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

Autor:	M. Somasundara Rao, M. H. M. Krishna Prasad, Koduganti Venkata Rao
Rok vydání:	2021
Předmět:	Scheme (programming language) Artificial Intelligence Control and Systems Engineering Computer science Real-time computing Tracking (particle physics) computer Software computer.programming_language
Zdroj:	International Journal of Knowledge-based and Intelligent Engineering Systems. 25:323-333
ISSN:	1875-8827 1327-2314
DOI:	10.3233/kes-210075
Popis:	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.
Databáze:	OpenAIRE
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