2nd International Special Session on
Data Mining and Machine Learning Applications for Cyber Security - DMMLACS 2021
26 - 28 October, 2021
Within the 17th International Conference on Web Information Systems and Technologies - WEBIST 2021
The purpose of the International Conference on Web Information Systems and Technologies (WEBIST) is to bring together researchers, engineers and practitioners interested in the technological advances and business applications of web-based information systems. The conference has five main tracks, covering different aspects of Web Information Systems, namely Internet Technology, Web Interfaces and Applications, Society, e-Communities, e-Business, Web Intelligence and Mobile Information Systems. WEBIST focuses on real world applications; therefore authors should highlight the benefits of Web Information Systems and Technologies for industry and services, in addition to academic applications. Ideas on how to solve business problems using web-based information systems and technologies, will be discussed at the conference.
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.
TOPICS OF INTEREST
- Applications of data mining and machine learning in Cyber threats prediction
- Applications of data mining and machine learning in digital security and social networks
- Applications of data mining and machine learning in detection and prevention of identity theft
- Applications of data mining and machine learning in the identification of malware
- Applications of data mining and machine learning in detection and prevention of phishing threats
- Applications of data mining and machine learning in information security
- Applications of data mining and machine learning in cyber-attack detection and prevention
- Applications of data mining and machine learning in Web server attacks
- Applications of data mining and machine learning in fraud detection
- Applications of data mining and machine learning in email spam and malware filtering