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2. The Detection Process<br />

If we had to summarize what we are trying to accomplish or what our project is about in a single<br />

phrase, it would be this: “Improve Detection Capability”<br />

In this section we will introduce the concepts related to network detection that will be developed<br />

throughout the document.<br />

Detectors<br />

We define a detector as any program capable of processing information in real time, usually low<br />

level information like traffic or system events, and capable of sending alerts when previously<br />

defined situations arise.<br />

These situations can be defined in either of two ways:<br />

1. By patterns, or rules defined by the user<br />

2. By anomaly levels<br />

Detection Capability<br />

Detection capabilities have improved enormously in recent years, the best example being IDSs,<br />

which are capable of detecting patterns at the most detailed level.<br />

In order to discuss the capability of a detector, we will define it using two variables:<br />

• Sensitivity or the capability our detector has for extensive and complex analysis in<br />

identifying possible attacks.<br />

• Reliability, which, as its name suggests, is the level of certainty provided by our detector<br />

when we receive warning of a possible event.<br />

Inadequate Detection<br />

Throughout this document we will see that despite advances in the scope of detection systems,<br />

their capabilities are still far from acceptable.<br />

Because of detector inadequacy in these two areas, we are confronted with the two main<br />

problems encountered today:<br />

• False positives. Detector unreliability or alerts that actually do not correspond to real<br />

attacks.<br />

• False negatives. Inadequate detection means that attacks go unnoticed.<br />

8

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