Hunting the Unknown
| Autor: | Constante, Elisa, den Hartog, Jeremy, Petkovic, M., Etalle, Sandro, Pechenizkiy, Mykola |
|---|---|
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | 28th Annual IFIP WG 11.3 Working ConferenceData and Applications Security and Privacy (DBSec), 243-259 STARTPAGE=243;ENDPAGE=259;TITLE=28th Annual IFIP WG 11.3 Working ConferenceData and Applications Security and Privacy (DBSec) |
| Popis: | Data leakage causes significant losses and privacy breaches worldwide. In this paper we present a white-box data leakage detection system to spot anomalies in database transactions. We argue that our approach represents a major leap forward w.r.t. previous work because: i) it significantly decreases the False Positive Rate (FPR) while keeping the Detection Rate (DR) high; on our experimental dataset, consisting of millions of real enterprise transactions, we measure a FPR that is orders of magnitude lower than in state-of-the-art comparable approaches; and ii) the white-box approach allows the creation of self-explanatory and easy to update profiles able to explain why a given query is anomalous, which further boosts the practical applicability of the system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|