Title: A survey on database intrusion detection: approaches, challenges and application

Authors: Rajni Jindal; Indu Singh

Addresses: Department of Computer Science and Engineering, Delhi Technological University, Delhi, India ' Department of Computer Science and Engineering, Delhi Technological University, Delhi, India

Abstract: Databases store vital information of an organisation and are therefore integral for its efficient working. This necessitates the establishment of database intrusion detection systems (DIDSs) which can detect and prevent unauthorised user access to the critical information stored in database. A lot of work has been done in the field of DIDSs which has grown at a very rapid pace. A large number of publications emerging every year to further improve upon the existing state of the art solutions. This paper investigates research on major approaches proposed in the field of database intrusion detection and analyses the drawbacks of the proposed methods in order to drive future research towards more efficient and effective DIDSs. A systematic survey is conducted in order to classify various approaches for detecting intrusion in databases. The work identifies open research questions and challenges, by methodically comparing existing strategies to combat malicious transactions in a database system, and also provides an insight to the applications of DIDSs.

Keywords: database security; database intrusion detection; insider attack; role-based access control; data dependency mining.

DOI: 10.1504/IJIEI.2019.104565

International Journal of Intelligent Engineering Informatics, 2019 Vol.7 No.6, pp.559 - 592

Received: 25 Mar 2019
Accepted: 05 Jul 2019
Published online: 20 Jan 2020 *

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