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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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Cyber Threat Intelligence (Hardcover, 1st ed. 2018)
Loot Price: R4,781
Discovery Miles 47 810
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Cyber Threat Intelligence (Hardcover, 1st ed. 2018)
Series: Advances in Information Security, 70
Expected to ship within 12 - 17 working days
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This book provides readers with up-to-date research of emerging
cyber threats and defensive mechanisms, which are timely and
essential. It covers cyber threat intelligence concepts against a
range of threat actors and threat tools (i.e. ransomware) in
cutting-edge technologies, i.e., Internet of Things (IoT), Cloud
computing and mobile devices. This book also provides the technical
information on cyber-threat detection methods required for the
researcher and digital forensics experts, in order to build
intelligent automated systems to fight against advanced
cybercrimes. The ever increasing number of cyber-attacks requires
the cyber security and forensic specialists to detect, analyze and
defend against the cyber threats in almost real-time, and with such
a large number of attacks is not possible without deeply perusing
the attack features and taking corresponding intelligent defensive
actions - this in essence defines cyber threat intelligence notion.
However, such intelligence would not be possible without the aid of
artificial intelligence, machine learning and advanced data mining
techniques to collect, analyze, and interpret cyber-attack
campaigns which is covered in this book. This book will focus on
cutting-edge research from both academia and industry, with a
particular emphasis on providing wider knowledge of the field,
novelty of approaches, combination of tools and so forth to
perceive reason, learn and act on a wide range of data collected
from different cyber security and forensics solutions. This book
introduces the notion of cyber threat intelligence and analytics
and presents different attempts in utilizing machine learning and
data mining techniques to create threat feeds for a range of
consumers. Moreover, this book sheds light on existing and emerging
trends in the field which could pave the way for future works. The
inter-disciplinary nature of this book, makes it suitable for a
wide range of audiences with backgrounds in artificial
intelligence, cyber security, forensics, big data and data mining,
distributed systems and computer networks. This would include
industry professionals, advanced-level students and researchers
that work within these related fields.
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