All About IoT Security

Learn about malware, vulnerabilities, blockchain applications & more to protect connected devices and secure IoT systems.

  • 0.6 CEU / 6 PDH credits
  • Launched 2023
  • 6 courses
  • 6 hours

Course Description

This course program was developed by IEEE Educational Activities with the support from IEEE Internet of Things Technical Community. As Internet of Things (IoT) devices and systems become increasingly commonplace in our interconnected and digitalized society, there will be a greater emphasis on the security of such devices and systems partly because of the data sensed, collected, disseminated, processed, and/or stored by and in these devices and systems. In addition, these devices and systems may also be targeted and abused as tools to facilitate other nefarious activities. Hence, this course program is designed to provide the audience a broad overview of IoT security, starting with malware (botnet detection and malware analysis) followed by vulnerabilities, network monitoring, setting up of testbeds and application of blockchain in IoT security.

Course Objectives

  • Consider how IoT botnets grow their networks
  • Discuss IoT Malware forensics
  • Demonstrate the importance of a taxonomy when designing an IoT system in terms of security
  • Understand the need for IoT testbed and IoT network traffic datasets
  • Examine the application of blockchain to IoT

Authors and Instructors

Xiaolu Zhang

Associate Professor of practice, Department of information systems and cybersecurity, The University of Texas at San Antonio, TX

Dr. Zhang is an associate professor of practice in the department of information systems and cybersecurity at the University of Texas at San Antonio (UTSA). His research interest is in the wide field of cybersecurity and forensics. His work has been published in the industry’s top-tier journals and shared at conferences addressing numerous fields such as mobile phone security and forensics, Internet of Things (IoT) forensics, IoT malware forensic analysis and distributed cloud security and forensics. He has been teaching operating system security, reverse engineering, digital forensic analysis and other classes in various institutions for several years. Zhang received his Ph.D. in computer science from Jilin University, Changchun, China, in 2016. Prior to his current position, he was a visiting Ph.D. student at the University of New Haven, West Haven, CT, USA, and a postdoc researcher at UTSA. In addition, he was the recipient of a China Scholarship Council Scholarship for his doctoral work as well as the winner of UTSA’s Endowed 1969 Commemorative Award for Teaching Excellence.

Kim-Kwang Raymond Choo

Cloud Technology Endowed Professorship, The University of Texas at San Antonio, TX

Kim-Kwang Raymond Choo received a 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. He is the founding co-editor-in-chief of ACM Distributed Ledger Technologies: Research and Practice, and the founding Chair of IEEE Technology and Engineering Management Society Technical Committee (TC) on Blockchain and Distributed Ledger Technologies. He is the recipient of the 2022 IEEE Hyper-Intelligence TC Award for Excellence in Hyper-Intelligence Systems (Technical Achievement Award), the 2022 IEEE TC on Homeland Security Research and Innovation Award, the 2022 IEEE TC on Secure and Dependable Measurement Mid-Career Award, and the 2019 IEEE TC on Scalable Computing Award for Excellence in Scalable Computing (Middle Career Researcher).

Gang Zhou

Full Professor, Computer Science Department, William & Mary, Williamsburg, VA

Gang Zhou (IEEE Fellow) received his Ph.D. degree from the University of Virginia, Charlottesville, VA, USA, in 2007. He is a Full Professor with the Computer Science Department, William & Mary, Williamsburg, VA, USA, where he was the Graduate Program Director from 2015 to 2017. He is a co-Editor-in-Chief of ACM Transactions on Computing for Healthcare; a co-Area-Editor of IEEE Internet of Things journal for “Area 1: Sensors and Devices for IoT,” and an Associate Editor of ACM Transactions on Sensor Networks. He serves as the Steering Committee Member, the General Chair, and the TPC Chair of ACM/IEEE Conference on Connected Health: Applications, Systems and Engineering Technologies. He has received numerous awards.