Implementation of Database intrusion Detection

Name: Implementation of Database intrusion Detection
Brand: LAP Lambert Academic Publishing
SKU: 9783330079014
Price: 31.01 EUR
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Autor: Jay Kant Pratap Singh Yadav

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP Lambert Academic Publishing

Dostupnosť: Skladom u dodávateľa

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31.01 €

Here, we propose data mining approach for database intrusion detection. In each database, there are...

Informácie o knihe

Autor

Jay Kant Pratap Singh Yadav

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2017

Stránok

EAN

9783330079014

ISBN

3330079010

Enbook ID

16367516

Vydavateľ

LAP Lambert Academic Publishing

Hmotnosť

112

Rozmery

150 x 220 x 4

Kompletný popis

Here, we propose data mining approach for database intrusion detection. In each database, there are a few attributes or columns that are more important or sensitive to be tracked or sensed for malicious modifications as compared to the other attributes. Our approach concentrates on mining pre-write as well as post-write data dependencies among the important or sensitive data items in relational database. By data dependency we refer to the data access correlations between two or more data items. These dependencies are generated in the form of association rules i.e. before one data item is updated in the data base what other data items probably need to be read or write and after this data item is updated what other data items are most likely to be updated by the same transaction. Any transaction that does not follow these dependency rules are identified as malicious. We also suggest removal of redundant rules in our proposed algorithm to minimize the number of comparisons during detection phase. We compare our proposed approach with existing approach on various performance evaluation metrics and analyze the results

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Implementation of Database intrusion Detection

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