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基于机器学习的无文件化恶意软件检测与防御策略研究
为解决传统安全措施难以检测内存驻留型无文件化恶意软件(fileless malware)的难题,研究人员通过行为分析(behaviour analysis)和内存取证(memory forensics)技术,结合机器学习算法(machine learning algorithms)对Kovter等典型样本进行深度研究。该研究揭示了传统杀毒软件的局限性 ...
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