2024

• Zunaidi, M.R., Sayakkara, A., and Scanlon, M., A Digital Forensic Methodology for Encryption Key Recovery from Black-Box IoT Devices, 12th IEEE International Symposium on Digital Forensics and Security, San Antonio, USA, April 2024.
   

• Wickramasekara, A., and Scanlon, M., A Framework for Integrated Digital Forensic Investigation Employing AutoGen AI Agents, 12th IEEE International Symposium on Digital Forensics and Security, San Antonio, USA, April 2024.
   

• Zunaidi, M.R., Sayakkara, A., and Scanlon, M., Revealing IoT Cryptographic Settings through Electromagnetic Side-Channel Analysis, Electronics, ISSN 2079-9292, April 2024.
   

• Breitinger, F., Hilgert, J-N., Hargreaves, C., Sheppard, J., Overdorf, R., and Scanlon, M., DFRWS EU 10-Year Review and Future Directions in Digital Forensic Research, Forensic Science International: Digital Investigation, ISSN 2666-2825, March 2024.
   

• Navanesan, L., Le-Khac, N-A., Scanlon, M., De Zoysa, K., and Sayakkara, A., Ensuring Cross-Device Portability of Electromagnetic Side-Channel Analysis for Digital Forensics, Forensic Science International: Digital Investigation, ISSN 2666-2825, March 2024.
   

2023

• Scanlon, M., Breitinger, B., Hargreaves, C., Hilgert, J-N., and Sheppard, J. ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown, Forensic Science International: Digital Investigation, ISSN 2666-2825, October 2023.
   

• Rizvi, S., Scanlon, M., McGibney, J., and Sheppard, J., An Evaluation of AI-Based Network Intrusion Detection in Resource-Constrained Environments, 14th Annual IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON), New York, USA, October 2023.
   

• Scanlon, M., Nikkel, B., and Geradts, Z. Digital forensic investigation in the age of ChatGPT, Forensic Science International: Digital Investigation, ISSN 2666-2825, March 2023.
   

• Kanta, A., Coisel, I., and Scanlon, M., Harder, Better, Faster, Stronger: Optimising the Performance of Context-Based Password Cracking Dictionaries, Forensic Science International: Digital Investigation, ISSN 2666-2825, March 2023.
   

• Sachintha, S., Le-Khac, N-A., Scanlon, M., and Sayakkara, A.P., Data Exfiltration through Electromagnetic Covert Channel of Wired Industrial Control Systems, Applied Sciences, Volume 13, Issue 5, ISSN 2076-3417, February 2023.
   

2022

• Rizvi, S., Scanlon, M., McGibney, J., and Sheppard, J., Deep Learning Based Network Intrusion Detection System for Resource-Constrained Environments, 13th EAI International Conference on Digital Forensics and Cybercrime (ICDF2C), Boston, MA, USA, November 2022.
   

• Rizvi, S., Scanlon, M., McGibney, J., and Sheppard, J., Application of Artificial Intelligence to Network Forensics: Survey, Challenges and Future Directions, IEEE Access, Volume 10, ISSN 2169-3536, October 2022.
   

• Kanta, A., Coisel, I., and Scanlon, M., A Novel Dictionary Generation Methodology for Contextual-Based Password Cracking, IEEE Access, Volume 10, ISSN 2169-3536, June 2022.
   

• Iqbal, M. Z., Xu, X., Nallur, V.,Scanlon, M., and Campbell, A. G., Security, Ethics and Privacy Issues in Remote Extended Reality for Education, Mixed Reality for Education, Springer, June 2022.
   

2021

• Le, Q., Miralles-Pechuán, L., Sayakkara, A., Le-Khac, N-A. and Scanlon, M., Identifying Internet of Things Software Activities using Deep Learning-based Electromagnetic Side-Channel Analysis, Forensic Science International: Digital Investigation, ISSN 2666-2825, December 2021.
   

• Kanta, A., Coisel, I., and Scanlon, M., PCWQ: A Framework for Evaluating Password Cracking Wordlist Quality, 12th EAI International Conference on Digital Forensics and Cybercrime (ICDF2C), Singapore, December 2021.
   

• Kanta, A., Coray, S., Coisel, I. and Scanlon, M., How Viable is Password Cracking in Digital Forensic Investigation? Analyzing the Guessability of over 3.9 Billion Real-World Accounts, Forensic Science International: Digital Investigation, ISSN 2666-2825, July 2021.
   

