From the course: Data-Driven Network Security Essentials
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Machine learning to process network data
From the course: Data-Driven Network Security Essentials
Machine learning to process network data
- The diversity and value of network security data sources are increasing exponentially, even as I speak. Unfortunately, Data Processing and Analysis Systems in their conventional forms are incapable of dealing with this remarkable growth. Fortunately, immersing technologies, such as Cloud computing and machine learning are coming to our rescue. The network security data we're talking about here has already reached the realm of big data. Cloud computing offers a distributed environment that helps with storing and processing the large volume and diversity of network security data, which is up to par with other types of big data out there. Machine learning provides network security professionals with useful insight and predicted power to reputedly make an informed decision on what actions to take against impending attacks to their network. Building on the Cloud computing infrastructure solved the solutions like Hadoop and Spark feature-distributed file systems and parallel processing…
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