Special Session on Data Mining and Machine Learning Applications for Cyber Security - DMMLACS 2023 Within the 19th International Conference on Web Information Systems and Technologies - WEBIST 2023.

SCOPE
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
- 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

IMPORTANT DATES
Paper Submission: September 15, 2023
Authors Notification: September 29, 2023
Camera Ready and Registration: October 9, 2023