首页>
外国专利>
AUTOMATED FEATURE EXTRACTION AND ARTIFICIAL INTELLIGENCE (AI) BASED DETECTION AND CLASSIFICATION OF MALWARE
AUTOMATED FEATURE EXTRACTION AND ARTIFICIAL INTELLIGENCE (AI) BASED DETECTION AND CLASSIFICATION OF MALWARE
展开▼
机译:基于特征自动提取和人工智能(AI)的恶意软件检测和分类
展开▼
页面导航
摘要
著录项
相似文献
摘要
Systems and methods for detection and classification of malware using an AI-based approach are provided. In one embodiment, a T-node maintains a sample library including benign and virus samples. A classification model is generated by training a classifier based on features extracted from the samples. The classification model is distributed to D-nodes for use as a local virus detection model. Responsive to detection of a virus by a D-node, the T-node receives a virus sample from the D-node. When the virus sample is not in the sample library, it is incorporated into the sample library. A feature depository is created/updated by the T-node by extracting features from the samples. Responsive to a retraining event: (i) an improved classification model is created by retraining the classifier based on the feature depository; and (ii) the D-nodes are upgraded by replacing their local virus detection models with the improved classification model.
展开▼