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2020 – today
- 2024
[j32]Lojenaa Navanesan
, Nhien-An Le-Khac, Mark Scanlon, Kasun De Zoysa, Asanka P. Sayakkara:
Ensuring cross-device portability of electromagnetic side-channel analysis for digital forensics. Forensic Sci. Int. Digit. Investig. 48: 301684 (2024)- [j31]Frank Breitinger, Jan-Niclas Hilgert, Christopher Hargreaves, John Sheppard, Rebekah Overdorf, Mark Scanlon:
DFRWS EU 10-year review and future directions in Digital Forensic Research. Forensic Sci. Int. Digit. Investig. 48: 301685 (2024) - [j30]Aikaterini Kanta, Iwen Coisel, Mark Scanlon:
A comprehensive evaluation on the benefits of context based password cracking for digital forensics. J. Inf. Secur. Appl. 84: 103809 (2024) - [c29]Akila Wickramasekara, Mark Scanlon:
A Framework for Integrated Digital Forensic Investigation Employing AutoGen AI Agents. ISDFS 2024: 1-6 - [c28]Muhammad Rusyaidi Zunaidi, Asanka P. Sayakkara, Mark Scanlon:
A Digital Forensic Methodology for Encryption Key Recovery from Black-Box IoT Devices. ISDFS 2024: 1-7 - [i42]Muhammad Rusyaidi Zunaidi, Asanka P. Sayakkara, Mark Scanlon:
Systematic Literature Review of EM-SCA Attacks on Encryption. CoRR abs/2402.10030 (2024) - [i41]Opeyemi Bamigbade, John Sheppard, Mark Scanlon:
Computer Vision for Multimedia Geolocation in Human Trafficking Investigation: A Systematic Literature Review. CoRR abs/2402.15448 (2024) - [i40]Akila Wickramasekara, Frank Breitinger, Mark Scanlon:
SoK: Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency. CoRR abs/2402.19366 (2024) - 2023
- [j29]Aikaterini Kanta, Iwen Coisel, Mark Scanlon:
Harder, better, faster, stronger: Optimising the performance of context-based password cracking dictionaries. Forensic Sci. Int. Digit. Investig. 44(Supplement): 301507 (2023) - [j28]Mark Scanlon, Bruce J. Nikkel, Zeno J. M. H. Geradts:
Digital forensic investigation in the age of ChatGPT. Forensic Sci. Int. Digit. Investig. 44: 301543 (2023) - [j27]Mark Scanlon, Frank Breitinger, Christopher Hargreaves, Jan-Niclas Hilgert, John Sheppard:
ChatGPT for digital forensic investigation: The good, the bad, and the unknown. Forensic Sci. Int. Digit. Investig. 46(Supplement): 301609 (2023) - [c27]Syed Rizvi, Mark Scanlon, Jimmy McGibney, John Sheppard:
An Evaluation of AI-Based Network Intrusion Detection in Resource-Constrained Environments. UEMCON 2023: 275-282 - [i39]Mark Scanlon, Frank Breitinger, Christopher Hargreaves, Jan-Niclas Hilgert, John Sheppard:
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown. CoRR abs/2307.10195 (2023) - [i38]Frank Breitinger, Jan-Niclas Hilgert, Christopher Hargreaves, John Sheppard, Rebekah Overdorf, Mark Scanlon:
DFRWS EU 10-Year Review and Future Directions in Digital Forensic Research. CoRR abs/2312.11292 (2023) - [i37]Lojenaa Navanesan, Nhien-An Le-Khac, Mark Scanlon, Kasun De Zoysa, Asanka P. Sayakkara:
Ensuring Cross-Device Portability of Electromagnetic Side-Channel Analysis. CoRR abs/2312.11301 (2023) - 2022
- [j26]Aikaterini Kanta, Iwen Coisel, Mark Scanlon:
A Novel Dictionary Generation Methodology for Contextual-Based Password Cracking. IEEE Access 10: 59178-59188 (2022) - [j25]Syed Rizvi, Mark Scanlon, Jimmy McGibney, John Sheppard:
Application of Artificial Intelligence to Network Forensics: Survey, Challenges and Future Directions. IEEE Access 10: 110362-110384 (2022) - [c26]Syed Rizvi, Mark Scanlon, Jimmy McGibney, John Sheppard:
Deep Learning Based Network Intrusion Detection System for Resource-Constrained Environments. ICDF2C 2022: 355-367 - 2021
- [j24]Felix Anda, Edward Dixon, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon:
