An Architecture Utilizing the Crowd for Building an Anti-virus Knowledge Base
作者： Nguyen Hoang Thuan , Pedro Antunes , David Johnstone , Minh Nhat Quang Truong
DOI: 10.1007/978-3-319-12778-1_13
关键词:
摘要: Recently, the behaviour-based technique was received attentions for its ability to detect unknown viruses. However, literature suggests that this still needs be improved due high false-positive rates. Addressing issue, current work-in-progress proposed an architecture utilizing crowd building anti-virus knowledge base, which considers not only virus behaviour but also from new applications. This utilized experts in classified objects are unclassified by machines. Using objects, it used a machine learning algorithm analyse application updating and thus corresponding system can correctly diagnose classify reducing
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