Items where Subject is "QA76.758 Software engineering"

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Bentley, Peter ORCID: https://orcid.org/0000-0002-6438-0028 (2026) Anti-Fingerprinting Suggestions Using Mainly “Living Off The Land Techniques” to Increase the Business Costs of Advanced Persistent Threats and Data Harvesters. Technical Report. University of Gloucestershire, University of Gloucestershire. (Unpublished)

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Cameron, Alexander, Alam, Abu S and Ali Mirza, Qublai Khan ORCID: https://orcid.org/0000-0003-3403-2935 (2024) The Practical Requirements of a Malware Training Platform Tailored to Industry and Education. In: 2024 11th International Conference on Future Internet of Things and Cloud (FiCloud), 19-21 August 2024, Vienna, Austria. ISSN 2996-1017 ISBN 979-8-3315-2719-8

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H. Ahmed, Azza, Rukh, Mah ORCID: https://orcid.org/0000-0001-7660-1150 and Arsalaan, Ameer Shakayb (2026) In-Network Security Framework for Detecting and Classifying DDoS Attacks. IEEE Access. p. 1. doi:10.1109/ACCESS.2026.3745922 (In Press)

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Shafiq, Muhammad, Awan, Mujtaba ORCID: https://orcid.org/0000-0001-9055-2869, Alwageed, Hathal Salamah, Umar, Hassan, Mohammad Mehedi, Khan, Rafiq Ahmad and Hossain, M Anwar (2026) Exploring an AI-driven agentic framework for insider threat detection in secure software development organizations: A survey-based approach. Scientific Reports, 16. art:32855. doi:10.1038/s41598-026-64146-y

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Watson, Eleanor, Nguyen, Minh, Pan, Sarah and Zhang, Shujun ORCID: https://orcid.org/0000-0001-5699-2676 (2025) Choice Vectors: Streamlining Personal AI Alignment Through Binary Selection. Multimodal Technologies and Interaction, 9 (3). p. 22. doi:10.3390/mti9030022

Weichlein, Thomas (2024) A Method for Optimum Control of Dynamic Load Distribution in Time-sensitive Communication Networks for Manufacturing Automation. PhD thesis, University of Gloucestershire. doi:10.46289/77UV2F4D

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Yi, Liyan, Omotosho, Adebayo ORCID: https://orcid.org/0000-0002-1642-7610 and Balogun, Hamed (2026) Phishing URL detection and interpretability with machine learning: a cross‐dataset approach. Security and Privacy, 9 (1). e70175. doi:10.1002/spy2.70175