Mark Scanlon

Mark Scanlon

University College Dublin

H-index: 21

Europe-Ireland

About Mark Scanlon

Mark Scanlon, With an exceptional h-index of 21 and a recent h-index of 19 (since 2020), a distinguished researcher at University College Dublin, specializes in the field of Digital Forensics, Cybersecurity, Network Analytics, Digital Investigation, Computer Forensics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Revealing IoT Cryptographic Settings through Electromagnetic Side-Channel Analysis

A Framework for Integrated Digital Forensic Investigation Employing AutoGen AI Agents

Ensuring cross-device portability of electromagnetic side-channel analysis for digital forensics

DFRWS EU 10-year review and future directions in Digital Forensic Research

SoK: Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency

Computer Vision for Multimedia Geolocation in Human Trafficking Investigation: A Systematic Literature Review

Harder, better, faster, stronger: Optimising the performance of context-based password cracking dictionaries

Data exfiltration through electromagnetic covert channel of wired industrial control systems

Mark Scanlon Information

University

Position

Assistant Professor in Forensic Computing and Cybercrime Investigaton

Citations(all)

1755

Citations(since 2020)

1382

Cited By

826

hIndex(all)

21

hIndex(since 2020)

19

i10Index(all)

41

i10Index(since 2020)

34

Email

University Profile Page

University College Dublin

Google Scholar

View Google Scholar Profile

Mark Scanlon Skills & Research Interests

Digital Forensics

Cybersecurity

Network Analytics

Digital Investigation

Computer Forensics

Top articles of Mark Scanlon

Title

Journal

Author(s)

Publication Date

Revealing IoT Cryptographic Settings through Electromagnetic Side-Channel Analysis

Electronics

Muhammad Rusyaidi Zunaidi

Asanka Sayakkara

Mark Scanlon

2024/1

A Framework for Integrated Digital Forensic Investigation Employing AutoGen AI Agents

Proceedings of the 12th International Symposium on Digital Forensics and Security

Akila Wickramasekara

Mark Scanlon

2024/4/1

Ensuring cross-device portability of electromagnetic side-channel analysis for digital forensics

Forensic Science International: Digital Investigation

Lojenaa Navanesan

Nhien-An Le-Khac

Mark Scanlon

Kasun De Zoysa

Asanka P Sayakkara

2024/3/1

DFRWS EU 10-year review and future directions in Digital Forensic Research

Frank Breitinger

Jan-Niclas Hilgert

Christopher Hargreaves

John Sheppard

Rebekah Overdorf

...

2024/3/1

SoK: Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency

arXiv preprint arXiv:2402.19366

Akila Wickramasekara

Frank Breitinger

Mark Scanlon

2024/2/29

Computer Vision for Multimedia Geolocation in Human Trafficking Investigation: A Systematic Literature Review

Opeyemi Bamigbade

John Sheppard

Mark Scanlon

2024/2/23

Harder, better, faster, stronger: Optimising the performance of context-based password cracking dictionaries

Forensic Science International: Digital Investigation

Aikaterini Kanta

Iwen Coisel

Mark Scanlon

2023/3/1

Data exfiltration through electromagnetic covert channel of wired industrial control systems

Applied Sciences

Shakthi Sachintha

Nhien-An Le-Khac

Mark Scanlon

Asanka P Sayakkara

2023/2/24

An Evaluation of AI-Based Network Intrusion Detection in Resource-Constrained Environments

Syed Rizvi

Mark Scanlon

Jimmy McGibney

John Sheppard

2023/10/12

ChatGPT for digital forensic investigation: The good, the bad, and the unknown

Forensic Science International: Digital Investigation

Mark Scanlon

Frank Breitinger

Christopher Hargreaves

Jan-Niclas Hilgert

John Sheppard

2023/10/1

Security, Ethics and Privacy Issues in the Remote Extended Reality for Education

Muhammad Zahid Iqbal

Xuanhui Xu

Vivek Nallur

Mark Scanlon

Abraham G Campbell

2023/9/17

Digital forensic investigation in the age of ChatGPT

Forensic Science International: Digital Investigation

Mark Scanlon

Bruce Nikkel

Zeno Geradts

2023/4/15

Deep learning based network intrusion detection system for resource-constrained environments

Syed Rizvi

Mark Scanlon

Jimmy McGibney

John Sheppard

2022/11/16

Application of artificial intelligence to network forensics: Survey, challenges and future directions

IEEE Access

Syed Rizvi

Mark Scanlon

Jimmy Mcgibney

John Sheppard

2022/10/13

A novel dictionary generation methodology for contextual-based password cracking

IEEE Access

Aikaterini Kanta

Iwen Coisel

Mark Scanlon

2022/6/2

A comparative study of support vector machine and neural networks for file type identification using n-gram analysis

Journal of Computer and Communications (JCC)

Biplab Madhu

Md. Azizur Rahman

Arnab Mukherjee

Md. Zahidul Islam

Raju Roy

...

2021

PCWQ: A framework for evaluating password cracking wordlist quality

Aikaterini Kanta

Iwen Coisel

Mark Scanlon

2021/12/6

On offloading network forensic analytics to programmable data plane switches

World ScientificNow Publishers series in business

Kurt Friday

2021/1

Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis

Forensic Science International: Digital Investigation

Quan Le

Luis Miralles-Pechuán

Asanka Sayakkara

Nhien-An Le-Khac

Mark Scanlon

2021/12/1

Retracing the Flow of the Stream: Investigating Kodi Streaming Services

Samuel Todd Bromley

John Sheppard

Mark Scanlon

Nhien-An Le-Khac

2021

See List of Professors in Mark Scanlon University(University College Dublin)

Co-Authors

H-index: 38
Nhien-An Le-Khac

Nhien-An Le-Khac

University College Dublin

H-index: 35
Brett A. Becker

Brett A. Becker

University College Dublin

H-index: 32
Frank Breitinger

Frank Breitinger

Université de Lausanne

H-index: 29
Brian Mac Namee

Brian Mac Namee

University College Dublin

H-index: 24
Lei Chen

Lei Chen

Georgia Southern University

H-index: 17
Abraham G. Campbell

Abraham G. Campbell

University College Dublin

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