4 papers
Synthetic Network Packet Generation through Statistical Learning and Genetic Algorithms
Mayank Raj, Nathaniel D. Bastian, Lance Fiondella +1
Developing robust intrusion detection systems (IDS) for IoT environments requires large, labeled datasets capturing realistic traffic distributions across both benign and malicious…
Categorical Robustness Assessment for Machine Learning based Network Intrusion Detection Systems
Mayank Raj, Nathaniel D. Bastian, Lance Fiondella +1
Network Intrusion Detection Systems (NIDS) heavily utlize Machine Learning (ML) but ML models can be manipulated via adversarial attacks. These attacks add carefully crafted pertur…
Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge
Alexandre Broggi, Nathaniel Bastian, Lance Fiondella +1
Artificial neural network pruning is a method in which artificial neural network sizes can be reduced while attempting to preserve the predicting capabilities of the network. This…
PACE: A Program Analysis Framework for Continuous Performance Prediction
Chidera Biringa, Gokhan Kul
Software development teams establish elaborate continuous integration pipelines containing automated test cases to accelerate the development process of software. Automated tests h…