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Lindsey Panetta, lindsey.panetta@gtri.gatech.edu
Summary Sentence: Ph.D. Student Tianxin Tang presents a method for limiting de-encryption of protected databases.
Full Summary: No summary paragraph submitted.
Cybersecurity Lecture SeriesThe Cybersecurity Lecture Series is a free, open-to-the-public lecture from a thought leader who is advancing the field of information security and privacy. Invited speakers include executives and researchers from private companies, government agencies, start-up incubators as well as Georgia Tech faculty and students presenting their research.
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ABSTRACT | Key management is always problematic in terms of privacy for remotely stored data in a de-centralized environment. To alleviate this issue, we propose a concept called "keyless fuzzy search," where users can query an encrypted database, retrieve its parts and decrypt only some information "close to" the encrypted data. While strong security in such a keyless setting is impossible to achieve, our approach prohibits remote encrypted data from easily being massively harvested or mined, because guessing the right queries can be costly for attackers if the data has some entropy.
BIO | Tianxin Tang is a second-year Ph.D. student in the School of Computer Science. Her research interest lies in cryptography, more specifically in provable security. Her current projects are related to searchable encryption.
