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个人简介
Her research interests are in the broad area of cybersecurity, privacy, and trust. Her research projects aim at creating technologies enabling efficient and effective data sharing without sacrificing privacy or security. She has done extensive research in a variety of application domains, ranging from social networks, to relational and NoSql databases, cloud and service computing, workflow management systems, emergency management, and Iot ecosystems. Current research includes security and privacy for Big Data and Iot, access control, machine learning for cybersecurity, risk analysis, blockchain, and secure social media. Prof. Ferrari has published several books and more than 270 papers in international journals and conference proceedings. She has received several awards, including the 2009 IEEE Technical Achievement Award for pioneering contributions to Secure Data Management, the ACM CODASPY Research Award for lasting and innovative research contributions to the cybersecurity and privacy fields (2019), the ACM SACMAT 10 Year Test of Time Award (2019), an IBM Faculty Award (2014), and a Google Research Award (2010). She was elected an ACM Distinguished Scientist in 2011 and became an IEEE Fellow in 2012 for her research contribution to security and privacy for data and applications. In 2019, she has been named ACM fellow for contributions to security and privacy of data and social network systems,
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EDGEpp.72-78, (2023)
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Zenodo (CERN European Organization for Nuclear Research) (2023)
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EDBT/ICDT Workshops (2023)
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Computer Networks (2023): 109853-109853
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International Conference on Trust, Privacy and Security in Intelligent Systems and Applicationspp.xi-xi, (2023)
TPS-ISApp.1-9, (2022)
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