Titlebook: Data Privacy Management, Cryptocurrencies and Blockchain Technology; ESORICS 2021 Interna Joaquin Garcia-Alfaro,Jose Luis Mu?oz-Tapia,Migue

Externalize

Community Quality-of-Life and Well-Being while protecting user privacy. However, existing location synthesizers do not consider friendship information of users. In particular, a co-location between friends is an important factor for synthesizing more realistic location traces..In this paper, we propose a novel location synthesizer that ge

Pituitary-Gland

Making Decisions About Indicatorser. In this paper, we created and applied a quantitative privacy evaluation rubric to evaluate 10 distinct categories from the combined privacy policies (PP) and terms of service (ToS) from 188 companies in order to test whether those documents actually give an indication to the consumer as to their

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Credence

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Sports Volunteering and Community Engagementprotection regulations, including the EU General Data Protection Regulation (GDPR) and the California Consumer Protection Act (CCPA), set out strict restrictions and obligations on the collection and processing of personal data. Moreover, machine learning models themselves can be used to derive pers

instructive

https://doi.org/10.1057/9780230339323tion. With this scheme, vehicles dynamically adjusts their periodic transmission of Cooperative Awareness Message (CAM) and Basic Safety Message (BSM) messages based on the observation of surroundings and transmit these messages only when it is necessary. This new scheme addresses the gap in standar

LANCE

Asha Bedar,Diane Bretherton,Anouk RideOur graph-based policies and engine support the masking of composite payloads and recursively handles nested payloads based on their type (e.g., json in xml). The engine supports a myriad of advanced masking methods such as format preserving encryption and format preserving tokenization, enabling on

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