Impact Analysis of Erroneous Data on IoT Reliability. - Samuel J. Moore; Chris D. Nugent; Ian Cleland; Shuai Zhang 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

A Markov Model to Detect Sensor Failure in IoT Environments. - Samuel J. Moore; Chris D. Nugent; Shuai Zhang 001; Ian Cleland; Sadiq Sani; Alex Healing (SERVICES, 2020)

IoT reliability: a review leading to 5 key research directions. - Samuel J. Moore; Chris D. Nugent; Shuai Zhang 001; Ian Cleland (CCF Trans. Pervasive Comput. Interact., 2020)

Semi-Supervised Detection of Algorithmically Generated Domains using Neural Network-Based Autoencoders. - Federico Cruciani; Samuel J. Moore; Bronagh Quigley; Sadiq Sani (AI-Cybersec@SGAI, 2021)

Reliability Analysis of Smart Home Sensor Systems Based on Probabilistic Model Checking. - Xia Wang; Jun Liu 001; Chris D. Nugent; Samuel J. Moore; Yang Xu 001 (UCAmI, 2022)

Comparing general purpose pre-trained Word and Sentence embeddings for Requirements Classification. - Federico Cruciani; Samuel J. Moore; Chris D. Nugent (REFSQ Workshops, 2023)

Deep learning for network intrusion: A hierarchical approach to reduce false alarms. - Samuel J. Moore; Federico Cruciani; Chris D. Nugent; Shuai Zhang 001; Ian Cleland; Sadiq Sani (Intell. Syst. Appl., 2023)

A behavioural hierarchical analysis framework in a smart home: Integrating HMM and probabilistic model checking. - Xia Wang; Jun Liu 001; Samuel J. Moore; Chris D. Nugent; Yang Xu 001 (Inf. Fusion, 2023)