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About this document

Dynamic Dataset Generation for Intrusion Detection by Rahmatul Husna is a document available to read on EtoBox.

1. The document discusses the need for systematically generated benchmark datasets for intrusion detection to address issues with existing datasets. 2. It introduces an approach using profiles containing descriptions of intrusions and traffic distributions to generate realistic network traces. 3. The profiles are used to program agents in a testbed environment to simulate user behavior and multi-stage attacks, producing a labeled dataset for evaluating intrusion detection systems.

Author
Rahmatul Husna
Language
EN