QIPCEI2K18

MARKOV DECISION POLICY BASED DATABASE SECURITY (20150561)

DOI :
Authors :
Abstracts : An advanced database security system using Markov based policy is proposed. In large databases in this work, along with it’s a difficult task to keep the data up to date where huge data of dynamic nature occurs. In e-commerce sites, large data lands up and the database might not get updated. This causes staleness in data and also, if the database undergoes updation, it might not be available for access during that time. Sometimes, updation is not possible without human intervention, hence Markov based policy is used which would perform fixed interval updates effectively and lead to cost savings. In addition to updation, this policy can be used for the security of the system;the proposed system has a middleware that will restore the database using the Markov updation policy in case of attack. The middleware will process the changes in the data and display the details of the attacker and also the changes done by the attacker. Thus, this database system can also be secured using the Markov policy and this three layered security framework
Pages : 22-24
Downloads : 80
Publication Date :
Modified Date : 2018-04-29
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Prof. Reshma Totare , Vishakha Swamy , Anjali Singh TejaswiniYadav , "MARKOV DECISION POLICY BASED DATABASE SECURITY", JournalNX - A Multidisciplinary Peer Reviewed Journal, QIPCEI2K18, ISSN : 2581-4230, Page No. 22-24
Peer reviewed