Enhancing detection rate in database intrusion detection system

Author

Rao, Udai Pratap ; Singh, Neeraj Kumar ; Amin, Akash R. ; Sahu, Kushal

Author_Institution

Dept. of Comput. Eng., Sardar Vallabhbhai Nat. Inst. of Technol., Surat, India

fYear

2014

fDate

27-29 Aug. 2014

Firstpage

556

Lastpage

563

Abstract

Protecting the database from malicious insider is the major challenge for the organizations now-a-days. The organizations are eager to adopt the advanced security solutions to prevent the theft of data. Most of the existing database IDS (intrusion detection system) apply high profile matching constraint. Due to this there is probability of high false positive rate. In this paper we propose a novel database IDS which reduces the false positive and false negative rates. This approach provides flexibility in profile matching constraint.

Keywords

data protection; database management systems; security of data; advanced security solutions; database IDS; database intrusion detection system; database protection; detection rate enhancement; high false positive rate probability; high profile matching constraint; malicious insider; Data mining; Databases; Feature extraction; Intrusion detection; Organizations; Pattern matching; Audit Log; DBMS; Database Security; Intrusion Detection System; Transaction Profile;

fLanguage

English

Publisher

ieee

Conference_Titel

Science and Information Conference (SAI), 2014

Conference_Location

London

Print_ISBN

978-0-9893-1933-1

Type

conf

DOI

10.1109/SAI.2014.6918241

Filename

6918241