Searchable Encrypted Relational Databases: Risks and Countermeasures
| Autor: | Mohamed Ahmed Abdelraheem, Tobias Andersson, Christian Gehrmann |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Point (typography) Computer Sciences business.industry Relational database Computer science Privacy. SSE Database. Inference Attacks Inference Inference attack computer.software_genre Encryption 03 medical and health sciences Datavetenskap (datalogi) 030104 developmental biology 0302 clinical medicine Symmetric-key algorithm 030220 oncology & carcinogenesis Injection attacks Data mining business computer |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319678153 DPM/CBT@ESORICS Lecture Notes in Computer Science Lecture Notes in Computer Science-Data Privacy Management, Cryptocurrencies and Blockchain Technology |
| ISSN: | 0302-9743 1611-3349 |
| DOI: | 10.1007/978-3-319-67816-0_5 |
| Popis: | We point out the risks of protecting relational databases viaSearchable Symmetric Encryption (SSE) schemes by proposing an infer-ence attack exploiting the structural properties of relational databases.We show that record-injection attacks mounted on relational databaseshave worse consequences than their file-injection counterparts on un-structured databases. Moreover, we discuss some techniques to reducethe effectiveness of inference attacks exploiting the access pattern leak-age existing in SSE schemes. To the best of our knowledge, this is thefirst work that investigates the security of relational databases protectedby SSE schemes. Publication venue: the 12th Data Privacy and Management (DPM) workshop co-located with ESORICS 2017 PaaSword |
| Databáze: | OpenAIRE |
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