A first multivocal literature review finds academia modifies IoT to meet Zero Trust rules while industry integrates IoT into existing NIST-guided Zero Trust frameworks, exposing gaps in socio-technical and cost-benefit analysis.
2020.NIST Privacy Framework: A Tool for Improving Privacy through Enterprise Risk Management
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PrivacyAkinator uses LLM-generated questions grounded in data-flow representations and a news-mined design space to help developers surface privacy decisions, yielding 47% more decisions identified in 73% less time than PRAM in a 24-person study.
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Converging Zero Trust and IoT Security: A Multivocal Literature Review
A first multivocal literature review finds academia modifies IoT to meet Zero Trust rules while industry integrates IoT into existing NIST-guided Zero Trust frameworks, exposing gaps in socio-technical and cost-benefit analysis.
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PrivacyAkinator: Articulating Key Privacy Design Decisions by Answering LLM-Generated Multiple-choice Questions
PrivacyAkinator uses LLM-generated questions grounded in data-flow representations and a news-mined design space to help developers surface privacy decisions, yielding 47% more decisions identified in 73% less time than PRAM in a 24-person study.