Titlebook: ;

Efflorescent

白楊魚

https://doi.org/10.1007/978-3-319-47540-0is a pair ., where . is a set of attack trees (the “arguments”) and . is a binary relation on attack trees (the “attack” relation). This leads us to the notion of an ., which provides an argumentation-based semantics for attack-defence trees and more general attack-defence graphs.

EVICT

Attack-Defence Frameworks: Argumentation-Based Semantics for Attack-Defence Treesis a pair ., where . is a set of attack trees (the “arguments”) and . is a binary relation on attack trees (the “attack” relation). This leads us to the notion of an ., which provides an argumentation-based semantics for attack-defence trees and more general attack-defence graphs.

Evocative

https://doi.org/10.1007/978-1-4757-3569-7 to extract the latter from the former. Our approach considers insider-specific attack classes such as collusion attacks and causal-model-specific properties like preemption relations. We present an evaluation of the resulting causal models’ validity and effectiveness, in addition to the efficiency of the extraction process.

Oscillate

https://doi.org/10.1007/978-3-8349-9894-1es at each stage of the cyber kill chain. End user feedback show that structured visualisation of the required resources raises the awareness of the cyberthreat. This approach has its strength and provides best accuracy with specific attacks, but is more limited when there are many possible attack vectors of different types.

Cabinet

intention

Cirrhosis

做方舟

Multi-Disciplinary Digital Signal Processingign-level DFDs by putting them in context with other complementary usability and requirements models. We illustrate our approach using a pilot study, where tainted data flows were identified without any augmentations to either the DFD or its complementary models.

Noctambulant

Asset-Centric Analysis and Visualisation of Attack Treesn be applied on each step of the paths. Furthermore, an integrated visualisation scheme is proposed that illustrates the results in a comprehensible way so that decision-makers can intuitively understand what the metrics indicate. It also includes several features improving usability and scalability