Big Data Analytics And Intelligent Systems For Cyber Threat Intelligence 1st Edition Yassine Maleh by Yassine Maleh, Mamoun Alazab, Loai Tawalbeh, Imed Romdhani, (eds.) 9788770227780, 8770227780 instant download after payment.

In recent years, a considerable amount of effort has been devoted to
cyber-threat protection of computer systems which is one of the most
critical cybersecurity tasks for single users and businesses since even a
single attack can result in compromised data and sufficient losses.
Massive losses and frequent attacks dictate the need for accurate and
timely detection methods. Current static and dynamic methods do not
provide efficient detection, especially when dealing with zero-day
attacks. For this reason, big data analytics and machine
intelligencebased techniques can be used.
This book brings together
researchers in the field of big data analytics and intelligent systems
for cyber threat intelligence CTI and key data to advance the mission of
anticipating, prohibiting, preventing, preparing, and responding to
internal security. The wide variety of topics it presents offers readers
multiple perspectives on various disciplines related to big data
analytics and intelligent systems for cyber threat intelligence
applications. Technical topics discussed in the book include:
• Big
data analytics for cyber threat intelligence and detection• Artificial
intelligence analytics techniques• Real-time situational awareness•
Machine learning techniques for CTI• Deep learning techniques for CTI•
Malware detection and prevention techniques• Intrusion and cybersecurity
threat detection and analysis• Blockchain and machine learning
techniques for CTI
This book brings together researchers in the field
of big data analytics and intelligent systems for cyber threat
intelligence CTI and key data to advance the mission of anticipating,
prohibiting, preventing, preparing, and responding to internal security.