange

Aikata Aikata, Ahmet Can Mert, David Jacquemin +4

We propose design methodologies for building a compact, unified and programmable cryptoprocessor architecture that computes post-quantum key agreement and digital signature. Synerg…

cs.CR20205 cited

EM-X-DL: Efficient Cross-Device Deep Learning Side-Channel Attack with Noisy EM Signatures

Josef Danial, Debayan Das, Anupam Golder +3

This work presents a Cross-device Deep-Learning based Electromagnetic (EM-X-DL) side-channel analysis (SCA), achieving >90% single-trace attack accuracy on AES-128, even in the pre…

cs.CR2019

SCNIFFER: Low-Cost, Automated, Efficient Electromagnetic Side-Channel Sniffing

Josef Danial, Debayan Das, Santosh Ghosh +2

Electromagnetic (EM) side-channel analysis (SCA) is a prominent tool to break mathematically-secure cryptographic engines, especially on resource-constrained IoT devices. Presently…

eess.SP201978 cited

Practical Approaches Towards Deep-Learning Based Cross-Device Power Side Channel Attack

Anupam Golder, Debayan Das, Josef Danial +3

Power side-channel analysis (SCA) has been of immense interest to most embedded designers to evaluate the physical security of the system. This work presents profiling-based cross-…

cs.CR2018

Blindsight: Blinding EM Side-Channel Leakage using Built-In Fully Integrated Inductive Voltage Regulator

Monodeep Kar, Arvind Singh, Sanu Mathew +5

Modern high-performance as well as power-constrained System-on-Chips (SoC) are increasingly using hardware accelerated encryption engines to secure computation, memory access, and…