Results 171 to 180 of about 923 (205)

Automatic Generation of Attack Scripts from Attack Graphs

2018 1st International Conference on Data Intelligence and Security (ICDIS), 2018
While attack graphs are valuable tools for security analysis, their testing and validation is a time-consuming process. Once validated, the attack graph can be used to generate testing scripts or use-cases for system security testing and validation. Furthermore, simply identifying states where a system is critically compromised can also be lengthy and ...
Will Nichols, Zachary Hill, Peter J. Hawrylak, John Hale, Mauricio Papa   +4 more
openaire   +1 more source

Attack graph generation and analysis

Proceedings of the 2006 ACM Symposium on Information, computer and communications security, 2006
Attack graphs represent the ways in which an adversary can exploit vulnerabilities to break into a system. System administrators analyze these attack graphs to understand where their system's weaknesses lie and to help decide which security measures will be effective to deploy. In practice, attack graphs are produced manually by Red Teams. Construction
openaire   +1 more source

Attack Graph Implementation in Graph Database

2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY), 2022
Gabriella Simon-Nagy, Rita Fleiner, Anna Bánáti   +2 more
openaire   +1 more source

Attack graphs representations

2012 4th Computer Science and Electronic Engineering Conference (CEEC), 2012
Attack graphs have been widely used to represent and analyze security attacks. More specifically, they show all ways of how an attacker violets a security policy. Most attack graphs are constructed from nodes (vertices) and edges (arcs). Since there are so many research papers, each has a different representation of attack graphs.
Mohammed A. Alhomidi, Martin J. Reed
openaire   +1 more source

A Graph Data Model for Attack Graph Generation and Analysis

2014
Attack graph is a useful tool for enumerating multi-stage, multi-host attacks in organizational networks. It helps in understanding the diverse nature of threats and to decide on countermeasures which require on-the-fly implementation of custom algorithms for attack graph analysis.
Mridul Sankar Barik, Chandan Mazumdar
openaire   +1 more source

Performance Modelling of Attack Graphs

2023
Ohud Almutairi, Nigel Thomas
openaire   +1 more source

Attack graph analysis: An explanatory guide

Computers and Security, 2023
Kengo Zenitani
exaly  

Leading attackers through attack graphs with deceptions

Computers & Security, 2003
Fred Cohen, Deanna Koike
openaire   +1 more source

PAGCL: An unsupervised graph poisoned attack for graph contrastive learning model

Future Generation Computer Systems, 2023
Qing Li
exaly  

Adversarial Attack on Large Scale Graph

IEEE Transactions on Knowledge and Data Engineering, 2021
Fenfang Xie, Zibin Zheng, Xiangnan He
exaly