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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SODA: A Generic Online Detection Framework for Smart Contracts

Ting Chen (University of Electronic Science and Technology of China), Rong Cao (University of Electronic Science and Technology of China), Ting Li (University of Electronic Science and Technology of China), Xiapu Luo (The Hong Kong Polytechnic University), Guofei Gu (Texas A&M University), Yufei Zhang (University of Electronic Science and Technology of China), Zhou Liao (University…

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Understanding the Growth and Security Considerations of ECS

Athanasios Kountouras (Georgia Institute of Technology), Panagiotis Kintis (Georgia Institute of Technology), Athanasios Avgetidis (Georgia Institute of Technology), Thomas Papastergiou (Georgia Institute of Technology), Charles Lever (Georgia Institute of Technology), Michalis Polychronakis (Stony Brook University), Manos Antonakakis (Georgia Institute of Technology)

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RandRunner: Distributed Randomness from Trapdoor VDFs with Strong Uniqueness

Philipp Schindler (SBA Research), Aljosha Judmayer (SBA Research), Markus Hittmeir (SBA Research), Nicholas Stifter (SBA Research, TU Wien), Edgar Weippl (Universität Wien)

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Demo #10: Security of Deep Learning based Automated Lane...

Takami Sato, Junjie Shen, Ningfei Wang (UC Irvine), Yunhan Jia (ByteDance), Xue Lin (Northeastern University), and Qi Alfred Chen (UC Irvine)

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