What is it about?

Organizations are using advanced security solutions to protect their information resources. However, even such high investments, traditional security approaches failed to protect the network structure against state-of-the-art attacks. New proactive approaches to security are on the rise such as User Entity Behavior Analytics (UEBA).

Featured Image

Why is it important?

UEBA is a type of cybersecurity process that uses machine learning, algorithms, and statistical analyses to detect real-time network attacks. This paper aims to assess the value and success of using behavior analytics in securing the network from not-before-seen attacks such as zero-day attacks. This paper uses a systematic literature review and self-administrated survey and interviews with convenience sampling of high profile network users and top security vendors.

Perspectives

User Entity Behavior Analytics (UEBA).

Associate Professor Dr. Ali Hussein Zolait
University of Bahrain

Read the Original

This page is a summary of: The role of User Entity Behavior Analytics to detect network attacks in real time, November 2018, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/3ict.2018.8855782.
You can read the full text:

Read

Contributors

The following have contributed to this page