Results 101 to 110 of about 230,889 (263)

Practical Algebraic Side-Channel Attacks Against ACORN [PDF]

open access: yes, 2019
The authenticated cipher ACORN is one of the two finalists of the CAESAR competition and is intended for lightweight applications. Because such use cases require protection against physical attacks, several works have been undertaken to achieve secure implementations. Although dedicated threshold and masked schemes have been proposed, no practical side-
Adomnicai, Alexandre   +2 more
openaire   +3 more sources

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

open access: yesAdvanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Spleen‐Targeting Biomimetic Hybrid Nanocarriers for Systemic Immune Reprogramming in Colitis: RBC Membrane Vesicle‐Fused Lipid Nanoparticles

open access: yesAdvanced Functional Materials, EarlyView.
A spleen‐targeting hybrid nanoplatform (RBCMV‐LNP‐RP) harnessing erythrophagocytosis mimics senescent red blood cell clearance to achieve spleen‐specific delivery of rapamycin. This biomimetic system enables selective accumulation in splenic macrophages, orchestrating systemic immune reprogramming and promoting mucosal healing in an inflammatory bowel ...
Jun Kwon   +10 more
wiley   +1 more source

Reconfigurable Magnetic Soft Microrobot for Acoustically Triggered Targeted Bacterial Sterilization

open access: yesAdvanced Functional Materials, EarlyView.
Reconfigurable magnetic soft microrobots integrate in situ‐grown piezoelectric zinc oxide nanorods that produce reactive oxygen species upon acoustic excitation. Combining magnetically guided transport with thermally induced planar reconfiguration, the microrobots achieve targeted delivery and enhanced bacterial sterilization through efficient on ...
Quan Gao   +12 more
wiley   +1 more source

Cyber-Security Threats and Side-Channel Attacks for Digital Agriculture. [PDF]

open access: yesSensors (Basel), 2022
Alahmadi AN   +5 more
europepmc   +1 more source

Electroactive Liquid Crystal Elastomers as Soft Actuators

open access: yesAdvanced Functional Materials, EarlyView.
Electroactive liquid crystal elastomers (eLCEs) can be actuated via electromechanical, electrochemical, or electrothermal effects. a) Electromechanical effects include Maxwell stress, electrostriction, and the electroclinic effect. b) Electrochemical effects arise from electrode redox reactions.
Yakui Deng, Min‐Hui Li
wiley   +1 more source

Chameleon: A Dataset for Segmenting and Attacking Obfuscated Power Traces in Side-Channel Analysis

open access: yesTransactions on Cryptographic Hardware and Embedded Systems
Side-channel attacks exploit unintended information leakage emitted by cryptographic devices to extract sensitive data. Hiding techniques are a cost-effective countermeasure designed to obfuscate the side-channel leakage and hinder these attacks ...
Davide Galli   +2 more
doaj   +1 more source

Tuning the Electronic Structure and Spin State of Fe─N─C Catalysts Using an Axial Oxygen Ligand and Fe Clusters for High‐Efficiency Rechargeable Zinc–Air Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou   +8 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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