@inproceedings{8911eefd7b754d6c912cc193c26d8462,
title = "Ettu: Analyzing Query Intents in Corporate Databases",
abstract = "Insider threats to databases in the financial sector have become a very serious and pervasive security problem. This paper proposes a framework to analyze access patterns to databases by clustering SQL queries issued to the database. Our system Ettu works by grouping queries with other similarly structured queries. The small number of intent groups that result can then be efficiently labeled by human operators. We show how our system is designed and how the components of the system work. Our preliminary results show that our system accurately models user intent.",
keywords = "clustering, databases, insider threats",
author = "Gokhan Kul and Duc Luong and Ting Xie and Patrick Coonan and Varun Chandola and Oliver Kennedy and Shambhu Upadhyaya",
note = "Publisher Copyright: {\textcopyright} 2016 International World Wide Web Conference Committee (IW3C2).; 25th International Conference on World Wide Web, WWW 2016 ; Conference date: 11-05-2016 Through 15-05-2016",
year = "2016",
month = apr,
day = "11",
doi = "10.1145/2872518.2888608",
language = "English",
series = "WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web",
publisher = "Association for Computing Machinery, Inc",
pages = "463--466",
booktitle = "WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web",
}