Results 251 to 260 of about 28,264 (289)
A New Method to Generate Attack Graphs
, 2009 To address the scalability problem in attack graphs generation, we propose a novel method to generate attack graphs automatically. Our approach constructs a twotier attack graph framework, which includes a host access graph and some sub-attack graphs.
Jianbin Hu
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Identification of Critical-Attacks Set in an Attack-Graph
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2019SCADA/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
+5 more sources
Adversarial Attacks and Defenses on Graphs
ACM SIGKDD Explorations Newsletter, 2021Deep 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 +6 more
openaire +1 more source
Generation and Analysis of Attack Graphs
Procedia Engineering, 2012 An integral part of modeling the global view of network security is constructing attack graphs. Construction by hand, however, is tedious, error prone, and impractical for attack graphs larger than a hundred nodes.
Wang, Chunying, Yang, Huijing, Du, Ning
exaly +2 more sources
Cost-aware securing of IoT systems using attack graphs
Ad Hoc Networks, 2019 The Internet of Things (IoT) contains a diverse set of sensors, actuators and other Internet-connected devices communicating, processing data and performing a multitude of functions.
Gurkan Gur, Fatih Alagöz
exaly +2 more sources
Evaluating Network Security With Two-Layer Attack Graphs [PDF]
, 2009 Attack graphs play important roles in analyzing network security vulnerabilities, and previous works have provided meaningful conclusions on the generation and security measurement of attack graphs.
Zhuhua Cai +2 more
exaly +2 more sources
Distributed Attack Graph Generation
IEEE Transactions on Dependable and Secure Computing, 2016Attack graphs show possible paths that an attacker can use to intrude into a target network and gain privileges through series of vulnerability exploits. The computation of attack graphs suffers from the state explosion problem occurring most notably when the number of vulnerabilities in the target network grows large.
Kerem Kaynar, Fikret Sivrikaya
openaire +1 more source
Scalable Attack Graph Generation
Proceedings of the 11th Annual Cyber and Information Security Research Conference, 2016Attack graphs are a powerful modeling technique with which to explore the attack surface of a system. However, they can be difficult to generate due to the exponential growth of the state space, often times making exhaustive search impractical. This paper discusses an approach for generating large attack graphs with an emphasis on scalable generation ...
Kyle Cook +3 more
openaire +1 more source
Ranking Attack Graphs with Graph Neural Networks
2009Network security analysis based on attack graphs has been applied extensively in recent years. The ranking of nodes in an attack graph is an important step towards analyzing network security. This paper proposes an alternative attack graph ranking scheme based on a recent approach to machine learning in a structured graph domain, namely, Graph Neural ...
Liang Lu +6 more
openaire +1 more source
From attack graph analysis to attack function analysis
Information Sciences, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source