Frank Pallas, Katharina Koerner, Isabel Barberá, Jaap-Henk Hoepman, Meiko Jensen, Nandita Rao Narla, Nikita Samarin, Max-R. Ulbricht, Isabel Wagner, Kim Wuyts, Christian Zimmermann
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引用次数: 0
Abstract
Privacy engineering is gaining momentum in industry and academia alike. So far, manifold low-level primitives and higher-level methods and strategies have successfully been established. Still, fostering adoption in real-world information systems calls for additional aspects to be consciously considered in research and practice.
期刊介绍:
IEEE Security & Privacy’s primary objective is to stimulate and track advances in security, privacy, and dependability and present these advances in a form that can be useful to a broad cross-section of the professional community—ranging from academic researchers to industry practitioners. It provides articles with both a practical and research bent by the top thinkers in the field of security and privacy, along with case studies, surveys, tutorials, columns, and in-depth interviews and podcasts for the information security industry.
Through special issues, the magazine explores other timely aspects of privacy in areas such as usable security, the Internet of Things, cloud computing, cryptography, and big data. Other popular topics include software, hardware, network, and systems security, privacy-enhancing technologies, data analytics for security and privacy, wireless/mobile and embedded security, security foundations, security economics, privacy policies, integrated design methods, sociotechnical aspects, and critical infrastructure. In addition, the magazine accepts peer-reviewed articles of wide interest under a general call, and also features regular columns on hot topics and interviews with luminaries in the field.