Collaborative Cyber Threat Intelligence


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Collaborative Cyber Threat Intelligence


Collaborative Cyber Threat Intelligence

Author: Florian Skopik

language: en

Publisher: CRC Press

Release Date: 2017-10-16


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Threat intelligence is a surprisingly complex topic that goes far beyond the obvious technical challenges of collecting, modelling and sharing technical indicators. Most books in this area focus mainly on technical measures to harden a system based on threat intel data and limit their scope to single organizations only. This book provides a unique angle on the topic of national cyber threat intelligence and security information sharing. It also provides a clear view on ongoing works in research laboratories world-wide in order to address current security concerns at national level. It allows practitioners to learn about upcoming trends, researchers to share current results, and decision makers to prepare for future developments.

Collaborative Cyber Threat Intelligence


Collaborative Cyber Threat Intelligence

Author: Louis Bruce

language: en

Publisher: Createspace Independent Publishing Platform

Release Date: 2018-04-19


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This book provides a unique position on the subject of nationwide online risk intellect and protection information discussing. It also provides a clear view on continuous works in research labs world-wide in order to address present protection issues at nationwide level. It allows experts to learn about future styles, scientists to discuss present results, and decision creators to get ready for future improvements.Threat intellect is a amazingly complicated subject that goes far beyond the apparent technological difficulties of gathering, acting and discussing technological signs. Most guides in this area focus mainly on technological actions to solidify a system based on risk apple data and restrict their opportunity to single companies only.

Cyber Threat Intelligence


Cyber Threat Intelligence

Author: Ali Dehghantanha

language: en

Publisher: Springer

Release Date: 2018-04-27


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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.