Vec2UAge: Enhancing underage age estimation performance through facial embeddings. Digit. Investig. 36 Supplement: 301119 (2021) - [j23]Joachim Sester, Darren R. Hayes, Mark Scanlon, Nhien-An Le-Khac:
A comparative study of support vector machine and neural networks for file type identification using n-gram analysis. Digit. Investig. 36 Supplement: 301121 (2021) - [j22]Aikaterini Kanta, Sein Coray, Iwen Coisel, Mark Scanlon:
How viable is password cracking in digital forensic investigation? Analyzing the guessability of over 3.9 billion real-world accounts. Digit. Investig. 37 Supplement: 301186 (2021) - [j21]Quan Le, Luis Miralles-Pechuán, Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis. Digit. Investig. 39: 301308 (2021) - [c25]Aikaterini Kanta, Iwen Coisel, Mark Scanlon:
PCWQ: A Framework for Evaluating Password Cracking Wordlist Quality. ICDF2C 2021: 159-175 - 2020
- [j20]Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
EMvidence: A Framework for Digital Evidence Acquisition from IoT Devices through Electromagnetic Side-Channel Analysis. Digit. Investig. 32 Supplement: 300907 (2020) - [j19]Felix Anda, Nhien-An Le-Khac, Mark Scanlon:
DeepUAge: Improving Underage Age Estimation Accuracy to Aid CSEM Investigation. Digit. Investig. 32 Supplement: 300921 (2020) - [j18]Asanka P. Sayakkara, Luis Miralles-Pechuán, Nhien-An Le-Khac, Mark Scanlon:
Cutting Through the Emissions: Feature Selection from Electromagnetic Side-Channel Data for Activity Detection. Digit. Investig. 32 Supplement: 300927 (2020) - [j17]Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
Facilitating Electromagnetic Side-Channel Analysis for IoT Investigation: Evaluating the EMvidence Framework. Digit. Investig. 33 Supplement: 301003 (2020) - [j16]Aikaterini Kanta, Iwen Coisel, Mark Scanlon:
A survey exploring open source Intelligence for smarter password cracking. Digit. Investig. 35: 301075 (2020) - [c24]Xiaoyu Du, Chris Hargreaves, John Sheppard, Felix Anda, Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
SoK: exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation. ARES 2020: 46:1-46:10 - [c23]Felix Anda, Brett A. Becker, David Lillis, Nhien-An Le-Khac, Mark Scanlon:
Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation. Cyber Security 2020: 1-8 - [c22]Xiaoyu Du, Quan Le, Mark Scanlon:
Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events. Cyber Security 2020: 1-8 - [c21]Aikaterini Kanta, Iwen Coisel, Mark Scanlon:
Smarter Password Guessing Techniques Leveraging Contextual Information and OSINT. Cyber Security 2020: 1-2 - [c20]Samuel Todd Bromley, John Sheppard, Mark Scanlon, Nhien-An Le-Khac:
Retracing the Flow of the Stream: Investigating Kodi Streaming Services. ICDF2C 2020: 231-236 - [i36]Samuel Todd Bromley, John Sheppard, Mark Scanlon, Nhien-An Le-Khac:
Retracing the Flow of the Stream: Investigating Kodi Streaming Services. CoRR abs/2012.01107 (2020) - [i35]Aikaterini Kanta, Iwen Coisel, Mark Scanlon:
Smarter Password Guessing Techniques Leveraging Contextual Information and OSINT. CoRR abs/2012.01159 (2020) - [i34]Felix Anda, Brett A. Becker, David Lillis, Nhien-An Le-Khac, Mark Scanlon:
Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation. CoRR abs/2012.01179 (2020) - [i33]Xiaoyu Du, Quan Le, Mark Scanlon:
Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events. CoRR abs/2012.01972 (2020) - [i32]Xiaoyu Du, Chris Hargreaves, John Sheppard, Felix Anda, Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
SoK: Exploring the State of the Art and the Future Potential of Artificial Intelligence in Digital Forensic Investigation. CoRR abs/2012.01987 (2020)
2010 – 2019
- 2019
- [j15]Tajvinder Singh Atwal, Mark Scanlon, Nhien-An Le-Khac:
