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09/14/2023
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection
The widespread integration of Internet of Things (IoT) devices across al...
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03/25/2023
Measuring Classification Decision Certainty and Doubt
Quantitative characterizations and estimations of uncertainty are of fun...
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01/24/2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments
Methods for sequential decision-making are often built upon a foundation...
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11/08/2022
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System
Network intrusion detection systems (NIDS) to detect malicious attacks c...
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05/14/2021
Anomaly Detection in Cybersecurity: Unsupervised, Graph-Based and Supervised Learning Methods in Adversarial Environments
Machine learning for anomaly detection has become a widely researched fi...
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09/24/2020
Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities
Artificial intelligence (AI) and machine learning (ML) have become incre...
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05/28/2020
Algorithm Selection Framework for Cyber Attack Detection
The number of cyber threats against both wired and wireless computer sys...
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04/23/2020
Adversarial Machine Learning in Network Intrusion Detection Systems
Adversarial examples are inputs to a machine learning system intentional...
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04/03/2020
Stacked Generalizations in Imbalanced Fraud Data Sets using Resampling Methods
This study uses stacked generalization, which is a two-step process of c...
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07/06/2019
Intelligent Systems Design for Malware Classification Under Adversarial Conditions
The use of machine learning and intelligent systems has become an establ...
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02/01/2019