Which process is used when IPS events are removed to improve data integrity?
Which process is used when IPS events are removed to improve data integrity?
Data normalization is the process of organizing data to reduce redundancy and improve data integrity by ensuring that each piece of data is stored in a consistent and standardized manner. In the context of IPS (Intrusion Prevention System) events, normalization involves removing duplicate or inconsistent data, which helps maintain the accuracy and reliability of the data. This process ensures that the data can be easily analyzed and used effectively for security and forensic purposes.
See also: https://cyberhoot.com/cybrary/data-normalization/ By using data normalization duplicate data is removed and the overal memory/storage impact is reduced. This will make the data actionable. It's debatable if it really helps with the integrity of the data, but you could argue by removing the duplicates the data can be matched better with timestamps from other data sources in a forensic investigation. So answer B is correct
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"B" is correct Data normalization is the process of capturing, storing, and analyzing data (security-related events, in this case) so that it exists in only one form. One of the main goals of data normalization is to purge redundant data while maintaining data integrity. The normalized data is protected by making sure that any manifestation of the same data elsewhere is only making a reference to the data that is being stored. Intrusion prevention systems (IPSs) focus on throughput for the most rapid and optimal inline performance. While doing so, in most cases, it is impossible for full normalization to take place. Traditional IPS devices often rely on shortcuts that only implement partial normalization and partial inspection. However, this increases the risk of evasions. Fragmentation handling is an example of such an evasion. Cisco CyberOps Associate CBROPS 200-201 Official Cert Guide By Omar Santos
data normalization
B. data normalization Explanation: Data normalization is the process used when IPS (Intrusion Prevention System) events are removed to improve data integrity. This process ensures that the data remains consistent and standardized, enhancing its reliability and usefulness for analysis and reporting purposes. https://bitly.cx/nkz I recently passed the Cisco 200-201 exam with flying colors, securing my certification in CyberOps Associate. This achievement marks a significant milestone in my career as I aim to specialize in cybersecurity.
B. data normalization
B. Data normalization
B. data normalization
The correct answer is B. Data normalization. Data normalization is the process of organizing data in a database so that it is consistent and easily manageable. In the context of IPS events, data normalization refers to the process of removing redundant or unnecessary data to improve data integrity. By removing duplicates or inconsistent data, it ensures that the data stored is accurate and up-to-date. The other options are incorrect because they do not accurately describe the process of removing IPS events to improve data integrity: A. Data availability refers to the ability to access and retrieve data when it is needed. C. Data signature refers to a unique identifier that is attached to data to verify its authenticity and integrity. D. Data protection refers to the measures taken to secure and protect data from unauthorized access or loss. So, the correct answer is B. Data normalization.
Data Normalization is correct B
B is correct Intrusion prevention systems (IPSs) focus on throughput for the most rapid and optimal inline performance. While doing so, in most cases, it is impossible for full normalization to take place. Traditional IPS devices often rely on shortcuts that only implement partial normalization and partial inspection
B IS CORRECT