Shining a light on Spotlight: Leveraging Apple's desktop search utility to recover deleted file metadata on macOS. Digit. Investig. 28 Supplement: S105-S115 (2019) - [j14]Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon:
Improving the accuracy of automated facial age estimation to aid CSEM investigations. Digit. Investig. 28 Supplement: S142 (2019) - [j13]Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
A survey of electromagnetic side-channel attacks and discussion on their case-progressing potential for digital forensics. Digit. Investig. 29: 43-54 (2019) - [j12]Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
Leveraging Electromagnetic Side-Channel Analysis for the Investigation of IoT Devices. Digit. Investig. 29 Supplement: S94-S103 (2019) - [c19]Xiaoyu Du, Mark Scanlon:
Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts. ARES 2019: 43:1-43:8 - [c18]Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon:
Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning. ARES 2019: 57:1-57:8 - [i31]Tajvinder Singh Atwal, Mark Scanlon, Nhien-An Le-Khac:
Shining a light on Spotlight: Leveraging Apple's desktop search utility to recover deleted file metadata on macOS. CoRR abs/1903.07053 (2019) - [i30]Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
A Survey of Electromagnetic Side-Channel Attacks and Discussion on their Case-Progressing Potential for Digital Forensics. CoRR abs/1903.07703 (2019) - [i29]Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
Leveraging Electromagnetic Side-Channel Analysis for the Investigation of IoT Devices. CoRR abs/1904.02089 (2019) - [i28]Xiaoyu Du, Mark Scanlon:
Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts. CoRR abs/1907.01421 (2019) - [i27]Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon:
Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning. CoRR abs/1907.01427 (2019) - 2018
- [j11]Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon:
Deep learning at the shallow end: Malware classification for non-domain experts. Digit. Investig. 26 Supplement: S118-S126 (2018) - [j10]Arie Kouwen, Mark Scanlon, Kim-Kwang Raymond Choo, Nhien-An Le-Khac:
Digital forensic investigation of two-way radio communication equipment and services. Digit. Investig. 26 Supplement: S77-S86 (2018) - [j9]David Lillis, Frank Breitinger, Mark Scanlon:
Hierarchical Bloom Filter Trees for Approximate Matching. J. Digit. Forensics Secur. Law 13(1): 81-96 (2018) - [c17]Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
Accuracy Enhancement of Electromagnetic Side-Channel Attacks on Computer Monitors. ARES 2018: 15:1-15:9 - [c16]John Vieyra, Mark Scanlon, Nhien-An Le-Khac:
Solid State Drive Forensics: Where Do We Stand? ICDF2C 2018: 149-164 - [c15]Erwin van de Wiel, Mark Scanlon, Nhien-An Le-Khac:
Enabling Non-Expert Analysis OF Large Volumes OF Intercepted Network Traffic. IFIP Int. Conf. Digital Forensics 2018: 183-197 - [c14]Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
Electromagnetic side-channel attacks: potential for progressing hindered digital forensic analysis. ISSTA/ECOOP Workshops 2018: 138-143 - [c13]Felix Anda, David Lillis, Nhien-An Le-Khac, Mark Scanlon:
Evaluating Automated Facial Age Estimation Techniques for Digital Forensics. IEEE Symposium on Security and Privacy Workshops 2018: 129-139 - [c12]Xiaoyu Du, Paul Ledwith, Mark Scanlon:
Deduplicated Disk Image Evidence Acquisition and Forensically-Sound Reconstruction. TrustCom/BigDataSE 2018: 1674-1679 - [i26]Arie Kouwen, Mark Scanlon, Kim-Kwang Raymond Choo, Nhien-An Le-Khac:
Digital forensic investigation of two-way radio communication equipment and services. CoRR abs/1807.08264 (2018) - [i25]Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon:
