IoT Security: Botnet Detection
This course was developed by IEEE Educational Activities with the support from IEEE Internet of Things Technical Community. In this course, we will review how IoT botnets organize their networks. We will also examine the power-side channel information generated by IoT bots. With the obtained side-channel information, we will then explore deep-learning classifier modeling.
What you will learn:
- Review IoT Security Technology
- Define Internet of Things (IoT) devices
- Examine the importance of IoT security
- Discuss vulnerabilities: People, Process, Technology
- Examine motivations
- Discuss challenges
This course is part of the following course program:
All About IoT Security
Courses included in this program:
Who should attend: Electrical Engineer, Design Engineer, Communications Systems Engineer, Product Engineer, Computer Engineer, Software Engineer, Project Engineer Software/Security Engineer, AI/ML Engineer
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.
Kim-Kwang Raymond Choo
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).
Publication Year: 2023