Results 61 to 70 of about 24,883,380 (250)
An Automated End-to-End Side Channel Analysis Based on Probabilistic Model
Applied Sciences, 2020 In this paper, we propose a new automated way to find out the secret exponent from a single power trace. We segment the power trace into subsignals that are directly related to recovery of the secret exponent.
Jeonghwan Hwang, Ji Won Yoon
doaj +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
Semi-Automatic Locating of Cryptographic Operations in Side-Channel Traces
Transactions on Cryptographic Hardware and Embedded Systems, 2021 Locating a cryptographic operation in a side-channel trace, i.e. finding out where it is in the time domain, without having a template, can be a tedious task even for unprotected implementations. The sheer amount of data can be overwhelming.
Jens Trautmann +5 more
doaj +1 more source
ASCA vs. SASCA. A Closer Look at the AES Key Schedule
, 2023 6585We compare two key recovery methods for single trace attacks on the AES key schedule. The 2018 CHES capture-the-flag (CTF) challenge which includes an unprotected key schedule raises the question, which method performs best during key recovery: Soft ...
Unterstein, Florian +4 more
core +1 more source
Structural and biochemical analysis of a B12 superbinder
FEBS Letters, EarlyView.BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices +3 more
wiley +1 more source
Deep Learning-based Side Channel Attack on HMAC SM3.
International Journal of Interactive Multimedia and Artificial Intelligence, 2020 SM3 is a Chinese hash standard. HMAC SM3 uses a secret key to encrypt the input text and gives an output as the HMAC of the input text. If the key is recovered, adversaries can easily forge a valid HMAC.
Xin Jin +3 more
doaj +1 more source
FEBS Letters, EarlyView.Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
Experimental testbed for side channel analysis
, 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 +1 more source
Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis
Transactions on Cryptographic Hardware and Embedded Systems, 2022 One of the main promoted advantages of deep learning in profiling sidechannel analysis is the possibility of skipping the feature engineering process.
Guilherme Perin +2 more
doaj +1 more source