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Special Session
1st International Special Session on
Data Mining and Machine Learning Applications for Cyber Security
 - DMMLACS 2020

3 - 5 November, 2020

Within the 16th International Conference on Web Information Systems and Technologies - WEBIST 2020


Alaa Mohasseb
University of Portsmouth
United Kingdom

Brief Bio
Dr. Alaa Mohasseb is a 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
University of Portsmouth
United Kingdom
Brief Bio
Dr Benjamin Aziz is a Senior Lecturer at the School of Computing, University of Portsmouth. 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 130 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 an insight into the current state of the practice of data mining and machine learning applications and to discuss the challenges, approaches and the importance of cyber threats predictions and how using emerging technologies such as machine learning could improve the prevention of such attacks.


Paper Submission: September 21, 2020 (expired)
Authors Notification: September 28, 2020 (expired)
Camera Ready and Registration: October 6, 2020


Available soon.


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 (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).


WEBIST Special Sessions - DMMLACS 2020
e-mail: webist.secretariat@insticc.org