Cyber Threat Intelligence
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 Thi...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Advances in Information Security,
70 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.