CPU runtime optimization in data damage tracking quarantine and recovery (DTQR) scheme based on customized ANN

Author:

Somasundara Rao M.1,Venkata Rao Koduganti2,Krishna Prasad M.H.M.3

Affiliation:

1. Department of CSE, JNTUK, Kakinada and Vignan’s Institute of Information Technology (A), Andhra Pradesh, India

2. Department of Computer Science and Engineering, Vignan’s Institute of Information Technology (A), Andhra Pradesh, India

3. Department of Computer Science and Engineering, JNTUK, Kakinada, Andhra Pradesh, India

Abstract

Database Management Systems (DBMS) are regularly used to store and process touchy endeavour information. In any case, it is beyond the realm of imagination to expect to verify the information by depending on the entrance control and security instruments of such frameworks alone; clients may handle their benefits or go around security systems to malevolently adjust and get to the information. Hence, we have developed a reliable, secure, and real-time data damage tracking Quarantine and recovery scheme using Customized ANN approach. The proposed DTQR scheme recovers the accurate data from any newer data and eliminates the fraudulent data. The approach also provides a solution for runtime problems occurring in the DBMS. Moreover, the proposed technique implemented in the working platform of JAVA and the results are analyzed with existing techniques to prove the efficiency of the proposed system.

Publisher

IOS Press

Subject

Artificial Intelligence,Control and Systems Engineering,Software

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