Attack graph - Open Access .click

Results 91 to 100 of about 42,568 (290)

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

Arthritis Care &Research, EarlyView.
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo +88 more
wiley +1 more source

Towards a standardised attack graph visual syntax [PDF]

More research needs to focus on developing effective methods of aiding the understanding and perception of cyber-attacks. Attack modelling techniques (AMTs) - such as attack graphs, attack trees and fault trees, are popular methods of mathematically and ...
Lallie, Harjinder Singh
core

Marked Long‐Term Improvement in Lung Function in Melanoma Differentiation–Associated Protein 5 Antibody–Positive Dermatomyositis Patients: Experience of a Single‐Center Longitudinal Cohort in North America

Arthritis Care &Research, EarlyView.
Objective The objective of this study was to describe the longitudinal disease course and pulmonary outcomes of North American patients with melanoma differentiation–associated protein 5 (MDA5) antibody–associated dermatomyositis (DM). Methods Thirty patients with MDA5 antibody–associated DM were identified in a single‐center longitudinal cohort of 352
Jenice X. Cheah +8 more
wiley +1 more source

A Scalable Approach to Attack Graph Generation

, 2006
Attack graphs are important tools for analyzing security vulnerabilities in enterprise networks. Previous work on attack graphs has not provided an account of the scalability of the graph generating process, and there is often a lack of logical formalism
Xinming Qu, et al.
core

Camouflaged Poisoning Attack on Graph Neural Networks

, 2022
Graph neural networks (GNNs) have enabled the automation of many web applications that entail node classification on graphs, such as scam detection in social media and event prediction in service networks.
He, Yi +3 more
core +1 more source

Label flipping adversarial attack on graph neural network

Tongxin xuebao, 2021
To expand the adversarial attack types of graph neural networks and fill the relevant research gaps, label flipping attack methods were proposed to evaluate the robustness of graph neural network aimed at label noise.The effectiveness mechanisms of ...
Yiteng WU, Wei LIU, Hongtao YU
doaj +2 more sources

Cumulative Social Disadvantage and Disease Activity in Juvenile Idiopathic Arthritis: A Childhood Arthritis and Rheumatology Research Alliance Registry Study

Arthritis Care &Research, EarlyView.
Objective Social determinants of health (SDOH) contribute to juvenile idiopathic arthritis (JIA) disparities, but most studies have assessed SDOH independently rather than cumulatively across individual, family, and neighborhood levels. Using a socioecological framework, we investigated the relationship among cumulative social disadvantage ...
William Daniel Soulsby +448 more
wiley +1 more source

An attack graph-based probabilistic security metric [PDF]

, 2008
. To protect critical resources in today’s networked environments, it is desirable to quantify the likelihood of potential multi-step attacks that combine multiple vulnerabilities. This now becomes feasible due to a model of causal re-lationships between
Tania Islam +4 more
core +1 more source

A Return to Normality: A Descriptive Qualitative Interview Study Exploring the Patient Experience of Gout Flare Resolution

Arthritis Care &Research, EarlyView.
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source

AI-based Attack Graph Generation

, 2023
With the advancement of IoT technology, many electronic devices are interconnected through networks, communicating with each other and performing specific roles.
Choi, Jaewoong +7 more
core

fos: computer and information sciences
cryptography and security cs.cr
computer science - cryptography and security

machine learning cs.lg
knowledge graph
computer science - machine learning

computer science - artificial intelligence
artificial intelligence cs.ai
graph neural networks