Carl Magnus Bruhner (Linkoping University), David Hasselquist (Linkoping University, Sectra Communications), Niklas Carlsson (Linkoping University)

In the age of the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), privacy and consent control have become even more apparent for every-day web users. Privacy banners in all shapes and sizes ask for permission through more or less challenging designs and make privacy control more of a struggle than they help users’ privacy. In this paper, we present a novel solution expanding the Advanced Data Protection Control (ADPC) mechanism to bridge current gaps in user data and privacy control. Our solution moves the consent control to the browser interface to give users a seamless and hassle-free experience, while at the same time offering content providers a way to be legally compliant with legislation. Through an extensive review, we evaluate previous works and identify current gaps in user data control. We then present a blueprint for future implementation and suggest features to support privacy control online for users globally. Given browser support, the solution provides a tangible path to effectively achieve legally compliant privacy and consent control in a user-oriented manner that could allow them to again browse the web seamlessly.

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DARWIN: Survival of the Fittest Fuzzing Mutators

Patrick Jauernig (Technical University of Darmstadt), Domagoj Jakobovic (University of Zagreb, Croatia), Stjepan Picek (Radboud University and TU Delft), Emmanuel Stapf (Technical University of Darmstadt), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

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Access Your Tesla without Your Awareness: Compromising Keyless Entry...

Xinyi Xie (Shanghai Fudan Microelectronics Group Co., Ltd.), Kun Jiang (Shanghai Fudan Microelectronics Group Co., Ltd.), Rui Dai (Shanghai Fudan Microelectronics Group Co., Ltd.), Jun Lu (Shanghai Fudan Microelectronics Group Co., Ltd.), Lihui Wang (Shanghai Fudan Microelectronics Group Co., Ltd.), Qing Li (State Key Laboratory of ASIC & System, Fudan University), Jun Yu (State Key…

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POSE: Practical Off-chain Smart Contract Execution

Tommaso Frassetto (Technical University of Darmstadt), Patrick Jauernig (Technical University of Darmstadt), David Koisser (Technical University of Darmstadt), David Kretzler (Technical University of Darmstadt), Benjamin Schlosser (Technical University of Darmstadt), Sebastian Faust (Technical University of Darmstadt), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

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PISE: Protocol Inference using Symbolic Execution and Automata Learning

Ron Marcovich, Orna Grumberg, Gabi Nakibly (Technion, Israel Institute of Technology)

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