AWMLC18 is the first Australasian workshop on machine learning for cyber security. AWMLC18 is established through the joint effort between academia and industry. The main objectives of this workshop are:

• Bring together industry people and academics (both security experts and machine learning / data mining experts) in the area of ML for cyber security
• Cyber security offers a different set of problems and requirements to ML and data mining
• Explore these differences and expose Machine Learning/data mining researchers to the cyber security context
• Expand the scope of the PAKDD conference to a wider audience

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. Submission page for this workshop is: https://easychair.org/conferences/?conf=awmlc18 The following paper categories are welcome:

• Full papers Papers for this workshop must conform to the PAKDD 2018 submission policy at http://prada-research.net/pakdd18/index.php/submission-policy/. Page limit for this workshop --- 8 pages max. Accepted papers presented at the workshop will be submitted for inclusion to PAKDD 2018 proceedings.

List of Topics

• Malware detection and/or classification
• Spam and Phishing detection
• Botnet detection
• Intrusion detection and Intrusion prevention
• Social Networks Abuse
• Computer Forensics
• Anomaly detection
• Vulnerability identification and/or testing
• Game Theory related to ML and/or security
• Privacy issues related to ML for cyber security
• User Authentication
• Adversarial Machine Learning

Committees

Program Committee

• Jun Zhang (Chair), Swinburne University of Technology
• Jonathan Oliver, TrendMicro
• Ian Welch, Victoria University of Wellington
• Wanlei Zhou, Deakin University
• Lei Pan, Deakin University
• Islam Rafiqul, Charles Sturt University
• Ryan Ko, Waikato University
• Iqbal Gondal, Federation University
• Yang Xiang, Swinburne University of Technology
• Vijay Varadharajan, University of Newcastle
• Paul Black, Federation University
• Lili Diao, TrendMicro
• Chris Leckie, Melbourne University
• Matt Byrne, FireEye
• Goce Ristanoski, Data61
• Baichuan Zhang, Facebook

Organizing committee

• Jonathan Oliver (Chair), TrendMicro
• Jun Zhang, Swinburne University of Technology
• Ian Welch, Victoria University of Wellington
• Wanlei Zhou, Deakin University
• Islam Rafiqul, Charles Sturt University
• Ryan Ko, Waikato University
• Iqbal Gondal, Federation University
• Yang Xiang, Swinburne University of Technology
• Vijay Varadharajan, University of Newcastle

Publication

Papers for this workshop must conform to the PAKDD 2018 submission policy http://prada-research.net/pakdd18/index.php/submission-policy/. Page limit for this workshop --- 8 pages max. Accepted papers presented at the workshop will be submitted for inclusion to PAKDD 2018 proceedings.

Venue

The conference will be held in Melbourne.

Sponsors

Swinbure University of Technology, Trendmicro, Stratus, University of Waikato, NSCLab, Deakin University