• Friday, K., Bou-Harb, E., Crichigno, J., Scanlon, M., and Beebe, N., On Offloading Network Forensic Analytics to Programmable Data Plane Switches, Book Series: World Scientific Series in Digital Forensics and Cybersecurity, UK, April 2021.
   

• Anda, F., Becker, B., Lillis, D., Le-Khac, N-A., and Scanlon, M., Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation, 22nd Triennial Meeting of the International Association of Forensic Sciences, Sydney, Australia, 17-21st May 2021.
   

• Anda, F., Dixon, E., Bou-Harb, E., Le-Khac N-A. and Scanlon, M., Vec2UAge: Enhancing Underage Age Estimation Performance through Facial Embeddings, Forensic Science International: Digital Investigation, ISSN 2666-2825, March 2021.
   

• Sester, J., Hayes, D., Scanlon, M., and Le-Khac N-A. A Comparative Study of Support Vector Machine and Neural Networks for File Type Identification Using n-gram Analysis, Forensic Science International: Digital Investigation, ISSN 2666-2825, March 2021.
   

• Du, X., Hargreaves, C., Sheppard, J., and Scanlon, M., TraceGen: User Activity Emulation for Digital Forensic Test Image Generation, Forensic Science International: Digital Investigation, ISSN 2666-2825, January 2021.
   

2020

• Kanta, A., Coisel, I., and Scanlon, M., A Survey Exploring Open Source Intelligence for Smarter Password Cracking, Forensic Science International: Digital Investigation, ISSN 2666-2825, December 2020.
   

• Bromley, S. T., Sheppard, J., Scanlon, M., and Le-Khac, N-A., Retracing the Flow of the Stream: Investigating Kodi Streaming Services, Digital Forensics and Cyber Crime: 11th EAI International Conference on Digital Forensics and Cybercrime (ICDF2C), Boston, USA, September 2020.
   

• Du, X., Hargreaves, C., Sheppard, J., Anda, F., Sayakkara, A., Le-Khac, N-A., and and Scanlon, M., SoK: Exploring the State of the Art and the Future Potential of Artificial Intelligence in Digital Forensic Investigation, 13th International Workshop on Digital Forensics (WSDF), held at the 15th International Conference on Availability, Reliability and Security (ARES), Virtual Event, August 2020.
   

• Sayakkara, A., Le-Khac, N-A., and Scanlon, M., Facilitating Electromagnetic Side-Channel Analysis for IoT Investigation: Evaluating the EMvidence Framework, Forensic Science International: Digital Investigation, ISSN 2666-2825, July 2020.
   

• Du, X., Le, Q., and Scanlon, M., Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events, The 6th IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security), Dublin, Ireland, June 2020.
   

• Anda, F., Becker, B., Lillis, D., Le-Khac, N-A., and Scanlon, M., Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation, The 6th IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security), Dublin, Ireland, June 2020.
   

• Kanta, A., Coisel, I., and Scanlon, M., Smarter Password Guessing Techniques Leveraging Contextual Information and OSINT, The 6th IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security), Dublin, Ireland, June 2020.
   

• Anda, F., Le-Khac, N-A., and Scanlon, M., DeepUAge: Improving Underage Age Estimation Accuracy to Aid CSEM Investigation, Forensic Science International: Digital Investigation, ISSN 2666-2825, April 2020.
   

• Sayakkara, A., Miralles, L., Le-Khac, N-A., and Scanlon, M., Cutting through the Emissions: Feature Selection from Electromagnetic Side-Channel Data for Activity Detection, Forensic Science International: Digital Investigation, ISSN 2666-2825, April 2020.
   

• Sayakkara, A., Le-Khac, N-A., and Scanlon, M., EMvidence: A Framework for Digital Evidence Acquisition from IoT Devices through Electromagnetic Side-Channel Analysis, Forensic Science International: Digital Investigation, ISSN 2666-2825, April 2020.
   

2019

• Anda, F., Lillis, D., Kanta, A., Becker, B., Bou-Harb, E., Le-Khac, N-A., and Mark Scanlon, Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning, The 8th International Workshop on Cyber Crime (IWCC), held at the 14th International Conference on Availability, Reliability and Security (ARES), Canterbury, UK, August 2019.
   

