Results 41 to 50 of about 397,726 (299)

Experimental testbed for side channel analysis [PDF]

open access: yes, 2023
This thesis deals with getting familiar with the problematics of side channels. Theoretical part is described by basic concepts, types of side-channels and some possible side-channel attacks.
Vidlařová, Pavla
core   +2 more sources

Forensic Insights From Smartphones Through Electromagnetic Side-Channel Analysis

open access: yesIEEE Access, 2021
The increasing use of smartphones has increased their presence in legal and corporate investigations. Unlike desktop and laptop computers, forensic analysis of smartphones is a challenging task due to their limited interfaces to retrieve information of ...
Asanka P. Sayakkara, Nhien-An Le-Khac
doaj   +1 more source

JitSCA: Jitter-based Side-Channel Analysis in Picoscale Resolution

open access: yesTransactions on Cryptographic Hardware and Embedded Systems, 2023
In safety and security conscious environments, isolated communication channels are often deemed necessary. Galvanically isolated communication channels are typically expected not to allow physical side-channel attacks through that channel.
Kai Schoos   +3 more
doaj   +1 more source

Polynomial Evaluation and Side Channel Analysis [PDF]

open access: yes, 2016
Side Channel Analysis (SCA) is a class of attacks that exploits leakage of information from a cryptographic implementation during execution. To thwart it, masking is a common countermeasure. The principle is to randomly split every sensitive intermediate variable occurring in the computation into several shares and the number of shares, called the ...
Carlet, Claude, Prouff, Emmanuel
openaire   +3 more sources

Weakly Profiling Side-channel Analysis

open access: yesTransactions on Cryptographic Hardware and Embedded Systems
Profiling side-channel analysis, recognized for its robust attack performance in worst-case scenarios, necessitates adversaries to have a cloned device for profiling measurements and secret information for data labeling.
Lichao Wu   +2 more
doaj   +1 more source

Template Attacks vs. Machine Learning Revisited (and the Curse of Dimensionality in Side-Channel Analysis) [PDF]

open access: yes, 2015
Template attacks and machine learning are two popular approaches to profiled side-channel analysis. In this paper, we aim to contribute to the understanding of their respective strengths and weaknesses, with a particular focus on their curse of ...
Markowitch, Olivier   +10 more
core   +1 more source

Butterfly-attack on Skein's modular addition [PDF]

open access: yes, 2022
S.215-230At the cutting edge of todays security research and development, the SHA-3 contest evaluates a new successor of SHA-2 for secure hashing operations. One of the finalists is the SHA-3 candidate Skein.
Kasper, M., Stöttinger, M., Zohner, M.
core   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai   +9 more
wiley   +1 more source

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

open access: yesFEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

Convolutional Neural Networks for Profiled Side-channel Analysis [PDF]

open access: yesRadioengineering, 2019
Recent studies have shown that deep learning algorithms are very effective for evaluating the security of embedded systems. The deep learning technique represented by Convolutional Neural Networks (CNNs) has proven to be a promising paradigm in the ...
S. R. Hou, Y. J. Zhou, H. M. Liu
doaj  

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