DMMLACS 2020
Computer Security & Cryptography Data Mining & Analysis Engineering & Computer Science (General)
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.
The topics to be covered but not limited to:
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
IMPORTANT DATES
Paper Submission: September 7, 2020
Authors Notification: September 22, 2020
Camera Ready and Registration: September 30, 2020