Stuart Millar

According to our database, Stuart Millar authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Using LLM Embeddings with Similarity Search for Botnet TLS Certificate Detection.

Shashwat Kumar, Francis Hahn, Stuart Millar, Xinming Ou

Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

2023

Detecting Web Application DAST Attacks with Machine Learning.

Pojan Shahrivar, Stuart Millar, Ezzeldin Shereen

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Android Malware Detection Using Deep Learning.

Stuart Millar, Niall McLaughlin, Jesús Martínez del Rincón, Paul Miller

Proceedings of the Artificial Intelligence and Cybersecurity: Theory and Applications, 2023

2022

Vulnerability Detection in Open Source Software: An Introduction.

Stuart Millar

CoRR, 2022

Optimising Vulnerability Triage in DAST with Deep Learning.

Stuart Millar, Denis Podgurskii, Dan Kuykendall, Jesús Martínez del Rincón, Paul Miller

Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, 2022

2021

Multi-view deep learning for zero-day Android malware detection.

Stuart Millar, Niall McLaughlin, Jesús Martínez del Rincón, Paul Miller

J. Inf. Secur. Appl., 2021

IoT Security Challenges and Mitigations: An Introduction.

Stuart Millar

CoRR, 2021

Towards Explainable CNNs for Android Malware Detection.

Martin Kinkead, Stuart Millar, Niall McLaughlin, Philip O'Kane

Proceedings of the 12th International Conference on Ambient Systems, 2021

2020

Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection.

Roberto Doriguzzi Corin, Stuart Millar, Sandra Scott-Hayward, Jesús Martínez del Rincón, Domenico Siracusa

IEEE Trans. Netw. Serv. Manag., 2020

DANdroid: A Multi-View Discriminative Adversarial Network for Obfuscated Android Malware Detection.

Stuart Millar, Niall McLaughlin, Jesús Martínez del Rincón, Paul Miller, Ziming Zhao

Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020