Results 141 to 150 of about 61,658 (310)

On the effective exploitation of distributed information for cooperative network security and routing optimization

, 2008
The wide deployment of more and more sophisticated services and application over Internet imposes to careful project solutions for face the threats that this spreading involved.
Oliviero, Francesco
core  

Assessing Industrial Control System Attack Datasets for Intrusion Detection

, 2018
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, Ernest Foo, Wang, Xuelei, Foo, Ernest   +3 more
core   +1 more source

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie, Xiaotong Li, Venkata Sita Priyanka Illapani, Leigh N. Sepeta, Jason Schroeder, Chima O. Oluigbo, Madison M. Berl, William D. Gaillard, Nathan T. Cohen   +8 more
wiley   +1 more source

Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response

In the dynamic landscape of network security, where cyberattacks continuously evolve, robust and adaptive detection mechanisms are essential, particularly for safeguarding Internet of Things (IoT) networks.
Chrysoulas, Christos, Liu, Xiaodong, Chrysoulas, Christos; id_orcid, Kalutharage, Chathuranga Sampath   +3 more
core   +1 more source

Network Intrusion Detection and Attack Type Classification using Machine Learning

, 2022
In handling vulnerabilities in computer networks, Network Intrusion Detection System (NIDs) plays a vital role. Complex and time-varying network packets are flowing between connected networks and a large portion of the network data may remain normal ...
Mawla, Tanjila, Eberle, William
core  

A 57‐Year‐Old Male With Behavioral Variant Frontotemporal Dementia and MATR3 and NOS3 Mutations

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This report presents a case of behavioral variant frontotemporal dementia caused by mutations in the MATR3 and NOS3 genes, aiming to analyze its clinical manifestations and genetic characteristics. For a case presenting with personality changes and gait abnormalities as the initial symptoms, this study conducted a comprehensive analysis of its
Feifei Lin, Saie Huang
wiley   +1 more source

Review on Detection and Mitigation of Sybil Attack in the Network

, 2016
Sybil attack is an attack in which the identities of the node are subverted and the large number of pseudonymous identities is produced to gain the access of the network.
Bhise, Arpita M., Kamble, Shailesh D.
core   +1 more source

Differential Item Functioning on the Patient Health Questionnaire 8 by Disease Subtype, Language, Sex, and Age Among People With Systemic Sclerosis: A Scleroderma Patient‐Centered Intervention Network Cohort Study

Arthritis Care &Research, EarlyView.
Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu, Marie‐Eve Carrier, Marie‐Claude Geoffroy, Meira Golberg, Linda Kwakkenbos, Susan J. Bartlett, Catherine Fortuné, Amy Gietzen, Karen Gottesman, Geneviève Guillot, Laura K. Hummers, Amanda Lawrie‐Jones, Vanessa L. Malcarne, Michelle Richard, Maureen Sauvé, Luc Mouthon, Andrea Benedetti, Brett D. Thombs, on behalf of the SPIN Investigators, Claire E. Adams, Marie Hudson, Maureen D. Mayes, James Stempel, Robyn K. Wojeck, Christian Agard, Laurent Alric, Marc André, Floryan Beaslay, Elana J. Bernstein, Sabine Berthier, Lyne Bissonnette, Sophie Blaise, Eva Bories, Alessandra Bruns, Carlotta Cacciatore, Patricia Carreira, Marion Casadevall, Benjamin Chaigne, Lorinda Chung, Benjamin Crichi, Thylbert Deltombe, Christopher P. Denton, Tannvir Desroche, Robyn Domsic, James V. Dunne, Bertrand Dunogue, Regina Fare, Dominique Farge‐Bancel, Paul R. Fortin, Tracy Frech, Loraine Gauzère, Anne Gerber, Jessica K. Gordon, Brigitte Granel‐Rey, Aurélien Guffroy, Geneviève Gyger, Eric Hachulla, Daphna Harel, Monique Hinchcliff, Sabrina Hoa, Michael Hugues, Alena Ikic, Sindhu R. Johnson, Nader Khalidi, Kimberly S. Lakin, Marc Lambert, Maggie Larche, David Launay, Yvonne C. Lee, Paul Legendre, Catarina Leite, Hélène Maillard, Nancy Maltez, Joanne Manning, Isabelle Marie, Maria Martin Lopez, Thierry Martin, Ariel Masetto, Arsène Mekinian, Sheila Melchor Díaz, Morgane Mourguet, Christelle Nguyen, Karen Nielsen, Mandana Nikpour, Louis Olagne, Vincent Poindron, Janet Pope, Susanna Proudman, Grégory Pugnet, Loïc Raffray, François Rannou, Alexis Régent, Frederic Renou, Sébastien Rivière, David Robinson, Esther Rodríguez Almazar, Tatiana Sofia Rodríguez‐Reyna, Sophie Roux, Perrine Smets, Vincent Sobanski, Robert F. Spiera, Virginia Steen, Evelyn Sutton, Carter Thorne, Damien Vagner, John Varga, Pearce Wilcox, Vanessa Cook, Cassidy Dal Santo, Monica D'Onofrio, Elsa‐Lynn Nassar   +110 more
wiley   +1 more source

Attack detection model for BCoT based on contrastive variational autoencoder and metric learning

Journal of Cloud Computing: Advances, Systems and Applications
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, Xiaolei Liu, Kangyi Ding, Bangzhou Xin, Jiazhong Lu, Jiayong Liu, Cheng Huang   +6 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source