CREST Summer Scholarships

Data Mining and Machine Learning for Cybersecurity (DMC) workshop will be held in conjunction with The 2021 IEEE International Conference on Data Mining (ICDM2021, https://icdm2021.auckland.ac.nz/) on December 7-10, 2021.

DMC is jointly held with the DL-CTI workshop (https://www.dl-cti.org/). DMC workshop is a full-day event that includes three speakers. The workshop will be held on December 7, 2021.

The workshop aims to bring together researchers from cybersecurity, data mining, and machine learning domains. We encourage a lively exchange of ideas and perceptions through the workshop, focused on cybersecurity and data mining. Topics of interest include, but are not limited to:

1. Data mining and AI applications for cybersecurity

2. Data-driven cybersecurity innovation

3. Modelling and simulation of cyber systems and system components

4. Data mining approaches to make cyber systems secure and resilient

5. Human behaviour models with application to cybersecurity

6. AI tools and techniques, mental resilience, and cybersecurity

7. Data mining for cybersecurity software verification and validation

8. Automation of heterogeneous security tools

9. Decision making with uncertainty in cyber systems

10. Security and privacy

We are interested in the new applications of data mining and AI for cybersecurity. Submitted papers will be evaluated based on criteria such as technical originality, creativity, and applicability.

Methodological topics of interest include, but are not limited to:

1. Graph convolution networks and graph attention networks
2. Interpretable deep learning
3. Real-time and/or streaming deep learning
4. Multi-view deep learning paradigms
5. Deep adversarial learning (e.g., generative adversarial networks)
6. Deep transfer learning
7. Deep Bayesian learning
8. Deep reinforcement learning

Application areas of interest include, but are not limited to:

1. Malware evasion and detection
2. IP reputation services
3. Event correlation and anomaly detection
4. Internet of Things (IoT) analysis (e.g., fingerprinting, network telescopes, etc.)
5. Threat modeling (e.g., mapping exploits to MITRE ATT&CK)
6. Security data fusion (e.g., event correlation) across multiple data sources
7. Cybersecurity information sharing and automation
8. Smart and large-scale vulnerability assessment and management systems
9. Security Intelligence Augmentation (e.g., human-in-the-loop systems)
10. Dark Web Analytics for CTI applications

Paper submissions should be limited to max 8 pages plus 2 extra pages and follow the IEEE ICDM format. More detailed information is available in the IEEE ICDM 2021 Submission Guidelines (https://www.ieee.org/conferences/publishing/templates.html).

Please submit your manuscript through the DMC 2021 submission site.

All accepted workshop papers will be published in the dedicated ICDMW proceedings published by the IEEE Computer Society Press. Therefore, papers must not have been accepted for publication elsewhere or be under review for another workshop, conferences, or journals.

Workshop Organiser

Muhammad Ali Babar, The University of Adelaide, Australia

Gillian Dobbie, The University of Auckland, New Zealand

Hsinchun Chen, University of Arizona

Sagar Samtani, Indiana University

Zahid Islam, Charles Sturt University, Australia

Reza Shahamiri, The University of Auckland, New Zealand

Ranran Bian, The University of Adelaide, Australia

Victor Benjamin, Arizona State University

Weifeng Li, University of Georgia

Program Committee

Muhammad Ali Babar, The University of Adelaide, Australia

Gillian Dobbie, The University of Auckland, New Zealand

Ankit Shah, University of South Florida

Hongyi Zhu, University of Texas, San Antonio

Nasir Ghani, University of South Florida

Hyrum Anderson, Microsoft

Zahid Islam, Charles Sturt University, Australia

Reza Shahamiri, The University of Auckland, New Zealand

Ranran Bian, The University of Adelaide, Australia

Ethan Rudd, FireEye

Balaji Padmanabhan, University of South Florida

Elias Bou-Harb, University of Texas, San Antonio

Yunji Liang, Northwestern Polytechnical University

Yidong Chai, Tsinghua University

Shuo Yu, Texas Tech University

Reza Ebrahimi, University of Arizona

Michael Bewong, Charles Sturt University, Australia

Rafiqul Islam, Charles Sturt University, Australia