Feasibility Study of Port Scan Detection on Encrypted Data

被引：0

作者：

Chandrashekar, Prakruti ^{[1
]}

Dara, Sashank ^{[2
]}

Muralidhara, V. N. ^{[1
]}

机构：

[1] IIIT Bangalore, Bangalore, Karnataka, India

[2] IIIT Bangalore, Cisco Syst India Pvt Ltd, Bangalore, Karnataka, India

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING IN EMERGING MARKETS (CCEM) | 2016年

关键词：

Port scan; CryptDB; computational privacy; block ciphers; TRW; BLR;

D O I：

10.1109/CCEM.2015.18

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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 on network flow data. Our key observation is that for complex operations on encrypted data Onion-layered encryption system like CryptDB does not scale well.

引用

页码：109 / 112

页数：4

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