Deep learning at the shallow end: Malware classification for non-domain experts. CoRR abs/1807.08265 (2018) - 2017
- [j8]Mark Scanlon, Xiaoyu Du, David Lillis:
EviPlant: An efficient digital forensic challenge creation, manipulation and distribution solution. Digit. Investig. 20 Supplement: S29-S36 (2017) - [j7]Elias Bou-Harb, Mark Scanlon:
Behavioral Service Graphs: A formal data-driven approach for prompt investigation of enterprise and internet-wide infections. Digit. Investig. 20 Supplement: S47-S55 (2017) - [c11]David Lillis, Frank Breitinger, Mark Scanlon:
Expediting MRSH-v2 Approximate Matching with Hierarchical Bloom Filter Trees. ICDF2C 2017: 144-157 - [c10]Dominique Fleurbaaij, Mark Scanlon, Nhien-An Le-Khac:
Privileged Data Within Digital Evidence. TrustCom/BigDataSE/ICESS 2017: 737-744 - [i24]Mark Scanlon, Xiaoyu Du, David Lillis:
EviPlant: An efficient digital forensic challenge creation, manipulation and distribution solution. CoRR abs/1704.08990 (2017) - [i23]Dominique Fleurbaaij, Mark Scanlon, Nhien-An Le-Khac:
Privileged Data within Digital Evidence. CoRR abs/1708.01728 (2017) - [i22]Xiaoyu Du, Nhien-An Le-Khac, Mark Scanlon:
Evaluation of Digital Forensic Process Models with Respect to Digital Forensics as a Service. CoRR abs/1708.01730 (2017) - [i21]Erik Schaefer, Nhien-An Le-Khac, Mark Scanlon:
Integration of Ether Unpacker into Ragpicker for plugin-based Malware Analysis and Identification. CoRR abs/1708.01731 (2017) - [i20]Alan Reed, Mark Scanlon, Nhien-An Le-Khac:
Forensic Analysis of Epic Privacy Browser on Windows Operating Systems. CoRR abs/1708.01732 (2017) - [i19]Ronald In de Braekt, Nhien-An Le-Khac, Jason Farina, Mark Scanlon, M. Tahar Kechadi:
Increasing digital investigator availability through efficient workflow management and automation. CoRR abs/1708.09053 (2017) - [i18]Mark Scanlon:
Enabling the Remote Acquisition of Digital Forensic Evidence through Secure Data Transmission and Verification. CoRR abs/1712.02529 (2017) - [i17]Mark Scanlon:
Study of Peer-to-Peer Network Based Cybercrime Investigation: Application on Botnet Technologies. CoRR abs/1712.03455 (2017) - [i16]David Lillis, Frank Breitinger, Mark Scanlon:
Hierarchical Bloom Filter Trees for Approximate Matching. CoRR abs/1712.04544 (2017) - [i15]Erwin van de Wiel, Mark Scanlon, Nhien-An Le-Khac:
Network Intell: Enabling the Non-Expert Analysis of Large Volumes of Intercepted Network Traffic. CoRR abs/1712.05727 (2017) - 2016
- [j6]Ben Hitchcock, Nhien-An Le-Khac, Mark Scanlon:
Tiered forensic methodology model for Digital Field Triage by non-digital evidence specialists. Digit. Investig. 16 Supplement: S75-S85 (2016) - [c9]Elias Bou-Harb, Mark Scanlon, Claude Fachkha:
Behavioral Service Graphs: A Big Data Approach for Prompt Investigation of Internet-Wide Infections. NTMS 2016: 1-5 - [c8]Hannah Wolahan, Claudio Chico Lorenzo, Elias Bou-Harb, Mark Scanlon:
Towards the Leveraging of Data Deduplication to Break the Disk Acquisition Speed Limit. NTMS 2016: 1-5 - [i14]Ben Hitchcock, Nhien-An Le-Khac, Mark Scanlon:
Tiered Forensic Methodology Model for Digital Field Triage by Non-Digital Evidence Specialists. CoRR abs/1604.03844 (2016) - [i13]David Lillis, Brett A. Becker, Tadhg O'Sullivan, Mark Scanlon:
Current Challenges and Future Research Areas for Digital Forensic Investigation. CoRR abs/1604.03850 (2016) - [i12]Mark Scanlon:
Battling the Digital Forensic Backlog through Data Deduplication. CoRR abs/1610.00248 (2016) - [i11]Hannah Wolahan, Claudio Chico Lorenzo, Elias Bou-Harb, Mark Scanlon:
Towards the Leveraging of Data Deduplication to Break the Disk Acquisition Speed Limit. CoRR abs/1610.05462 (2016) - 2015
