Metaverse application forensics: Unravelling the virtual truth

Book chapter

Azhar, H. and Rush-Gadsby, O. Metaverse application forensics: Unravelling the virtual truth. in: Cybersecurity Challenges in the Age of AI, Space Communications and Cyborgs Proceedings of the 15th International Conference on Global Security, Safety and Sustainability, London, October 2023 Cham Springer. pp. 399-414

Publication dates
Authors	Azhar, H. and Rush-Gadsby, O.
Abstract	Virtual reality (VR) has gained significant popularity and recognition in recent years due to its immersive experiences and widespread adoption. However, along with the positive impact it brings, VR technology also attracts individuals with malicious intent who may engage in illegal activities. Consequently, there is a growing need for enhanced forensic methodologies and practices to address digital evidence within VR environments. This paper aims to investigate the production of digital evidence during typical usage of VR, employing a forensically sound methodology. The primary findings of this investigation encompass files and system memory data that provide insights into the hardware utilised, a chronological timeline of usage, and, in certain instances, indications of specific actions performed within the VR environment.
Keywords	Virtual reality; Metaverse; Memory forensics; Disk forensics
Page range	399-414
Book title	Cybersecurity Challenges in the Age of AI, Space Communications and Cyborgs Proceedings of the 15th International Conference on Global Security, Safety and Sustainability, London, October 2023
Publisher	Springer
Output status	Published
Place of publication	Cham
ISBN	9783031475931
Print	2024
Publication process dates
Deposited	21 Feb 2024
Digital Object Identifier (DOI)	https://doi.org/10.1007/978-3-031-47594-8_21
Official URL	https://link.springer.com/chapter/10.1007/978-3-031-47594-8_21

Permalink -

https://repository.canterbury.ac.uk/item/97263/metaverse-application-forensics-unravelling-the-virtual-truth

52
total views
0
total downloads
2
views this month
0
downloads this month

Export as

Related outputs

Machine learning in ASL fingerspelling recognition: A literature review

Pinnington, J., Souag, A. and Azhar, H. 2024. Machine learning in ASL fingerspelling recognition: A literature review. in: IEEE Xplore.

Enhancing cyberbullying detection with RoBERTa: A transformer-based approach

Azhar, H. and Runa, A. 2024. Enhancing cyberbullying detection with RoBERTa: A transformer-based approach. in: 16th International Conference on Global Security, Safety & Sustainability, ICGS3-24 - Cybersecurity and Human Capabilities through Symbiotic Artificial Intelligence Springer.

‘Parenting the Internet’ app: a Web guardian for protecting neurodiverse users online

Jones, R. and Azhar, H. 2024. ‘Parenting the Internet’ app: a Web guardian for protecting neurodiverse users online. in: IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI 2024) IEEE Xplore.

Utilising transformers for American Sign Language fingerspelling recognition

Pinnington, J., Souag, A. and Azhar, H. 2024. Utilising transformers for American Sign Language fingerspelling recognition. in: 24th International Symposium on Computational Intelligence and Informatics (CINTI 2024)

Unveiling pollution peaks: Comparing swarm intelligence with Drone Hill Climber

Prior, Oliver J., Hannan Bin Azhar, M. A., Sahota, Vijay and Turner, Scott 2024. Unveiling pollution peaks: Comparing swarm intelligence with Drone Hill Climber. in: 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY) IEEE. pp. 399-404

A qualitative review of educational robots for STEM: Technical features and impacts

Manna, Soumya Kanti, Azhar, M. A. Hannan Bin and Greace, Ann 2024. A qualitative review of educational robots for STEM: Technical features and impacts. in: Proceedings of the International Convention MIPRO IEEE.

Innovative assistive device to enhance wrist drop treatment in patients

Trainer, C., Manna, S. and Azhar, H. 2024. Innovative assistive device to enhance wrist drop treatment in patients. in: Costin, H-N., Magjarević, R. and Petroiu, G. G. (ed.) Advances in Digital Health and Medical Bioengineering: Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9–10, 2023, Bucharest, Romania – Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics Cham Springer. pp. 489-497

Tele-controlled upper arm exoskeleton for post-stroke recovery

Manna, S., Khan, A., Dilley, O. and Azhar, H. 2024. Tele-controlled upper arm exoskeleton for post-stroke recovery. in: Costin, H-N, Magjarević, R. and Petroiu, G. G. (ed.) Advances in Digital Health and Medical Bioengineering Cham Springer. pp. 478-488

Transformer-based Models for Enhanced Amur Tiger Re-Identification

Bai, Xufeng, Islam, Tasmina and Bin Azhar, M A Hannan 2024. Transformer-based Models for Enhanced Amur Tiger Re-Identification. in: 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI) IEEE.

