Beginning Oracle Database 11g Administration

2009 ◽  
Author(s):  
Iggy Fernandez
Keyword(s):  
Oracle Database

Migrating Oracle Database from Non-ASM to ASM Environments

2017 ◽  
pp. 279-321
Author(s):  
Y V Ravikumar ◽  
K M Krishnakumar ◽  
Nassyam Basha
Keyword(s):  
Oracle Database

Oracle Database Patching Strategies

2017 ◽  
pp. 503-545
Author(s):  
Y V Ravikumar ◽  
K M Krishnakumar ◽  
Nassyam Basha
Keyword(s):  
Oracle Database

Oracle Database 12c Performance Tuning Recipes

2013 ◽  
Author(s):  
Sam R. Alapati ◽  
Darl Kuhn ◽  
Bill Padfield
Keyword(s):  
Performance Tuning ◽  
Oracle Database

Detecting Advanced Persistent Threats in Oracle Databases

2017 ◽  
pp. 71-89
Author(s):  
Lynn Ray ◽  
Henry Felch
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Intrusion Detection ◽  
Enterprise Resource Planning ◽  
Detection System ◽  
Resource Planning ◽  
Database System ◽  
Sensitive Data ◽  
Oracle Database ◽  
Advanced Persistent Threats

Advanced persistent threats (APTs) have become a big problem for computer systems. Databases are vulnerable to these threats and can give attackers access to an organizations sensitive data. Oracle databases are at greater risk due to their heavy use as back-ends to corporate applications such as enterprise resource planning software. This chapter will describe a methodology for finding APTs hiding or operating deep within an Oracle database system. Using an understanding of Oracle normal operations provides a baseline to assist in discovering APT behavior. Incorporating these and other techniques such as database activity monitoring, machine learning, neural networks and honeypots/tokens can create a database intrusion detection system capable of finding these threats.

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