Open-World Network Intrusion Detection

This chapter contributes to the ongoing discussion of strengthening security by applying AI techniques in scope intrusion detection. The focus is set on open-world detection attacks through data-driven network traffic analysis. research topic complementary earlier intelligent malware In this chapter, we revisit foundations machine learning-based solutions for security, which aim make defense tools more autonomous, adaptive, proactive and responsive. Specifically, give a comprehensive introduction anomaly – that is, defensive schemes do not assume complete prior knowledge malicious patterns instead learn notion normality from benign traffic. Along with outlining recent advances field, provide insights reflect current limitations challenges. Therefore, presents compelling opportunities advance learning push boundaries