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The increase in volume of data to analyse has created a demand for specific tools that automatically correlate events and gather them in pre-defined scenarios of attacks. A proliferation of attacks has determined the need for installing more network probes and collecting more security-related events in order to assure the best coverage, necessary for generating incident responses. Mining known attack patterns from security-related eventsĭirectory of Open Access Journals (Sweden)įull Text Available Managed Security Services (MSS have become an essential asset for companies to have in order to protect their infrastructure from hacking attempts such as unauthorized behaviour, denial of service (DoS, malware propagation, and anomalies. of the 8th Workshop on Mining and Learning with Graphs, pages 119â€“126, 2010. correlation pattern mining for large graphs.

Then we examine the efficiency and scala - bility of the framework with a Twitter network. TITLE AND SUBTITLE Measuring Two- Event Structural Correlations on Graphs 5a.

Measuring Two- Event Structural Correlations on GraphsĢ012 to 00-00-2012 4.

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