Automotive Cyber Security: Protecting the Vehicular Network Course Program

Get autonomous vehicle technology training from IEEE. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. These courses are designed to help engineers stay up-to-date on the latest technologies. Produced and vetted by leading experts, you can count on IEEE Continuing and Professional Education courses to equip you with the information you need to stay current in your field.

As the automotive industry continues to work on intelligent and autonomous vehicles, there is a need to better comprehend the safety and security of this connected technology. This course program investigates cyber security issues and solutions as well as how blockchain technology applies to automotive applications. It also provides in-depth knowledge of collecting, analyzing, and interpreting vehicular data and its impact on security, the economy, and safety into the future.

This five-course autonomous vehicle training program covers the following topics:

• Evolution of Intelligent and Autonomous Vehicles
• Connected Vehicle Communication
• Securing Intelligent Transportation Systems
• Using Blockchain Technology to Secure Autonomous Vehicles
• Collecting, Analyzing, and Interpreting Vehicular Data

Upon successful completion of Automotive Cyber Security: Protecting the Vehicular Network course program, your engineers will receive valuable CEUs/PDHs from IEEE that can be used to maintain engineering licenses.

 

 

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The Automotive Cyber Security: Protecting the Vehicular Network online training program includes the following courses:

Evolution of Intelligent and Autonomous Vehicles
Learn about the evolution of the automotive industry and how its recent connection with information technology created a path towards autonomous vehicles.

Connected Vehicle Communication
Understand the automotive system architecture and the secure vehicular cloud server platform.

Securing Intelligent Transportation Systems
Learn how to identify potential attacks on Intelligent Transportation System technologies and understand the engineering requirements and specifications to make them secure.

Using Blockchain Technology to Secure Autonomous Vehicles
Comprehend the role of blockchain technology in automotive cyber security systems through applied scenarios, use-case scenarios, and simulation analysis.

Collecting, Analyzing, and Interpreting Vehicular Data
Learn how to collect available real-time vehicular data and comprehend the analysis process and data interpretation.

 

 

For individual pricing, click here

IEEE has partnered with some of the top experts in vehicular technologies, connected cars, and blockchain technologies.

Madhusudan Singh (SMIEEE) is an Assistant Professor/Director of ReBlockchain Group at ECIS, Woosong University, South Korea. He is actively involved in entrepreneurial endeavors in Blockchain Technologies with AI, CyberSecurity, CPS and Autonomous vehicles. He has worked as a senior engineer in the R&D division at Samsung Display, Korea, and Research Professor at YICT, Yonsei University, Korea. He is serving as a series editor of the Blockchain Technologies in Springer Nature.

Dr. Dhananjay Singh, is an award winning scientist and academic with applied knowledge in the field of data science and engineering for smart city mobility technologies. He is a senior member of IEEE and a member of the Association for Computing Machinery Society and an established entrepreneur in the field of blockchain technologies for autonomous vehicle data market platform for the past seven years.

Irish Singh is a computer engineer working as a research associate at the Software Convergence Technology Department at the Ajou University in South Korea. Her research on adaptive security in cloud computing, self-adaptive requirements engineering, and blockchain solutions for the vehicular environment has been published in peer-reviewed publications. She specializes in adaptive security against cyber attacks on intelligent and autonomous vehicles.