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Special Session
3rd International Special Session on
Data Mining and Machine Learning Applications for Cyber Security
 - DMMLACS 2023

15 - 17 November, 2023 - Rome, Italy

Within the 19th International Conference on Web Information Systems and Technologies - WEBIST 2023


Alaa Mohasseb
School of Computing, University of Portsmouth
United Kingdom

Brief Bio
Alaa Mohasseb is a senior lecturer in Computer Science at the School of Computing, University of Portsmouth. There she is a member of the computational intelligent research group. She received her PhD in computing from the University of Portsmouth in 2018. Her current research interests are in the field of Text Mining, Natural Language Processing, and Machine learning, and the implementation of methods in these fields to different applications such as question classification and cybersecurity threat prediction. She has won several awards including the bronze prize in the annual international competition on best Research & Innovation projects in Cyber Security, run by the Korean Industrial Technology Security Hub.
Benjamin Aziz
Creative and Digital Industries, Buckinghamshire New University
United Kingdom
Brief Bio
Dr Benjamin Aziz is an Associate Professor at the School of Creative and Digital Industries, Buckinghamshire New University. Benjamin holds PhD degree in formal verification of computer security from Dublin City University (2003) and has research interests and experience in the field of computer and information security, with over 160 publications related to areas such as security engineering of large-scale systems, IoT and SDN security, formal methods, requirements engineering and digital forensics. He is on board several program committees for international conferences and working groups, including ERCIM's FMICS, STM, Cloud Security Alliance and IFIP WG11.3.


The increasing amount and complexity of cybersecurity attacks in recent years have made cyber threats emerge as an important issue in companies and with the implementation of data mining and machine learning techniques it has become an important topic and factor in discovering features of such attacks and detecting future security threats. This special session aims to bring together practitioners and researchers from academia and industry to obtain insight into the current state of the practice of data mining and machine learning applications and to discuss the challenges, approaches and importance of cyber threats predictions and how using emerging technologies such as machine learning could improve the prevention of such attacks.


Topics of interest include, but are not limited to:
  • Cyber Threat Detection and Classification using Machine Learning
  • Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) with Data Mining Techniques
  • Behavioral Biometrics for User Authentication and Access Control
  • Malware Analysis and Detection Using Machine Learning Algorithms
  • Anomaly Detection in Network Traffic for Early Threat Identification
  • Threat Intelligence and Real-time Cyber Defense with Data Mining
  • Privacy-preserving Data Mining in Cyber Security
  • Adversarial Machine Learning in Cyber Security
  • Big Data Analytics for Cyber Security
  • Case Studies and Real-world Applications of Data Mining in Cyber Security


Paper Submission: September 15, 2023 (expired)
Authors Notification: September 29, 2023 (expired)
Camera Ready and Registration: October 9, 2023 (expired)


Taiwo Adedeji, University of Portsmouth, United Kingdom
Rafid Al-Khannak, Computing, Buckinghamshire New University, United Kingdom
Elisavet Andrikopoulou, University of Portsmouth, United Kingdom
Anton Borg, Department of Computer Science, Blekinge Institute of Technology, Sweden
Ramazan Esmeli, University of Portsmouth, United Kingdom

(list not yet complete)


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SciTePress Digital Library (
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).


WEBIST Special Sessions - DMMLACS 2023