Validating and restoring defense in depth using attack graphs

Composition of vulnerabilities can be modeled using probabilistic attack graphs, which show all paths of attacks that allow incremental network penetration.

Attack likelihoods are propagated through the attack graph, yielding a novel way to measure the security risk of enterprise systems.

Citation Context ..kinds of analyticsssupported.s For example, graphs can represent network state transitionssleading to attack goals [2][3], attacker exploitation steps relatedsby preconditions and postconditions [4]=-=[5]-=-, intrusion alertssequences [6][7], logical dependencies for attack goals [8][9],sor host attack reachability [10][11][12].s Attack graphs havesalso been implemented with the relational model [13].s Wes...

Citation Context ...ership that issimplicit in Cauldron.s An advantage of the protection domainsabstraction is that the number of edges among machines in asdomain is linear in the number of machines rather thansquadratic =-=[27]-=-.s Our property-graph representation retains thissadvantage.s However, in Cauldron, the implicit domainsmembership is built into the system, and cannot be changed forscases in which the assumption of fu...

We display these metrics (at the individual, family, and overall levels) in interactive visualizations, showing multiple metrics trends over time.

Swarup, "A weakest-adversary security metric for network configuration," in Proc.Citation Context ..[4][5], intrusion alertssequences [6][7], logical dependencies for attack goals [8][9],sor host attack reachability [10][11][12].s Attack graphs havesalso been implemented with the relational model =-=[13]-=-.s Wesshow results for the attack graph tool Cauldron [14] as asbaseline of comparison for our much richer model.s A common theme in these kinds of approaches has been tosfocus on a limited set of entit...Citation Context ...ndencies for attack goals [8][9],sor host attack reachability [10][11][12].s Attack graphs havesalso been implemented with the relational model [13].s Wesshow results for the attack graph tool Cauldron =-=[14]-=- as asbaseline of comparison for our much richer model.s A common theme in these kinds of approaches has been tosfocus on a limited set of entity types in the graph model.s However, security concerns in...Citation Context ..Neo4j Login Info Figure 1.s Components for cyber attack mapping.s We ingest data from various sources relevant to attackss(both potential and actual).s For this, rely primarily on thes Splunk platform =-=[22]-=-.s The ingest process maps the data to ansagnostic (vendor-neutral) model using standardized language.s The Cauldron tool ingests data from vulnerability scans andsfirewall configurations.s We include ad...Today’s information systems face sophisticated attackers who combine multiple vulnerabilities to penetrate networks with devastating impact.

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