Results 121 to 130 of about 24,747,750 (286)
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
wiley +1 more source
Designing Sparse AC False Data Injection Attack
False Data Injection (FDI) attacks pose significant threats by manipulating measurement data, leading to incorrect state estimation. Although numerous studies have focused on designing DC FDI attacks, few have addressed AC FDI attacks due to the ...
Iranpour, Mohammadreza +1 more
core
ABSTRACT Background Exposures to human pathogens and toxins in licensed facilities in Canada have been monitored by a federal surveillance system since 2015, yet the affected persons (APs) in these incidents remain uncharacterized. This study comprehensively describes APs, highlighting sector‐specific patterns and trends over time.
Emily F. Tran +4 more
wiley +1 more source
Detection method of false data injection attack based on unsupervised and supervised learning
False data injection attack (FDIA) is a serious threat to the security and stable operation of smart grids. In this paper, a FDIA detection algorithm that combines unsupervised and supervised learning is proposed, solving the problems of scarce labeled ...
HUANG Dongmei +5 more
doaj +1 more source
PSO-based Moving Target Defense for Enhanced False Data Injection Attack Prevention in Smart Grids
PSO-based Moving Target Defense for Enhanced False Data Injection Attack Prevention in Smart ...
A Srivastava (9894239) +4 more
core
Two closely related BALB/c substrains exhibit different early responses to adriamycin (ADR)‐induced nephropathy. BALB/cByJcl mice showed lower baseline WT1‐positive nuclei counts and NPHS1 immunoreactivity than BALB/cAJcl mice, together with extracellular matrix and integrin programs that were enriched at baseline and persisted at Day 5.
Ryuya Nakagawa +5 more
wiley +1 more source
ObjectivesPower systems are facing threats of false data injection attacks. Existing detection methods for false data injection attacks have the problems of insufficient feature learning ability and slow detection speed, making it difficult to locate ...
XI Lei +3 more
doaj +1 more source
Patient‐Derived Fibroblasts as a Clinically Relevant Model of Kearns–Sayre Syndrome
Objective Kearns–Sayre syndrome (KSS) is characterized by single large‐scale mitochondrial DNA deletions and by severe early‐onset clinical manifestations with neurological involvement. Reliable disease models, as well as validated biomarkers or effective treatments, are lacking.
Laura Valls‐Roca +24 more
wiley +1 more source
Distributed Attack-Resilient Platooning Against False Data Injection
This paper presents a novel distributed vehicle platooning control and coordination strategy. We propose a distributed predecessor-follower CACC scheme that allows to choose an arbitrarily small inter-vehicle distance while guaranteeing no rear-end collisions occur, even in the presence of undetected cyber-attacks on the communication channels such as ...
Lorenzo Lyons +2 more
openaire +4 more sources
Safety and Feasibility of Magnetic Separation‐Based Blood Purification
We present the preclinical biological safety and translational feasibility of a magnetic nanoparticle‐based extracorporeal blood purification platform for removal of disease‐causing blood factors. ISO 10993‐compliant studies and exaggerated worst‐case exposure models demonstrate efficient nanoparticle extraction (≥99.9%), favorable biocompatibility ...
Carlos A. Mora +11 more
wiley +1 more source

