Tracy Tam, Asha Rao, and Joanne Hall (RMIT)

COVID19 has made small businesses around the world rapidly adopt new online sales channels and tools. In this digital push for survival, the cybersecurity of the new systems has likely been forgotten. An existing global cybersecurity skills shortage means traditional individualised security assessments for these newly digital businesses are not practical. This paper proposes a web based self-assessment system (SE-CAP) to enable small business owners to conduct their own cybersecurity assessments. Designed with rapid deployability in mind, SE-CAP uses proven web based technologies to deliver a new solution to help small businesses become cyber-safe. The design of SE-CAP takes into account small business issues around record keeping, time constraints and poor technical literacy. The generic nature of the system allows SE-CAP’s host organisation to customise and extend the self-assessment system beyond its initial scope. Challenges with industry cybersecurity knowledge gaps prevent SE-CAP’s completeness. However, these gaps could be filled, in the interim, by the host organisation.

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FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Xiaoyu Cao (Duke University), Minghong Fang (The Ohio State University), Jia Liu (The Ohio State University), Neil Zhenqiang Gong (Duke University)

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C^2SR: Cybercrime Scene Reconstruction for Post-mortem Forensic Analysis

Yonghwi Kwon (University of Virginia), Weihang Wang (University at Buffalo, SUNY), Jinho Jung (Georgia Institute of Technology), Kyu Hyung Lee (University of Georgia), Roberto Perdisci (Georgia Institute of Technology and University of Georgia)

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Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers

Madura A. Shelton (University of Adelaide), Niels Samwel (Radboud University), Lejla Batina (Radboud University), Francesco Regazzoni (University of Amsterdam and ALaRI – USI), Markus Wagner (University of Adelaide), Yuval Yarom (University of Adelaide and Data61)

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