Breaking barriers: A novel framework to evaluate usability of accessibility applications

Azhar, H., Islam, T. and Marczak, J. 2023. Breaking barriers: A novel framework to evaluate usability of accessibility applications. in: 36th International BCS Human-Computer Interaction Conference British Computer Society. pp. 23-33

An interactive web portal for customised telerehabilitation in neurological care

Hannan Bin Azhar, M A, Mészáros, Zoltán, Islam, Tasmina and Manna, Soumya K. 2023. An interactive web portal for customised telerehabilitation in neurological care. in: 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) IEEE. pp. 1814-1821

Trustworthy insights: A novel multi-tier explainable framework for ambient assisted living

Kasirajan, Merlin, Bin Azhar, M A Hannan and Turner, Scott 2023. Trustworthy insights: A novel multi-tier explainable framework for ambient assisted living. in: 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) IEEE. pp. 2554-2561

Assistive telehealth systems for neurorehabilitation

Azhar, H. 2023. Assistive telehealth systems for neurorehabilitation.

Optimal locations and computational frameworks of FSR and IMU sensors for measuring gait abnormalities

Manna, S., Azhar, H. and Greace, A. 2023. Optimal locations and computational frameworks of FSR and IMU sensors for measuring gait abnormalities. Heliyon. 9 (4), p. e15210. https://doi.org/10.1016/j.heliyon.2023.e15210

Spying on kids’ smart devices: Beware of security vulnerabilities!

Azhar, H., Smith, D. and Cain, A. 2023. Spying on kids’ smart devices: Beware of security vulnerabilities! in: Jahankhani, H. (ed.) Cybersecurity in the Age of Smart Societies Proceedings of the 14th International Conference on Global Security, Safety and Sustainability, London, September 2022 Springer. pp. 123-140

Cyber threats and exploits during the pandemic

Lo, J. and Azhar, H. Cyber threats and exploits during the pandemic. ASEAN Tech and Security, Singapore .

Z is for Zoombombing

Azhar, H. 2022. Z is for Zoombombing. Medium.

Progressive web app for real-time doctor-patient communication and searchable health conditions

Hannan Bin Azhar, M A and Mohan, Joseph Thomas 2022. Progressive web app for real-time doctor-patient communication and searchable health conditions. 2022 E-Health and Bioengineering Conference (EHB). https://doi.org/10.1109/EHB55594.2022.9991288

Forensic investigations of Google Meet and Microsoft Teams – two popular conferencing tools in the Pandemic

Azhar, H., Timms, J. and Tilley, B. 2022. Forensic investigations of Google Meet and Microsoft Teams – two popular conferencing tools in the Pandemic. in: Digital Forensics and Cyber Crime Springer Nature. pp. 20-34

Tele-tDCS: A Novel Tele-neuromodulation Framework using Internet of Medical Things

Herring, Samuel, Azhar, M. A. Hannan Bin and Sakel, Mohamed 2022. Tele-tDCS: A Novel Tele-neuromodulation Framework using Internet of Medical Things. in: Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - BIODEVICES Setúbal, Portugal SCITEPRESS - Science and Technology Publications. pp. 84-93

Automatic identification of non-biting midges (Chironomidae) using object detection and deep learning techniques

Hollister, Jack, Vega, Rodrigo and Azhar, M. A. Hannan Bin 2022. Automatic identification of non-biting midges (Chironomidae) using object detection and deep learning techniques. in: Marsico, Maria D., Sanniti de Baja, Gabriella and Fred, Ana (ed.) Proceedings of the 11 International Conference on Pattern Recognition Applications and Methods SCITEPRESS - Science and Technology Publications.

A smart and secure IoMT tele-neurorehabilitation framework for post-stroke patients

Manna, S., Azhar, H. and Sakel, M. 2022. A smart and secure IoMT tele-neurorehabilitation framework for post-stroke patients. in: Bhaumik, S., Chattopadhyay, S., Chattopadhyay, T. and Bhattacharya, S. (ed.) Proceedings of International Conference on Industrial Instrumentation and Control ICI2C 2021 Singapore Springer. pp. 11-20

An inclusive student-led online class test during the pandemic

Manna, S. and Azhar, H. 2021. An inclusive student-led online class test during the pandemic . Assessment and Feedback Symposium 2021.

A forensic tool to acquire radio signals using software defined radio

Azhar, H. and Abadia, G. 2021. A forensic tool to acquire radio signals using software defined radio. in: Security and Privacy in Communication Networks : 17th EAI International Conference, SecureComm 2021, Virtual Event, September 6-9, 2021, Proceedings, Part I Springer.

Post-pandemic digital education: Investigating smart workspaces within the higher education sector

Azhar, M A Hannan Bin, Lepore, Emily Louise and Islam, T. 2021. Post-pandemic digital education: Investigating smart workspaces within the higher education sector. Proceedings of the BCS 34th British HCI Conference 2021. 34, pp. 284-288. https://doi.org/10.14236/ewic/hci2021.30

A study of user experiences and network analysis on anonymity and traceability of bitcoin transactions

Azhar, M.A.H.B and Whitehead, R.V. 2021. A study of user experiences and network analysis on anonymity and traceability of bitcoin transactions. EAI Endorsed Transactions on Security and Safety. https://doi.org/10.4108/eai.30-4-2021.169577

BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients

Azhar, H. 2021. BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients.