• Du, X. and Scanlon, M. Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts, The 12th International Workshop on Digital Forensics (WSDF), held at the 14th International Conference on Availability, Reliability and Security (ARES), Canterbury, UK, August 2019.
   

• Sayakkara, A., Le-Khac, N-A., and Scanlon, M., Leveraging Electromagnetic Side-Channel Analysis for the Investigation of IoT Devices, Digital Investigation, ISSN 1742-2876, July 2019.
   

• Anda, F., Lillis, D., Kanta, A., Becker, B., Bou-Harb, E., Le-Khac, N-A., Scanlon, M., Improving the Accuracy of Automated Facial Age Estimation to Aid CSEM Investigations, 6th Annual Digital Forensics Research Workshop Europe (DFRWS EU 2019), Oslo, Norway, April 2019.

• Sayakkara, A., Le-Khac, N-A., and Scanlon, M., A Survey of Electromagnetic Side-Channel Attacks and Discussion on their Case-Progressing Potential for Digital Forensics, Digital Investigation, Volume 29, Pages 43-54, ISSN 1742-2876, June 2019.
   

• Atwal, T. S., Scanlon, M. and Le-Khac, N-A., Shining a Light on Spotlight: Leveraging Apple's Desktop Search Utility to Recover Deleted File Metadata on macOS, Digital Investigation, ISSN 1742-2876, April 2019.
   

2018

• Vieyra, J., Scanlon, M., and Le-Khac, N-A. Solid State Drive Forensics: Where Do We Stand?, The 10th EAI International Conference on Digital Forensics & Cyber Crime (ICDF2C), New Orleans, USA, September 2018.
   

• Sayakkara, A., Le-Khac, N-A., and Scanlon, M. Accuracy Enhancement of Electromagnetic Side-channel Attacks on Computer Monitors, The Second International Workshop on Criminal Use of Information Hiding (CUING), held at the 13th International Conference on Availability, Reliability and Security (ARES), Hamburg, Germany, August 2018.
   

• Du, X., Ledwith, P., and Scanlon, M. Deduplicated Disk Image Evidence Acquisition and Forensically-Sound Reconstruction, The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom-18), New York, USA, August 2018.
   

• Sheppard, J. Cloud Investigations of Illegal IPTV Networks, The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom-18), New York, USA, August 2018.
   

• Sayakkara, A., Le-Khac, N-A., and Scanlon, M. Leveraging Electromagnetic Side-Channel Attacks for Digital Forensics, ECOOP/ISSTA 2018 Doctoral Symposium, the 32nd European Conference on Object-Oriented Programming and the 27th International Symposium on Software Testing and Analysis, Amsterdam, The Netherlands, July 2018.
   

• Sayakkara, A., Le-Khac, N-A., and Scanlon, M. Electromagnetic Side-Channel Attacks: Potential for Progressing Hindered Digital Forensic Analysis, International Workshop on Speculative Side Channel Analysis (WoSSCA 2018), held as part of the 32nd European Conference on Object-Oriented Programming and the 27th International Symposium on Software Testing and Analysis, Amsterdam, The Netherlands, July 2018.
   

• Le, Q., Boydell, O., Mac Namee, B. and Scanlon, M. Deep Learning at the Shallow End: Malware Classification for Non-Domain Experts, Digital Investigation, July 2018.
   

• Kouwen, A., Scanlon, M., Choo, K-K.R. and Le-Khac, N-A. Digital Forensic Investigation of Two-Way Radio Communication Equipment and Services, Digital Investigation, July 2018.
   

• Anda, F., Lillis, D., Le-Khac, N-A., and Scanlon, M. Evaluating Automated Facial Age Estimation Techniques for Digital Forensics, 12th International Workshop on Systematic Approaches to Digital Forensics Engineering (SADFE), IEEE Security and Privacy Workshops, San Francisco, USA, May 2018.
   

• van de Wiel, E., Scanlon, M. and Le-Khac, N-A. Network Intell: Enabling the Non-Expert Analysis of Large Volumes of Intercepted Network Traffic, Advances in Digital Forensics XIV, 2018.
   

• Kouwen, A., Le-Khac, N-A., Scanlon, M. Digital Forensic Traces in Radio Communication Equipment, 5th Annual Digital Forensics Research Workshop Europe (DFRWS EU 2018), March 2018.
   

• Lillis, D., Breitinger, F. and Scanlon, M., Hierarchical Bloom Filter Trees for Approximate Matching, Journal of Digital Forensics, Security and Law, Volume 13, Number 1, March 2018.
   

