Base lining refers to a metrics system in which the present performance of the organization is compared with historical metric or “baseline”. Baseline represents the organization’s performance in terms of schedule, effort involved and the defects.
Spend any amount of time looking into the latest developments in cybersecurity, and you’ll probably hear claims of security systems that establish a “baseline” of your network’s activity to better monitor it. Some industry leaders even claim to do it.
What is a real network baseline? How does it work? And, why is it vital to stopping zero-day attacks? These questions can help you choose the right security provider, by properly vetting their system for true baseline development through Unsupervised Learning, not just empty words touting Artificial Intelligence-enabled monitoring.
When we say baseline, we mean the day-to-day normal behavior of your network that is used to predict what your network should look like in 5 minutes, hours, or days so that any IP’s that behave anomalously on it can be flagged.
The Base lining method can be used in the following scenarios
- Start of the project: For estimating the project effort and for planning reviews and testing.
- During the project: To determine whether a corrective measure is required.
- End of the project: To identify if the project was doing something good which should be institutionalized, and to identify whether the project was missing something which should be done on a similar project in future.
Usually there are three general steps in developing a baseline which are –
- Identifying the sources of baseline data
- Collecting the data
- Analyzing the data
Baselining is a method for analyzing computer network performance. The method is marked by comparing current performance to a historical metric, or “baseline”. If the performance of a network switch or other network components is measured over a period of time, that performance figure can be used as a comparative baseline for configuration changes.
Baselining is useful for many performance management tasks, including:
- Monitoring daily network performance
- Measuring trends in network performance
- Assessing whether network performance is meeting requirements laid out in a service agreement
