ML4CS 2022 welcomes original and innovative work from academia, industry and government presenting novel research efforts on all theoretical and practical aspects of machine learning, data mining and big data applications in cyber security. Areas of interest include, but are not limited to:

Machine learning based malware detection and analysis
Machine learning based spam and phishing detection
Machine learning based vulnerability discovery
Machine learning based botnet detection
Machine learning based Intrusion detection and prevention
Machine learning based social network security
Machine learning based computer Forensics
Anomaly detection using machine learning and data mining
Game theory for cybersecurity
Machine learning based privacy protection
Machine learning for user authentication
Adversarial machine Learning
Cybersecurity incident prediction
Machine learning based insider attack detection
Information leakage attack and defence using machine learning
Machine learning based attack and defence of advanced persistent threat
Security of machine learning algorithms
Machine learning meets cryptography
Machine learning based cyber data analytics
Advanced machine learning for big cyber data
Sensitive information protection in machine learning based service
Cyber traffic analytics using machine learning
Data driven cybersecurity
AI driven cybersecurity
Security analytics of AI systems
Big data analytics for cybersecurity
Privacy issues related to ML for cybersecurity

Authors are invited to submit original papers not previously published nor submitted in parallel for publication to any other conference, workshop or journal. All submitted papers must be anonymous, with no author names, affiliations, acknowledgements, or obvious references.

Submissions should be in English, as a PDF file with all fonts embedded, in the Springer-Verlag LNCS format, typeset with 11pt font, and using reasonable spacing and margins. Papers should not exceed 16 pages in LNCS style including the bibliography, but excluding well-marked appendices (no more than 18 pages in total). Submitted papers may risk being rejected directly without consideration of their merits if they do not follow all the above submission instructions.