Alert-driven attack graph generation using s-pdfa
Ideal cyber threat intelligence (CTI) includes insights into attacker strategies that are specific
to a network under observation. Such CTI currently requires extensive expert input for …
to a network under observation. Such CTI currently requires extensive expert input for …
Mapping evidence graphs to attack graphs
C Liu, A Singhal, D Wijesekera - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Attack graphs compute potential attack paths from a system configuration and known
vulnerabilities of a system. Evidence graphs model intrusion evidence and dependencies …
vulnerabilities of a system. Evidence graphs model intrusion evidence and dependencies …
Recommender systems meeting security: From product recommendation to cyber-attack prediction
Modern information society depends on reliable functionality of information systems
infrastructure, while at the same time the number of cyber-attacks has been increasing over …
infrastructure, while at the same time the number of cyber-attacks has been increasing over …
[PDF][PDF] An evolutionary approach of attack graph to attack tree conversion
MS Haque, T Atkison - International Journal of Computer Network …, 2017 - mecs-press.org
The advancement of modern day computing has led to an increase of threats and intrusions.
As a result, advanced security measurements and threat analysis models are necessary to …
As a result, advanced security measurements and threat analysis models are necessary to …
Machine learning on knowledge graphs for context-aware security monitoring
JS Garrido, D Dold, J Frank - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Machine learning techniques are gaining attention in the context of intrusion detection due
to the increasing amounts of data generated by monitoring tools, as well as the …
to the increasing amounts of data generated by monitoring tools, as well as the …
Looking beyond IoCs: Automatically extracting attack patterns from external CTI
Public and commercial organizations extensively share cyberthreat intelligence (CTI) to
prepare systems to defend against existing and emerging cyberattacks. However, traditional …
prepare systems to defend against existing and emerging cyberattacks. However, traditional …
Efficient attack correlation and identification of attack scenarios based on network-motifs
An Intrusion Detection System (IDS) to secure computer networks reports indicators for an
attack as alerts. However, every attack can result in a multitude of IDS alerts that need to be …
attack as alerts. However, every attack can result in a multitude of IDS alerts that need to be …
Identification of attack paths using kill chain and attack graphs
The ever-evolving capabilities of cyber attackers force security administrators to focus on the
early identification of emerging threats. Targeted cyber attacks usually consist of several …
early identification of emerging threats. Targeted cyber attacks usually consist of several …
[PDF][PDF] Visualizing interesting patterns in cyber threat intelligence using machine learning techniques
In an advanced and dynamic cyber threat environment, organizations need to yield more
proactive methods to handle their cyber defenses. Cyber threat data known as Cyber Threat …
proactive methods to handle their cyber defenses. Cyber threat data known as Cyber Threat …
A stochastic framework for quantitative analysis of attack-defense trees
Cyber attacks are becoming increasingly complex, practically sophisticated and organized.
Losses due to such attacks are important, varying from the loss of money to business …
Losses due to such attacks are important, varying from the loss of money to business …