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.

View More Papers

All the Numbers are US: Large-scale Abuse of Contact...

Christoph Hagen (University of Würzburg), Christian Weinert (TU Darmstadt), Christoph Sendner (University of Würzburg), Alexandra Dmitrienko (University of Würzburg), Thomas Schneider (TU Darmstadt)

Read More

Practical Blind Membership Inference Attack via Differential Comparisons

Bo Hui (The Johns Hopkins University), Yuchen Yang (The Johns Hopkins University), Haolin Yuan (The Johns Hopkins University), Philippe Burlina (The Johns Hopkins University Applied Physics Laboratory), Neil Zhenqiang Gong (Duke University), Yinzhi Cao (The Johns Hopkins University)

Read More

Sn4ke: Practical Mutation Analysis of Tests at Binary Level

Mohsen Ahmadi (Arizona State University), Pantea Kiaei (Worcester Polytechnic Institute), Navid Emamdoost (University of Minnesota)

Read More

MINOS: A Lightweight Real-Time Cryptojacking Detection System

Faraz Naseem (Florida International University), Ahmet Aris (Florida International University), Leonardo Babun (Florida International University), Ege Tekiner (Florida International University), A. Selcuk Uluagac (Florida International University)

Read More