Having normalizers work on your critical cybersecurity data can help make the data more actionable where it might not otherwise be possible. Doing so makes that data actionable for decision making beyond the disparate unrelated data points.Īdditional Reading: The Grey Morality of Stolen Dataĭata normalization plays a significant role in the security of some SMB networks. Normalization attempts to make this flood of data processable, to enable businesses to tease out intelligence from the aggregated data. As separate events, you do not have such clarity. Pulled together in this way, and you have a clear breach on your hands. The new user account was used to download the file from a protected human resources folder on your server. That successful login account was responsible, within 20 minutes, for the new account creation. The successful login occurred after 1000 failed logins on the privileged account. Namely that the failed logins were for a privileged account. However, if normalized into an Intrusion Detection Service (IDS) database, you may be able to link a few things together. Separately, these are everyday activities. Multiple failed logins followed by a successful login.Take these events for example separately: In a Cybersecurity sense, a normalized intrusion detection database might identify a breach by enabling multiple disparate events (data) to be normalized into a single database that is searchable with a variety of automated scrips to create a clear picture of a potential breach. How is Cybersecurity and Data Normalization Related? There are 2nd and even 3rd normal forms with other criteria applied. Identify each set of related data with a primary key.Create a separate table for each set of related data.Eliminate repeating groups in individual tables.First Normal Form allows a database to normalize its data in the following three ways: The most basic is known as First Normal Form, which is often abbreviated 1NF. The complexity is due to the set of requirements that must be met to achieve normalization. Varying forms of normalization exist on levels of increasing complexity. These databases are often run by “normalizers” routines which edit and “normalize” incoming data streams to allow the data to be indexed, searchable, and easily analyzed. Normalization is beneficial in databases to reduce the amount of memory taken up and improve performance of the database. Data Normalization is a process of reorganizing information in a database to meet two requirements: data is only stored in one place (reducing the data) and all related data items are sorted together.
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