@inproceedings{dd05af44cca04ca1a556c1e6a7591edb,
title = "A framework for insider collusion threat prediction and mitigation in relational databases",
abstract = "This paper proposes a framework for predicting and mitigating insider collusion threat in relational database systems. The proposed model provides a robust technique for database architect and administrators to predict insider collusion threat when designing database schema or when granting privileges. Moreover, it proposes a real time monitoring technique that monitors the growing knowledgebases of insiders while executing transactions and the possible collusion insider attacks that may be launched based on insiders accesses and inferences. Furthermore, the paper proposes a mitigating technique based on the segregation of duties principle and the discovered collusion insider threat to mitigate the problem. The proposed model was tested to show its usefulness and applicability.",
keywords = "Collusion Threat, Data Dependencies, Information Security, Insider Threat, Knowledgebase, Relational Database",
author = "Qussai Yaseen and Aman Alabdulrazzaq and Firas Albalas",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2019 ; Conference date: 07-01-2019 Through 09-01-2019",
year = "2019",
month = mar,
day = "12",
doi = "10.1109/CCWC.2019.8666582",
language = "English",
series = "2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "721--727",
editor = "Satyajit Chakrabarti and Saha, \{Himadri Nath\}",
booktitle = "2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019",
address = "United States",
}