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- W2026109714 abstract "Intrusion Detection Systems (IDSes) proposed to identify or prevent the wide spread of worms can be largely classified as signature-based or anomaly-based. Modern worms are often sufficiently intelligent to hide their activities and evade anomaly detection, rendering existing IDSes (particularly signature-based) less effective. We propose PAIDS, a proximity-assisted IDS approach for identifying the outbreak of unknown worms. Operating on an orthogonal dimension with existing IDSes, PAIDS can work collaboratively with existing IDSes for better performance. Trace-driven evaluation indicates that PAIDS has high detection rates and low false-positive rates. We also build a prototype with Google Maps APIs and libpcap library." @default.
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- W2026109714 date "2010-01-01" @default.
- W2026109714 modified "2023-09-27" @default.
- W2026109714 title "Enhancing Intrusion Detection System with proximity information" @default.
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- W2026109714 doi "https://doi.org/10.1504/ijsn.2010.037660" @default.
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