Handbook of Big Data and IoT Security

Inbunden, Engelska, 2019

AvAli Dehghantanha,Kim-Kwang Raymond Choo

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This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices.

Produktinformation

Utgivningsdatum2019-04-02
Mått155 x 235 x undefined mm
FormatInbunden
SpråkEngelska
Antal sidor384
FörlagSpringer Nature Switzerland AG
ISBN9783030105426

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Dr. Ali Dehghantanha is the Director of Cyber Science Lab in the School of Computer Science, University of Guelph (UofG), Ontario, Canada. He has served for more than a decade in a variety of industrial and academic positions with leading players in Cyber Security and Artificial Intelligence. Prior to joining UofG, he was a Senior Lecturer at the University of Sheffield, UK and an EU Marie-Curie International Incoming Fellow at the University of Salford, UK. He has a PhD in Security in Computing and a number of professional certifications including CISSP and CISM. His main research interests are malware analysis and digital forensics, IoT security and application of AI in the Cyber Security.Kim-Kwang Raymond Choo received the Ph.D. in Information Security in 2006 from Queensland University of Technology, Australia. He currently holds the Cloud Technology Endowed Professorship at The University of Texas at San Antonio (UTSA). In 2016, he was named the Cybersecurity Educatorof the Year - APAC (Cybersecurity Excellence Awards are produced in cooperation with the Information Security Community on LinkedIn), and in 2015 he and his team won the Digital Forensics Research Challenge organized by Germany's University of Erlangen-Nuremberg. He is the recipient of the 2018 UTSA College of Business Col. Jean Piccione and Lt. Col. Philip Piccione Endowed Research Award for Tenured Faculty, IEEE TrustCom 2018 Best Paper Award, ESORICS 2015 Best Research Paper Award, 2014 Highly Commended Award by the Australia New Zealand Policing Advisory Agency, Fulbright Scholarship in 2009, 2008 Australia Day Achievement Medallion, and British Computer Society's Wilkes Award in 2008. He is also a Fellow of the Australian Computer Society, an IEEE Senior Member, and the Co-Chair of IEEE Multimedia Communications Technical Committee (MMTC)’s Digital Rights Management for Multimedia Interest Group.

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.