ICDMCS 2020 : International Conference on Data Mining for Cyber Security is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Data Mining for Cyber Security. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

• Data mining for cyber security
• Data mining for intrusion detection and prevention
• Data mining for fraud detection and prevention
• Monitoring network security
• One-class based anomaly detection
• Data stream mining for security
• Deep learning for cyber security
• Big data architectures for network security
• Identify theft detection and prevention
• Evaluating data mining approaches to security
• Adversarial machine learning
• Detecting data and information leakage using data mining techniques
• Detecting malicious code using data mining techniques
• Detecting compromised IoT devices
• Detecting malicious documents
• Detecting security threats in social networks