Forensic investigations of popular ephemeral messaging applications on Android and iOS platforms

Azhar, H., Cox, R. and Chamberlain, A. 2020. Forensic investigations of popular ephemeral messaging applications on Android and iOS platforms. International Journal on Advances in Security. 13 (1 & 2), pp. 41 - 53.

Comparisons of forensic tools to recover ephemeral data from iOS apps used for cyberbullying

Chamberlain, A. and Azhar, H. 2019. Comparisons of forensic tools to recover ephemeral data from iOS apps used for cyberbullying. in: CYBER 2019, The Fourth International Conference on Cyber-Technologies and Cyber-Systems IARIA. pp. 88-93

Recovery of forensic artefacts from a smart home IoT ecosystem

Azhar, H. and Bate, S. 2019. Recovery of forensic artefacts from a smart home IoT ecosystem. in: CYBER 2019, The Fourth International Conference on Cyber-Technologies and Cyber-Systems IARIA. pp. 94-99

BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients

Casey, A., Azhar, H., Grzes, M. and Sakel, M. 2019. BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients. Disability and Rehabilitation: Assistive Technology. 16 (5), pp. 525-537. https://doi.org/10.1080/17483107.2019.1683239

Effects of students’ preferences in use of lighting and temperature on productivity in a university setting

Azhar, H., Islam, T. and Alfieri, M. 2019. Effects of students’ preferences in use of lighting and temperature on productivity in a university setting. in: Zheng, P., Callaghan, V., Crawford, D., Kymalainen, T. and Reyes-Munoz, A. (ed.) EAI International Conference on Technology, Innovation, Entrepreneurship and Education Springer.

Use of wearable technology to measure emotional responses amongst tennis players

Azhar, H., Nelson, T. and Casey, A. 2019. Use of wearable technology to measure emotional responses amongst tennis players. in: Zheng, P., Callaghan, V., Crawford, D., Kymalainen, T. and Reyes-Munoz, A. (ed.) EAI International Conference on Technology, Innovation, Entrepreneurship and Education Springer.

Drone forensic analysis using open source tools

Azhar, H., Barton, T. and Islam, T. 2018. Drone forensic analysis using open source tools. Journal of Digital Forensics, Security and Law. 13 (1), pp. 7-30.

A cost-effective BCI assisted technology framework for neurorehabilitation

Azhar, H., Casey, A. and Sakel, M. 2018. A cost-effective BCI assisted technology framework for neurorehabilitation.

An investigation on forensic opportunities to recover evidential data from mobile phones and personal computers

Naughton, P. and Azhar, H. 2017. An investigation on forensic opportunities to recover evidential data from mobile phones and personal computers.

BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients

Azhar, H., Barton, T., Casey, A. and Sakel, M. 2017. BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients. Research and Knowledge Exchange Conference 2017.

Open source forensics for a multi-platform drone system

Barton, T. and Azhar, H. 2018. Open source forensics for a multi-platform drone system. in: Matousek, P. and Schmiedecker, M. (ed.) 9th EAI International Conference on Digital Forensics & Cyber Crime Springer. pp. 83-96

Evaluation of the MPS Predictive Policing Trial (redacted)

Bryant, R., Azhar, H., Blackburn, B. and Falade, M. 2015. Evaluation of the MPS Predictive Policing Trial (redacted).

Forensic analysis of popular UAV systems

Barton, T. and Azhar, H. 2017. Forensic analysis of popular UAV systems. Emerging Security Technologies (EST), 2017 Seventh International Conference on. https://doi.org/10.1109/EST.2017.8090405

A wearable brain-computer interface controlled robot

Azhar, H., Badicioiu, A. and Barton, T. 2016. A wearable brain-computer interface controlled robot.

Forensic analysis of the recovery of Wickr’s ephemeral data on Android platforms

Barton, T. and Azhar, H. 2016. Forensic analysis of the recovery of Wickr’s ephemeral data on Android platforms. in: Klemas, T. and Falk, R. (ed.) CYBER 2016 : The First International Conference on Cyber-Technologies and Cyber-Systems IARIA. pp. 35-40

Forensic analysis of secure ephemeral messaging applications on Android platforms

Azhar, H. and Barton, T. 2017. Forensic analysis of secure ephemeral messaging applications on Android platforms. in: Global Security, Safety and Sustainability - The Security Challenges of the Connected World: 11th International Conference, ICGS3 2017, London, UK, January 18-20, 2017, Proceedings Springer.

Usability and performance measure of a consumer-grade brain computer interface system for environmental control by neurological patients

Deravi, F., Ang, C., Azhar, H., Al-Wabil, A., Philips, M. and Sakel, M. 2015. Usability and performance measure of a consumer-grade brain computer interface system for environmental control by neurological patients. International Journal of Engineering and Technology Innovation (IJETI). 5 (3), pp. 165-177.