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Handbook of Big Data and IoT Security

Handbook of Big Data and IoT Security

by Ali Dehghantanha and Kim-Kwang Raymond Choo
Hardback
Publication Date: 09/07/2019

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1 Big Data and Internet of Things Security and Forensics: Challenges and Opportunities.- 2 Privacy of Big Data - a Review.- 3 A Bibliometric Analysis of Authentication and Access Control in IoT Devices.- 4 Towards Indeterminacy - Tolerant Access Control in IoT.- 5 Private Cloud Storage Forensics: Seafile as a Case Study.- 6 Distributed Filesystem Forensics: Ceph as a Case Study.- 7 Forensic Investigation of Cross Platform Massively Multiplayer Online Games: Minecraft as a Case Study.- 8 Big Data Forensics: Hadoop Distributed File Systems as a Case Study.- 9 Internet of Things Camera Identi cation Algorithm Based on Sensor Pattern Noise Using Color Filter Array and Wavelet Transform.- 10 Protecting IoT and ICS Platforms Against Advanced Persistent Threat Actors: Analysis of APT1, Silent Chollima and Molerats.- 11 Analysis of APT Actors Targeting IoT and Big Data Systems: Shell_Crew, NetTraveler, ProjectSauron, CopyKittens, Volatile Cedar and Transparent Tribe as a Case Study.- 12 A Cyber Kill Chain Based Analysis of Remote Access Trojans.- 13 Evaluation and Application of Two Fuzzing Approaches for Security Testing of IoT Applications.- 14 Bibliometric Analysis on the Rise of Cloud Security.- 15 A Bibliometric Analysis of Botnet Detection Techniques.- 16 Security in Online Games: Current Implementations and Challenges.
ISBN:
9783030105426
9783030105426
Category:
Computer networking & communications
Format:
Hardback
Publication Date:
09-07-2019
Language:
English
Publisher:
Springer International Publishing AG
Country of origin:
Switzerland
Dimensions (mm):
235x155mm
Weight:
0.76kg

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