Results 241 to 250 of about 42,568 (290)

Enhancing network traffic detection via interpolation augmentation and contrastive learning. [PDF]

PLoS One
Li L, Zhou Q, Yang X, Chen L.
europepmc   +1 more source

Brain resilience to targeted attack of resting BOLD networks as a measure of cognitive reserve. [PDF]

Imaging Neurosci (Camb)
Argiris G, Stern Y, Habeck C.
europepmc   +1 more source

Attack graph compression

openaire   +1 more source

Some of the next articles are maybe not open access.

Related searches:

From attack graph analysis to attack function analysis

Information Sciences, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kengo Zenitani
exaly   +2 more sources

Identification of Critical-Attacks Set in an Attack-Graph

2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2019
SCADA/ICS (Supervisory Control and Data Acqui-sition/Industrial Control Systems) networks are becoming targets of advanced multi-faceted attacks, and use of attack-graphs has been proposed to model complex attacks scenarios that exploit interdependence among existing atomic vulnerabilities to stitch together the attack-paths that might compromise a ...
Alaa T. Al Ghazo, Ratnesh Kumar 0001
core   +5 more sources

Attack Graph Generation with Machine Learning for Network Security

Electronics (Switzerland), 2022
Recently, with the discovery of various security threats, diversification of hacking attacks, and changes in the network environment such as the Internet of Things, security threats on the network are increasing. Attack graph is being actively studied to
Kijong Koo, Daesung Moon, Jun-Ho Huh
exaly   +2 more sources

Adversarial Attacks and Defenses on Graphs

ACM SIGKDD Explorations Newsletter, 2021
Deep neural networks (DNNs) have achieved significant performance in various tasks. However, recent studies have shown that DNNs can be easily fooled by small perturbation on the input, called adversarial attacks.
Wei Jin 0009, Yaxin Li 0001, Han Xu 0002, Yiqi Wang 0001, Shuiwang Ji, Charu Aggarwal 0001, Jiliang Tang   +6 more
openaire   +1 more source

CVSS Attack Graphs

2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems, 2011
Attack models and attack graphs are efficient tools to describe and analyse attack scenarios aimed at computer networks. More precisely, attack graphs give all possible scenarios for an attacker to reach a certain goal, exploiting vulnerabilities of the targeted network.
Laurent Gallon, Jean-Jacques Bascou
openaire   +1 more source

Mapping evidence graphs to attack graphs

2012 IEEE International Workshop on Information Forensics and Security (WIFS), 2012
Attack graphs compute potential attack paths from a system configuration and known vulnerabilities of a system. Evidence graphs model intrusion evidence and dependencies among them. In this paper, we show how to map evidence graphs to attack graphs. This mapping is useful for application of attack graphs and evidence graphs for forensic analysis.
Changwei Liu, Anoop Singhal, Duminda Wijesekera   +2 more
openaire   +1 more source