首页|Study Results from Royal Military College of Canada Provide New Insights into Ma chine Learning (Enterprise Malware Detection using@@Digital Forensic Artifacts an d Machine Learning)
Study Results from Royal Military College of Canada Provide New Insights into Ma chine Learning (Enterprise Malware Detection using@@Digital Forensic Artifacts an d Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reporting outof Kingston, Canada, by NewsR x editors, research stated, “Malware detection is a complex task.”The news reporters obtained a quote from the research from Royal Military Colleg e of Canada: “Numerouslog aggregation solutions and intrusion detection systems can help find anomalies within a hostor a network and detect intrusions, but t hey require precise calibration, skilled analysts, and cutting-edgetechnology. In addition, processing host-based data is challenging, as every log, event, and configurationcan be analyzed. In order to obtain trusted information about a h ost state, the analysis of a computer’smemory can be performed, but obtaining t he data from acquisition and performing the analysis can bechallenging. To addr ess this limitation, this paper proposes to collect artifacts within a network e nviron-ment. This approach involves remotely gathering memory-based and disk-base d artifacts from a simulatedenterprise network using Velociraptor.”
Royal Military College of CanadaKingst onCanadaNorth and Central AmericaCybersecurityCyborgsEmerging Technolo giesMachine Learning
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