• Reed, A., Scanlon, M. and Le-Khac, N-A. Private Web Browser Forensics: A Case Study on Epic Privacy Browser, Journal of Information Warfare, Volume 17, Number 1, 2018.
   

2017

• Lillis, D., Breitinger, F., Scanlon, M., Expediting MRSH-v2 Approximate Matching with Hierarchical Bloom Filter Trees, Digital Forensics and Cyber Crime: 9th EAI International Conference on Digital Forensics and Cybercrime (ICDF2C), Prague, Czech Republic, October 2017.
   

• Fleurbaaij, D., Scanlon, M., Le-Khac, N-A., Privileged Data within Digital Evidence, 16th IEEE International Conference on Trust, Security And Privacy In Computing And Communications (TrustCom-17), Sydney, Australia, August 2017.
   

• Du, X., Le-Khac, N-A., Scanlon, M., Evaluation of Digital Forensic Process Models with Respect to Digital Forensics as a Service, 16th European Conference on Cyber Warfare and Security (ECCWS 2017), Dublin, Ireland, June 2017.
   

• Schaefer, E., Le-Khac, N-A., Scanlon, M., Integration of Ether Unpacker into Ragpicker for plugin-based Malware Analysis and Identification, 16th European Conference on Cyber Warfare and Security (ECCWS 2017), Dublin, Ireland, June 2017.
   

• Reed, A., Scanlon, M., Le-Khac, N-A., Forensic Analysis of Epic Privacy Browser on Windows Operating Systems, 16th European Conference on Cyber Warfare and Security (ECCWS 2017), Dublin, Ireland, June 2017.
   

• Du, X., Scanlon, M., Expediting the Digital Forensic Process through a Deduplicated Framework, 16th European Conference on Cyber Warfare and Security (ECCWS 2017), Dublin, Ireland, June 2017.
   

• Anda, F., Le-Khac, N-A., Scanlon, M., Automated Machine Learning-Based Digital Evidence Classification Techniques, 16th European Conference on Cyber Warfare and Security (ECCWS 2017), Dublin, Ireland, June 2017.
   

• Scanlon, M., Du, X., and Lillis, D. EviPlant: An Efficient Digital Forensic Challenge Creation, Manipulation, and Distribution Solution, Digital Investigation, Volume 25S, Number 1, Pages 29-36, ISSN 1742-2876, March 2017.
   

• Bou-Harb, E. and Scanlon, M. Behavioral Service Graphs: A Formal Data-Driven Approach for Prompt Investigation of Enterprise and Internet-wide Infections, Digital Investigation, Volume 25S, Number 1, Pages 47-55, ISSN 1742-2876, March 2017.
   

2016

• Wolahan, H., Lorenzo, C.C., Bou-Harb, E., Scanlon, M., Towards the Leveraging of Data Deduplication to Break the Disk Acquisition Speed Limit, IFIP International Workshop on Cybercrime Investigation and Digital Forensics (CID), Larnaca Bay, Cyprus, November 2016.
   

• Bou-Harb, E., Scanlon, M., Fachkha, C. Behavioral Service Graphs: A Big Data Approach for Prompt Investigation of Internet-wide Infections, IFIP International Workshop on Cybercrime Investigation and Digital Forensics (CID), Larnaca Bay, Cyprus, November 2016.
   

• Scanlon, M. Battling the Digital Forensic Backlog through Data Deduplication, 6th IEEE International Conference on Innovative Computing Technology (INTECH 2016), Dublin, Ireland, August 2016.
   

• Nicolls, M., Le-Khac, N-A., Chen, L., Scanlon, M. IPv6 Security and Forensics, 2nd International Workshop on Cloud Security and Forensics (WCSF 2016), Dublin, Ireland, August 2016.
   

• Le-Khac, N-A., Gomm, R., Scanlon, M., Kechadi, M-T. An Analytical Approach to the Recovery of Data From 3rd Party Proprietary CCTV File Systems, 15th European Conference on Cyber Warfare and Security (ECCWS 2016), Munich, Germany, July 2016.
   

• Lillis, D., Becker, B., O'Sullivan, T., Scanlon, M. Current Challenges and Future Research Areas for Digital Forensic Investigation, 11th ADFSL Conference on Digital Forensics, Security and Law (CDFSL 2016), Daytona Beach, Florida, USA, May 2016.
   

