2020 IEEE 36th International Conference on Data Engineering (ICDE) 2020
DOI: 10.1109/icde48307.2020.00030
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An Anomaly Detection System for the Protection of Relational Database Systems against Data Leakage by Application Programs

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Cited by 13 publications
(3 citation statements)
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References 24 publications
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“…Fadolalkarim et al [Fadolalkarim et al 2020] apresentam o AD-PROM, um sistema de detecc ¸ão de anomalias que visa proteger bancos de dados relacionais contra agentes maliciosos. O AD-PROM rastreia as chamadas de sistema executadas pelos programas em execuc ¸ão no sistema computacional que hospeda o banco de dados a ser protegido.…”
Section: Trabalhos Relacionadosunclassified
“…Fadolalkarim et al [Fadolalkarim et al 2020] apresentam o AD-PROM, um sistema de detecc ¸ão de anomalias que visa proteger bancos de dados relacionais contra agentes maliciosos. O AD-PROM rastreia as chamadas de sistema executadas pelos programas em execuc ¸ão no sistema computacional que hospeda o banco de dados a ser protegido.…”
Section: Trabalhos Relacionadosunclassified
“…Techniques have been proposed for capturing database accesses by applications [8,12]. Such techniques could be extended for capturing network transaction activities.…”
Section: Capturing Communication Requirementsmentioning
confidence: 99%
“…With the assistance of proxy devices and edge servers [4], these data can be outsourced to edge storage for subsequent analysis and use. However, although data outsourcing based on edge computing reduces the storage and computing overhead on the user side, it also exposes the user's sensitive data to the risk of leakage [5]. How to protect the privacy of data stored on edge servers and share data with designated data consumers (such as service and product providers, medical professionals, and educators) has become the focus of research.…”
Section: Introductionmentioning
confidence: 99%