Results 161 to 170 of about 923 (205)

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
  +5 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
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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
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Ranking Attack Graphs

2006
A majority of attacks on computer systems result from a combination of vulnerabilities exploited by an intruder to break into the system. An Attack Graph is a general formalism used to model security vulnerabilities of a system and all possible sequences of exploits which an intruder can use to achieve a specific goal.
Vaibhav Mehta, Constantinos Bartzis, Haifeng Zhu 0001, Edmund M. Clarke, Jeannette M. Wing   +4 more
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Using CVSS in Attack Graphs

2011 Sixth International Conference on Availability, Reliability and Security, 2011
Derived from attack models, attack graphs are providing an efficient way to model attack scenarios intended against computer networks. Such graphs are using CVE database in which all known vulnerabilities are gathered. The CVSS framework is aiming to give numeric scores to each vulnerability recorded in the CVE database, which represent its ...
Laurent Gallon, Jean-Jacques Bascou
openaire   +1 more source

Distributed Attack Graph Generation

IEEE Transactions on Dependable and Secure Computing, 2016
Attack 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
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Ranking Attack Graphs with Graph Neural Networks

2009
Network 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, Reihaneh Safavi-Naini, Markus Hagenbuchner, Willy Susilo, Jeffrey Horton, Sweah Liang Yong, Ah Chung Tsoi   +6 more
openaire   +1 more source

Scalable Attack Graph Generation

Proceedings of the 11th Annual Cyber and Information Security Research Conference, 2016
Attack 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, Thomas Shaw, Peter J. Hawrylak, John Hale   +3 more
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Attack Graph Generation

2021
This chapter presents a review of the state of the art on attack graph generation methods and their respective models, a review of possible sources of vulnerability, weakness, and remediation information, a comparative analysis of 15 tools for attack graph generation, and a case study on the implementation of a production-ready system and its ...
Konstantinos-Panagiotis Grammatikakis, Nicholas Kolokotronis   +1 more
openaire   +1 more source