Handbook of Big Data and Iot Security (Hardcover, 2019)

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.