Validating and restoring defense in depth using attack graphs

By continuing to use this site, you consent to the use of cookies.We use cookies to offer you a better experience, personalize content, tailor advertising, provide social media features, and better understand the use of our services.of the 6th International Conference on Security and Cryptography (SECRYPT 2011), 2011, pp.of the 47th ACM Southeast Conference (ACMSE 2009), 2009.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.

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This methodology based on probabilistic attack graphs can be used to evaluate and strengthen the overall security of enterprise networks.

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 ...model, including network flows, IDS/IPSsalerts, anti-virus logs, operating system logs, host inventorysagents, and proxy server logs.s For mapping network attacksrelationships we leverage Apache Spark =-=[23]-=-, which has an inmemory compute model optimized for iterative computation ons Apache Hadoop [24] clusters.s As input, we build a model ofsthe network environment and events, stored in Mongo DB [25].s The ... and actual adversary activities.s Our data model incorporates standardized languages andsprocesses for cyber security, developed by MITRE and others,sknown collectively as Making Security Measurable™ =-=[15]-=-.s This includes Common Vulnerabilities and Exposuress(CVE)® [16], Common Vulnerability Scoring Systems(CVSS) [17], Common Weakness Enumeration (CWE)™ [18],s Common Platform Enumeration (CPE)™ [19], Com...

Citation Context ...[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 Wesshow results for the attack graph tool Cauldron [14] as asbaseline of comparison for our much richer model.s A common t...

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