Gokul Jayakrishnan, Vijayanand Banahatti, Sachin Lodha (TCS Research Tata Consultancy Services Ltd.)

The pandemic changed the global enterprise working model. Work from home became the norm and so did the associated security risks. The new workspace posed new dangers such as insecure network and lack of organizational supervisions at home. Failing to adhere to strict security practices in the comfort of home could result in the leakage of confidential information. So, employees’ security awareness plays a major role in this new setting. In this paper, we present ‘Secure Workspace’, a serious game set in a simulated home workspace, that we used to gauge the awareness levels of enterprise employees on secure practices. Our game was well received and played by over 36,000 participants. Based on the participants’ performance, we present insights on their awareness, and an advisory to help reduce the number of security violations while working from home.

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Lightning Community Shout-Outs to:

(1) Jonathan Petit, Secure ML Performance Benchmark (Qualcomm) (2) David Balenson, The Road to Future Automotive Research Datasets: PIVOT Project and Community Workshop (USC Information Sciences Institute) (3) Jeremy Daily, CyberX Challenge Events (Colorado State University) (4) Mert D. Pesé, DETROIT: Data Collection, Translation and Sharing for Rapid Vehicular App Development (Clemson University) (5) Ning…

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Firefly: Spoofing Earth Observation Satellite Data through Radio Overshadowing

Edd Salkield, Sebastian Köhler, Simon Birnbach, Richard Baker (University of Oxford). Martin Strohmeier (armasuisse S+T), Ivan Martinovic (University of Oxford) Presenter: Edd Salkield

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RR: A Fault Model for Efficient TEE Replication

Baltasar Dinis (Instituto Superior Técnico (IST-ULisboa) / INESC-ID / MPI-SWS), Peter Druschel (MPI-SWS), Rodrigo Rodrigues (Instituto Superior Técnico (IST-ULisboa) / INESC-ID)

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