The 5th International Conference on Science of Cyber Security (SciSec 2023) will be held 11-14 July, 2023 in Melbourne, Australia. The conference is organized by the RMIT University. This new forum was initiated in 2018 and aims to catalyze the research collaborations between the relevant communities and disciplines that can work together to deepen our understanding of, and build a firm foundation for, the emerging Science of Cyber Security. Publications in this venue would distinguish themselves from others by taking or thinking from a holistic perspective about cyber security, rather than a building-block perspective. Each submission will be reviewed by at least 3 reviewers. The program committee plans to select and award a Best Paper and a Best Student Paper. The post-conference proceedings will be published in Springer’s Lecture Notes in Computer Science (LNCS) series, indexed by EI and IIE-C.

New to SciSec 2023: There will have a poster session. The submission should be no more than two pages. Accepted posters will not appear in the post-conference proceedings, but will be invited to submit full version papers to International Journal of Digital Crime and Forensics (IJDCF, indexed by ESCI and EI). At least one author of a poster must register to attend the conference.

Attention: The health and safety of all participants is our top priority. The organizing committee will focus on current COVID-19 situation and would change the conference to virtual one or hybrid off-line and on-line one if the environment was not good enough for our participant to be physically present. Authors will enjoy online registration fee. All registered full papers will be published as scheduled.

The conference solicits high-quality, original research papers that can justifiably help achieve the ultimate Science of Cyber Security. Topics of interest include, but are not limited to:

Cybersecurity Dynamics
Cybersecurity Metrics and Their Measurements
First-principle Cybersecurity Modeling and Analysis (e.g., Dynamical Systems, Control-Theoretic, and Game-Theoretic Modeling)
Cybersecurity Data Analytics
Quantitative Risk Management for Cybersecurity
Big Data for Cybersecurity
Artificial Intelligence for Cybersecurity
Machine Learning for Cybersecurity
Economics Approaches for Cybersecurity
Social Sciences Approaches for Cybersecurity
Statistical Physics Approaches for Cybersecurity
Complexity Sciences Approaches for Cybersecurity
Experimental Cybersecurity
Macroscopic Cybersecurity
Statistics Approaches for Cybersecurity
Human Factors for Cybersecurity
Compositional Security
Biology-inspired Approaches for Cybersecurity
Synergetics Approaches for Cybersecurity
It is stressed that it is the authors’ responsibility to explicitly justify the relevance of a submission to cyber security and how a submission is contributing to the Science of Cyber Security.