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20162023
most citedPractical Approaches Towards Deep-Learning Based Cross-Device Power Side Channel Attack

78 citations · 378 across the 35 of their papers we have counts for

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Showing cs.CRShow all

8 papers · 1 filter

cs.CR2023

A 334W 0.158mm ASIC for Post-Quantum Key-Encapsulation Mechanism Saber with Low-latency Striding Toom-Cook Multiplication Authors Version

Archisman Ghosh, Jose Maria Bermudo Mera, Angshuman Karmakar +4

The hard mathematical problems that assure the security of our current public-key cryptography (RSA, ECC) are broken if and when a quantum computer appears rendering them ineffecti…

cs.CR2020★ 5 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.CR2020★ 2 cited

Physical Time-Varying Transfer Functions as Generic Low-Overhead Power-SCA Countermeasure

Archisman Ghosh, Debayan Das, Shreyas Sen

Mathematically-secure cryptographic algorithms leak significant side channel information through their power supplies when implemented on a physical platform. These side channel le…

cs.CR2019★ 3 cited

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…

cs.CR2018★ 31 cited

RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning

Baibhab Chatterjee, Debayan Das, Shovan Maity +1

Traditional authentication in radio-frequency (RF) systems enable secure data communication within a network through techniques such as digital signatures and hash-based message au…

cs.CR2018★ 6 cited

RF-PUF: IoT Security Enhancement through Authentication of Wireless Nodes using In-situ Machine Learning

Baibhab Chatterjee, Debayan Das, Shreyas Sen

Physical unclonable functions (PUF) in silicon exploit die-to-die manufacturing variations during fabrication for uniquely identifying each die. Since it is practically a hard prob…

cs.CR2017★ 5 cited

TRIFECTA: Security, Energy-Efficiency, and Communication Capacity Comparison for Wireless IoT Devices

Shreyas Sen, Jinkyu Koo, Saurabh Bagchi

The widespread proliferation of sensor nodes in the era of Internet of Things (IoT) coupled with increasing sensor fidelity and data acquisition modality is expected to generate 3+…

cs.CR2017★ 74 cited

High Efficiency Power Side-Channel Attack Immunity using Noise Injection in Attenuated Signature Domain

Debayan Das, Shovan Maity, Saad Bin Nasir +3

With the advancement of technology in the last few decades, leading to the widespread availability of miniaturized sensors and internet-connected things (IoT), security of electron…