- [j5]Mark Scanlon, Jason Farina, M. Tahar Kechadi:
Network investigation methodology for BitTorrent Sync: A Peer-to-Peer based file synchronisation service. Comput. Secur. 54: 27-43 (2015) - [j4]Jason Farina, M. Tahar Kechadi, Mark Scanlon:
Project Maelstrom: Forensic Analysis of the BitTorrent-Powered Browser. J. Digit. Forensics Secur. Law 10(4): 115-124 (2015) - [c7]Hessel Schut, Mark Scanlon, Jason Farina, Nhien-An Le-Khac:
Towards the Forensic Identification and Investigation of Cloud Hosted Servers through Non-Invasive Wiretaps. ARES 2015: 249-257 - [c6]Jason Farina, Mark Scanlon, Nhien-An Le-Khac, M. Tahar Kechadi:
Overview of the Forensic Investigation of Cloud Services. ARES 2015: 556-565 - [c5]Conor Quinn, Mark Scanlon, Jason Farina, M. Tahar Kechadi:
Forensic Analysis and Remote Evidence Recovery from Syncthing: An Open Source Decentralised File Synchronisation Utility. ICDF2C 2015: 85-99 - [i10]Mark Scanlon, Jason Farina, M. Tahar Kechadi:
Network investigation methodology for BitTorrent Sync: A Peer-to-Peer based file synchronisation service. CoRR abs/1506.01414 (2015) - [i9]Jason Farina, M. Tahar Kechadi, Mark Scanlon:
Project Maelstrom: Forensic Analysis of the BitTorrent-Powered Browser. CoRR abs/1510.00651 (2015) - [i8]Jason Farina, Mark Scanlon, Stephen Kohlmann, Nhien-An Le-Khac, M. Tahar Kechadi:
HTML5 Zero Configuration Covert Channels: Security Risks and Challenges. CoRR abs/1510.00661 (2015) - [i7]Hessel Schut, Mark Scanlon, Jason Farina, Nhien-An Le-Khac:
Towards the Forensic Identification and Investigation of Cloud Hosted Servers through Noninvasive Wiretaps. CoRR abs/1510.00664 (2015) - 2014
- [j3]Jason Farina, Mark Scanlon, M. Tahar Kechadi:
BitTorrent Sync: First Impressions and Digital Forensic Implications. Digit. Investig. 11(Supplement 1): S77-S86 (2014) - [j2]Mark Scanlon, Jason Farina, Nhien-An Le-Khac, M. Tahar Kechadi:
Leveraging Decentralization to Extend the Digital Evidence Acquisition Window: Case Study on Bittorrent Sync. J. Digit. Forensics Secur. Law 9(2): 85-100 (2014) - [c4]Mark Scanlon, Jason Farina, M. Tahar Kechadi:
BitTorrent Sync: Network Investigation Methodology. ARES 2014: 21-29 - [c3]Mark Scanlon, Huijie Shen:
An analysis of BitTorrent cross-swarm peer participation and geolocational distribution. ICCCN 2014: 1-6 - [i6]Mark Scanlon, Huijie Shen:
An Analysis of BitTorrent Cross-Swarm Peer Participation and Geolocational Distribution. CoRR abs/1409.8171 (2014) - [i5]Jason Farina, Mark Scanlon, M. Tahar Kechadi:
BitTorrent Sync: First Impressions and Digital Forensic Implications. CoRR abs/1409.8174 (2014) - [i4]Mark Scanlon, Jason Farina, Nhien-An Le-Khac, M. Tahar Kechadi:
Leveraging Decentralization to Extend the Digital Evidence Acquisition Window: Case Study on BitTorrent Sync. CoRR abs/1409.8486 (2014) - [i3]Mark Scanlon, Jason Farina, M. Tahar Kechadi:
BitTorrent Sync: Network Investigation Methodology. CoRR abs/1409.8489 (2014) - [i2]Mark Scanlon, M. Tahar Kechadi:
The Case for a Collaborative Universal Peer-to-Peer Botnet Investigation Framework. CoRR abs/1409.8490 (2014) - [i1]Mark Scanlon, M. Tahar Kechadi:
Digital Evidence Bag Selection for P2P Network Investigation. CoRR abs/1409.8493 (2014) - 2013
- [c2]Mark Scanlon, M. Tahar Kechadi:
Universal Peer-to-Peer Network Investigation Framework. ARES 2013: 694-700 - 2011
- [j1]Mark Scanlon, Alan Hannaway, M. Tahar Kechadi:
Investigating Cybercrimes that Occur on Documented P2P Networks. Int. J. Ambient Comput. Intell. 3(2): 56-63 (2011)
2000 – 2009
- 2009
- [c1]Mark Scanlon, Mohand Tahar Kechadi:
Online Acquisition of Digital Forensic Evidence. ICDF2C 2009: 122-131
Coauthor Index
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