Detecting Intrusive Malicious Transactions in Database using Session and Token Management

Conference: International Conference on Computer Systems, Data Communication and Security
Author(s): Indu Singh, Tapasya Singh, Tanya Verma Year: 2015
Grenze ID: 02.CDCS.2015.1.506 Page: 16-24

Abstract

With the advent growth of organizational expectations, the new ability of security systems is revolutionised to secure confidentiality and integrity of the system interface. Unauthorised access of database can result in significant losses for organizations and individuals. With the increased number of attacks, intrusion detection has become vital part of information security. The database intrusion detection model and algorithm proposed in this paper analyses user access patterns using three phases. Learning phase provides security access levels for users to generate valid profile in profile generating phase via session and token manager. In the last phase, valid transactions are committed and an alert is generated for malicious transactions. We have implemented our proposed architecture along with transaction level approach for the detection of malicious transaction incorporating CBF.

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CDCS - 2015