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Showing 1 to 9 of 9 for “"attack graphs"”.
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GARNET : a Graphical Attack graph and Reachability Network Evaluation Tool
Attack graphs are valuable tools in the assessment of network security, revealing potential attack paths an adversary could use to gain control of network assets. Creating an effective visualization for attack graphs is essential to their utility, but many previous efforts produce complex displays …
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NetSPA : a Network Security Planning Architecture
Attack scenario graphs provide a concise way of displaying all possible sequences of attacks a malicious user can execute to obtain a desired goal, such as remotely achieving root undetected on a critical host machine. NETSPA, the Network Security Planning Architecture, is a C++ system that quickly …
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Determining vulnerability using attach graphs: an expansion of the current FAIR model
… between threat actors and assets through attack graphs. By breaking down the scenario into more representative and quantifiable parts, more detailed and precise analyses are possible.</p>
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Containing Cascading Failures in Networks: Applications to Epidemics and Cybersecurity
… disease outbreaks) or malicious (e.g., cyber attacks). We consider the nodes of a network as being individually or collectively controlled by self-interested autonomous agents and study their strategic decisions in the presence of these failure cascades. There are many models of cascading …
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An approach to incorporating uncertainty in network security analysis
Attack graphs used in network security analysis are analyzed to determine sequences of exploits that lead to successful acquisition of privileges or data at critical assets. An attack graph edge corresponds to a vulnerability, tacitly assuming a connection exists and tacitly assuming the …
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Scalable attack modelling in support of security information and event management
… assessment tools, modelling of more intricate attacks, which incorporate multiple steps on different machines, requires more advanced techniques. Attack graphs are a promising technique, however they face a number of challenges. An attack graph is an abstract description of what attacks are …
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The role of attention-deficit/hyperactivity disorder and parental misperceptions in risk for child physical abuse
… re-computation model of risk levels using attack graphs and Bayesian inference techniques. All the above techniques collectively account for a domain-level VoIP security solution.
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System and Methods for Detecting Unwanted Voice Calls
… re-computation model of risk levels using attack graphs and Bayesian inference techniques. All the above techniques collectively account for a domain-level VoIP security solution.
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Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion
… hardware faults and highly susceptible to cyber-attacks. Therefore, for rapidly growing network-centric applications, network resilience is essential to minimize the impact of attacks and to ensure that the network provides an acceptable level of services during attacks, faults or disruptions. In …