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ORCIDChristopher D. McDermott
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2020 – today
- 2023
[j4]Mathew Nicho
, Maha Alblooki, Saeed AlMutiwei, Christopher D. McDermott, Olufemi Ilesanmi:
A Crime Scene Reconstruction for Digital Forensic Analysis: An SUV Case Study. Int. J. Digit. Crime Forensics 15(1): 1-20 (2023)- [j3]Mathew Nicho, Christopher D. McDermott, Hussein Fakhry, Shini Girija:
A System Dynamics Approach to Evaluate Advanced Persistent Threat Vectors. Int. J. Inf. Secur. Priv. 17(1): 1-23 (2023) - 2022
- [c5]Mathew Nicho, Farzan Majdani, Christopher D. McDermott:
Replacing Human Input in Spam Email Detection Using Deep Learning. HCI (35) 2022: 387-404 - 2020
- [b1]Christopher D. McDermott:
Exploring the use of conversational agents to improve cyber situational awareness in the Internet of Things (IoT). Robert Gordon University, UK, 2020
2010 – 2019
- 2019
- [j2]Christopher D. McDermott, John P. Isaacs, Andrei V. Petrovski:
Evaluating Awareness and Perception of Botnet Activity within Consumer Internet-of-Things (IoT) Networks. Informatics 6(1): 8 (2019) - [c4]Christopher D. McDermott, Bastien Jeannelle, John P. Isaacs:
Towards a Conversational Agent for Threat Detection in the Internet of Things. CyberSA 2019: 1-8 - [c3]Mathew Nicho, Christopher D. McDermott:
Dimensions of 'Socio' Vulnerabilities of Advanced Persistent Threats. SoftCOM 2019: 1-5 - 2018
- [j1]Christopher D. McDermott, William Haynes, Andrei V. Petrovksi:
Threat Detection and Analysis in the Internet of Things using Deep Packet Inspection. Int. J. Cyber Situational Aware. 3(1): 61-83 (2018) - [c2]Christopher D. McDermott, Andrei V. Petrovski, Farzan Majdani:
Towards Situational Awareness of Botnet Activity in the Internet of Things. CyberSA 2018: 1-8 - [c1]Christopher D. McDermott, Farzan Majdani, Andrei Petrovski:
Botnet Detection in the Internet of Things using Deep Learning Approaches. IJCNN 2018: 1-8
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