首页|New Artificial Intelligence Study Results from Edith Cowan UniversityDescribed (Malware Detection With Artificial Intelligence: aSystematic Literature Review)
New Artificial Intelligence Study Results from Edith Cowan UniversityDescribed (Malware Detection With Artificial Intelligence: aSystematic Literature Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ar tificial Intelligence. According to news reporting originating in Joondalup, Aus tralia, by NewsRx journalists, research stated, “In this survey, we review the k ey developments in the field of malware detection using AI and analyze core chal lenges. We systematically survey state-of-the-art methods across five critical a spects of building an accurate and robust AI-powered malware-detection model: ma lware sophistication, analysis techniques, malware repositories, feature selecti on, and machine learning vs. deep learning.” The news reporters obtained a quote from the research from Edith Cowan Universit y, “The effectiveness of an AI model is dependent on the quality of the features it is trained with. In turn, the quality and authenticity of these features is dependent on the quality of the dataset and the suitability of the analysis tool . Static analysis is fast but is limited by the widespread use of obfuscation. D ynamic analysis is not impacted by obfuscation but is defeated by ubiquitous ant i-analysis techniques and requires more computational power.”
JoondalupAustraliaAustralia and New ZealandArtificial IntelligenceCybersecurityEmerging TechnologiesMachine LearningEdith Cowan University
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