Cyber Threat Intelligence by Ali Dehghantanha (English) Hardcover Book

Description: Cyber Threat Intelligence by Ali Dehghantanha, Mauro Conti, Tooska Dargahi 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 backgroundsin 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Table of Contents 1 Introduction.- 2 Machine Learning Aided Static Malware Analysis.- 3 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Datasets and Feature Selection.- 4 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Classification Algorithms.- 5 Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection.- 6 Leveraging Support Vector Machine for Opcode Density Based Detection of Crypto-Ransomware.- 7 BoTShark - A Deep Learning Approach for Botnet Traffic Detection.- 8 A Practical Analysis of The Rise in Mobile Phishing.- 9 PDF-Malware Detection: A Survey and Taxonomy of Current Techniques.- 10 Adaptive Traffic Fingerprinting for Darknet Threat Intelligence.- 11 A Model for Android and iOS Applications Risk Calculations: CVSS Analysis and Enhancement Using Case-Control Studies.- 12 A Honeypot Proxy Framework for Deceiving Attackers with Fabricated Content.- 13 Investigating the Possibility of Data Leakage in Time of Live VM Migration.- 14 Forensics Investigation of OpenFlow-Based SDN Platforms.- 15 Mobile Forensics: A Bibliometric Analysis.- 16 Emerging from The Cloud: A Bibliometric Analysis of Cloud Forensics Studies. Review "Cyber Threat Intelligence offers responsible security professionals a chance to come face to face with the cyberthreat detectors of the modern era. Many may be intimidated by the computerese, equations, and algorithms … but they have the educational advantage of engaging with the genuine article, not a sugar-coated primer." (James T. Dunne, Security Management, June 01, 2019) Review Quote "Cyber Threat Intelligence offers responsible security professionals a chance to come face to face with the cyberthreat detectors of the modern era. Many may be intimidated by the computerese, equations, and algorithms ... but they have the educational advantage of engaging with the genuine article, not a sugar-coated primer." (James T. Dunne, Security Management, June 01, 2019) Feature Focuses on cyber threat intelligence of recent threats (i.e. ransomware) within emerging IT environments (i.e. IoT, Cloud, Mobile devices) One of the first books that focuses on cyber threat intelligence and how different machine learning and data science techniques can be used in this field Provides an inter-disciplinary view of cyber threat intelligence and paves the way for future research in the field Details ISBN3319739506 Publisher Springer International Publishing AG Series Advances in Information Security Year 2018 Edition 1st ISBN-10 3319739506 ISBN-13 9783319739502 Format Hardcover Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Edited by Tooska Dargahi Pages 334 DEWEY 005.8 Publication Date 2018-05-14 Language English Series Number 70 UK Release Date 2018-05-14 Author Tooska Dargahi Illustrations 77 Illustrations, color; 28 Illustrations, black and white; VI, 334 p. 105 illus., 77 illus. in color. Narrator Patrick Osborne Birth 1974 Affiliation Massachusetts Institute of Technology Position journalist Edition Description 1st ed. 2018 Alternative 9783030088910 Audience Postgraduate, Research & Scholarly We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131029823;

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