Results 101 to 110 of about 3,308,846 (296)
Attack detection model for BCoT based on contrastive variational autoencoder and metric learning
With development of blockchain technology, clouding computing and Internet of Things (IoT), blockchain and cloud of things (BCoT) has become development tendency. But the security has become the most development hinder of BCoT.
Chunwang Wu +6 more
doaj +1 more source
SPG4 and Dementia: Expanding the Clinical Spectrum
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples
As a new programming paradigm, deep learning (DL) has achieved impressive performance in areas such as image processing and speech recognition, and has expanded its application to solve many real-world problems. However, neural networks and DL are normally black-box systems; even worse, DL-based software are vulnerable to threats from ...
Zhe Zhao 0007 +6 more
openaire +3 more sources
MalwareLab: Experimentation with Cybercrime Attack Tools [PDF]
Cybercrime attack tools (i.e. Exploit Kits) are reportedly responsible for the majority of attacks affecting home users. Exploit kits are traded in the black markets at different prices and advertising different capabilities and functionalities.
Allodi, Luca +2 more
core
Assessing Industrial Control System Attack Datasets for Intrusion Detection
With the rapid development of networks and computers, industrial control systems (ICS) have become more interconnected. Many ICS are allowed remote interactions through the Internet. This increases the security risks of being attacked.
Xuelei Wang +3 more
core +1 more source
The Role of Calcitonin Gene‐Related Peptide in High‐Altitude Headache: A Prospective Field Study
ABSTRACT Objective High‐altitude headache (HAH) is a common neurological condition associated with rapid ascent to high altitude. The pathophysiological mechanisms underlying HAH remain incompletely understood. Calcitonin gene‐related peptide (CGRP), a neuropeptide implicated in migraine pathophysiology, may play a key role in the pathophysiology of ...
Roman Schniepp +4 more
wiley +1 more source
The diploma thesis is focused on the detection of a slow DoS attack named SlowDrop. The attack tries to imitate a legitimate person with a slow internet connection and does not show a new strong signature, so the attack is difficult to detect.
Náčin, Peter
core
"Protecting Higher Education from Attack” (with M. Novelli)
While there is a growing body of work investigating the scale, nature and impact of attacks on children and schools, far less attention has been placed on attacks on higher education, and still less on the protection and prevention measures that are ...
Selenica Ervjola
core +1 more source
Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +1 more source

