Robotics & Machine Learning Daily News2024,Issue(Jul.26) :54-55.

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)

Robotics & Machine Learning Daily News2024,Issue(Jul.26) :54-55.

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)

扫码查看

Abstract

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.”

Key words

Royal Military College of Canada/Kingst on/Canada/North and Central America/Cybersecurity/Cyborgs/Emerging Technolo gies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文