• In de Braekt, R., Le Khac, N-A., Farina, J., Scanlon, M., and Kechadi, M-T. Increasing Digital Investigator Availability through Efficient Workflow Management and Automation, 4th International Symposium on Digital Forensics and Security (ISDFS 2016), Little Rock, Arkansas, USA, April 2016.
   

• Lillis, D., and Scanlon, M. On the Benefits of Information Retrieval and Information Extraction Techniques Applied to Digital Forensics Advanced Multimedia and Ubiquitous Engineering: FutureTech & MUE, Springer, April 2016.
   

• Hitchcock, B., Le Khac, N-A., and Scanlon, M. Tiered Forensic Methodology Model for Digital Field Triage by Non-Digital Evidence Specialists, Digital Investigation, Volume 16, Number 1, Pages 75-85, ISSN 1742-2876, March 2016.
   

2015

• Farina, J., Scanlon, M., Le Khac, N-A., and Kechadi, M-T. Overview of the Forensic Investigation of Cloud Services, International Workshop on Cloud Security and Forensics (WCSF 2015), Toulouse, France, August 2015.
   

• Schut, H., Scanlon, M., Farina, J., and Le Khac, N-A. Towards the Forensic Identification and Investigation of Cloud Hosted Servers through Noninvasive Wiretaps, 10th International Conference on Availability, Reliability and Security (ARES 2015), Toulouse, France, August 2015.
   

• Farina, J., Scanlon, M., Kohlmann, S., Le Khac, N-A. and Kechadi, M-T. HTML5 Zero Configuration Covert Channels: Security Risks and Challenges, 10th ADFSL Conference on Digital Forensics, Security and Law (CDFSL 2015), Daytona Beach, Florida, USA, May 2015.
   

• Quinn, C., Scanlon, M., Farina, J., and Kechadi, M-T. Forensic Analysis and Remote Evidence Recovery from Syncthing: An Open Source Decentralised File Synchronisation Utility Digital Forensics and Cyber Crime: 7th International Conference, ICDF2C 2015, Seoul, South Korea, Revised Selected Papers, Springer, October 2015.
   

• Scanlon, M., Farina, J., and Kechadi, M-T. Network Investigation Methodology for BitTorrent Sync: A Peer-to-Peer Based File Synchronisation Service Computers and Security, Volume 54, Pages 27-43, ISSN 0167-4048, October 2015.
   

• Farina, J., Kechadi, M-T., and Scanlon, M. Project Maelstrom: Forensic Analysis of the BitTorrent-Powered Browser Journal of Digital Forensics, Security and Law: Selected Publications from 10th International Conference on Systematic Approaches to Digital Forensic Engineering (SADFE), September 2015.
   

2014

• Scanlon, M., Farina, J., and Kechadi, M-T. BitTorrent Sync: Network Investigation Methodology, 9th International Conference on Availability, Reliability and Security (ARES 2014), Fribourg, Switzerland, September 2014.
   

• Scanlon, M. and Shen, H. An Analysis of BitTorrent Cross-Swarm Peer Participation and Geolocational Distribution, First International Workshop on Hot Topics in Big Data and Networking (HotData I) , Shanghai, China, August 2014.
   

• Scanlon, M. and Kechadi, M-T. The Case for a Collaborative Universal Peer-to-Peer Botnet Investigation Framework, 9th International Conference on Cyber Warfare and Security (ICCWS-2014), CERIAS, Purdue University, Indiana, USA, March 2014.
   

• Scanlon, M., Farina, J., Le Khac, N-A. and Kechadi, M-T. Leveraging Decentralisation to Extend the Digital Evidence Acquisition Window: Case Study on BitTorrent Sync Journal of Digital Forensics, Security and Law (Special Issue: Proc. of 6th International Conference on Digital Forensics & Cyber Crime, ICDF2C’14)
   

• Farina, J., Scanlon, M. and Kechadi, M-T. BitTorrent Sync: First Impressions and Digital Forensic Implications, Digital Investigation, Volume 11, Supplement 1, Pages S77-S86, ISSN 1742-2876, May 2014.
   

2013

• Scanlon, M. and Kechadi, M-T. Universal Peer-to-Peer Network Investigation Framework, In: IEEE eds. International Workshop on Emerging Cyberthreats and Countermeasures (ECTCM 2013), part of the 8th International Conference on Availability, Reliability and Security (ARES 2013), Regensburg, Germany, September 2013.
   

