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We explore the feasibility of implementing anomaly based botnet detection on encrypted data to protect confidentiality of sensitive network data. We also provide experimental results on performance and storage of our SQL based implementation on network flow data. We analyze the workability of a secure encrypted database like CryptDB to build practical applications for intrusion detection use-cases.
We explore the feasibility of implementing port scan detection on encrypted data to protect confidentiality of sensitive network data. We experiment with four popular Port Scan detection algorithms namely Classic Version (and its Time Variant), Threshold Random Walk (TRW), Bayesian Logistic Regression (BLR). We also provide experimental results on performance and storage of our query based implementation...
We propose storage efficient SQL-aware encrypted databases that preserve the format of the fields. We give experimental results of storage improvements in CryptDB using FNR encryption scheme. We explore the feasibility of adopting Format Preserving Encryption for SQL-aware encrypted databases.
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