Book Image

Artificial Intelligence for Big Data

By : Anand Deshpande, Manish Kumar
Book Image

Artificial Intelligence for Big Data

By: Anand Deshpande, Manish Kumar

Overview of this book

In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Understanding SIEM


Security Incident and Event Management (SIEM) is a process that helps cyber security implementation by gathering security-related information (network and application logs for example) at a centralized location or tags those information assets at the edge (the location where the data is generated in the case of IoT) and uses this information for identification of anomalies which indicates breaches to the security infrastructure of an enterprise.

The SIEM also facilitates continuous monitoring of the security infrastructure by providing intuitive visualization dashboards. SIEM as a process is implemented as a suite of software which is governed by enterprise security with role-based access control. The common characteristic features of the SIEM system are depicted in the following diagram:

Figure 11.9 Features of the SIEM system

The SIEM software application needs to support the basic building blocks as follows:

  • Data Collection: The SIEM software should support a variety of...