• Scanlon, M., Hannaway, A. and Kechadi, M-T. Investigating Cybercrimes that Utilise Peer-to-Peer Internet Communications In K. Curran (Ed.), Pervasive and Ubiquitous Technology Innovations for Ambient Intelligence Environments, pp. 109-115, IGI Global, 2013.
   

• Scanlon, M. and Kechadi, M-T. Digital Evidence Bag Selection for P2P Network Investigation The 7th International Symposium on Digital Forensics and Information Security (DFIS-2013); Future Information Technology, Application, and Service, Gwangju, South Korea, September 2013.
   

2012

• Scanlon, M. and Kechadi, M-T. Peer-to-Peer Botnet Investigation: A Review The 6th International Symposium on Digital Forensics and Information Security (DFIS-2012); Future Information Technology, Application, and Service, Vancouver, Canada, June 2012.
   

2011

• Scanlon, M., Hannaway, A. and Kechadi, M-T. Investigating Cybercrimes that Occur on Documented P2P Networks International Journal of Ambient Computing and Intelligence (IJACI), 3 (2):56-63, April 2011.
   

2010

• Scanlon, M. Investigating Cybercrimes that Utilise Peer-to-Peer Internet Communications, Intel European Research and Innovation Conference (ERIC '10), Leixlip, Ireland, October 2010.

• Scanlon, M., Hannaway, A., and Kechadi, M-T. A Week in the Life of the Most Popular BitTorrent Swarms, 5th Annual Symposium on Information Assurance (ASIA '10); 13th Annual New York State Cyber Security Conference, Albany, New York, USA, June 2010.
   

2009

• Scanlon, M. and Kechadi, M-T. Online Acquisition of Digital Forensic Evidence Digital Forensics and Cyber Crime: 1st International Conference, ICDF2C 2009, Albany, NY, USA, Revised Selected Papers, September 2009.
   

• Scanlon, M. and Kechadi, M-T. RAFT: Remote Acquisition of Forensic Evidence, Cyber Terrorism and Crime Conference (CYTER 2009), Prague, Czech Republic, June 2009.

Invited Keynote Speaker

• Scanlon, M. Battling the Digital Forensic Backlog, 2nd International Workshop on Cloud Security and Forensics (WCSF 2016), part of the 6th International Conference on Innovating Computing Technology (INTECH 2016), Dublin, Ireland, August 2016.
   

• Scanlon, M. Remote Evidence Acquisition, 8th International Workshop on Digital Forensics (WSDF 2015), part of the 10th International Conference on Availability, Reliability and Security (ARES 2015) Toulouse, France, August 2015.
   

Conference Presentations

• Scanlon, M. Forensic Analysis of Ares Galaxy Peer-To-Peer Network 11th ADFSL Conference on Digital Forensics, Security and Law (CDFSL 2016), Daytona Beach, Florida, May 2016.

Conference Posters

• Du, X., Scanlon, M., Expediting the Digital Forensic Process through a Deduplicated Framework, 16th European Conference on Cyber Warfare and Security (ECCWS 2017) Dublin, Ireland, June 2017.
   

• Anda, F., Le-Khac, N-A., Scanlon, M., Automated Machine Learning-Based Digital Evidence Classification Techniques, 16th European Conference on Cyber Warfare and Security (ECCWS 2017) Dublin, Ireland, June 2017.
   

• Scanlon, M., Universal Peer-to-Peer Network Investigation Framework, 9th International Conference on Cyber Warfare and Security (ICCWS 2014), CERIAS, Purdue University, West Lafayette, Indiana, USA, March 2014.
   

• Kanta, A., Context-Based Password Cracking for Digital Investigation, PhD Thesis, University College Dublin, Dublin, Ireland, June 2023.
   

• Anda, F., Leveraging Deep Learning Techniques in Facial Images to Assist Cybercrime Investigations, PhD Thesis, University College Dublin, Dublin, Ireland, May 2021.
   

• Sayakkara, A., Electromagnetic Side-Channel Analysis Methods for Digital Forensics on Internet of Things, PhD Thesis, University College Dublin, Dublin, Ireland, December 2020.
   

• Du, X., Alleviating the Digital Forensic Backlog: A Methodology for Automated Digital Evidence Processing, PhD Thesis, University College Dublin, Dublin, Ireland, December 2020.