Oct 20, 2023 · Our work is the first to apply an adaptive experimental study in intrusion data collection and discuss the benefits of collecting ...
Oct 20, 2023 · In this paper, we present the theory and empirical data on methods that aim to discover such causal relationships efficiently. Our adaptive ...
Nov 18, 2023 · CAMLIS 2023, Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis and Nicholas R. Jennings.
1. The first adaptive method for a control study in security. • Optimizing resource allocation and duration. • Based on the events seen and error tolerance.
Feb 23, 2024 · Researchers used an artificial intelligence (AI) tool to identify biomarkers that outperform the standard test for predicting pancreatic cancer ...
In this paper, we present adaptive model generation, a method for automatically building detection models for data-mining based intrusion detection systems.
May 30, 2024 · The main goal of the research unit is the design and development of a novel class of IDSs based on the com- bination of several dynamically ...
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(PDF) Adaptive Intrusion Detection: A Data Mining Approach
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Oct 22, 2024 · In this paper we describe a data mining framework for constructing intrusion detection models. The first key idea is to mine system audit ...
Jun 19, 2019 · This paper takes NSL-KDD data set as the research object, analyses the latest progress and existing problems in the field of intrusion detection technology,
Jun 20, 2024 · This novel Adaptive CIDS framework leverages the Pruned Exact Linear Time (PELT) algorithm and a Support Vector Machine (SVM) for enhanced accuracy and ...