The significant amount of data generated and sent from sensors, individual archives, social networks, IoT networks, and enterprises require utilization of big data analytics in almost all aspects of cybersecurity, forensics and threat intelligence. As the number of Internet of Things (IoT) devices have been predicted to surpass 50 billion by 2020, attackers’ attention has also shifted towards tools, techniques, and procedures to exploit IoT networks. The number and diversity of nodes exist within IoT networks significantly increase the size of audit and security logs and intrusion data that should be collected and analyzed from the IoT ecosystem. Hence, IoT security and privacy are two urgent big-data challenges. The purpose of this handbook is to explore cybersecurity, forensics, and threat intelligence challenges and solutions relating to big data IoT.
Specifically, this book welcomes two categories of chapters: (1) invited articles from qualified experts; and (2) contributed papers from an open call with a list of addressed topics. Topics of interest include but not limited to:
Note: Papers are gradually reviewed and accepted from 1st Sep 2017 until submission deadline or when we reach to the maximum number of pages agreed with Springer. Authors are suggested to submit their chapters as early as possible and consult with one of the editors prior to the paper submission to validate the relevance and suitability of their submissions.
All accepted papers will be published as contributed chapters to a book titled “Handbook of Big Data and IoT Security”. Please carefully format your manuscript in accordance with Springer Book Manuscript Guideline. To Submit your paper please CLICK HERE..!
For any enquiries regarding your submission or suitability of your paper, please feel free to contact book editors: