Automotive Cyber Security: Protecting the Vehicular Network
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. The IEEE 5-course program, Automotive Cyber Security: Protecting the Vehicular Network, aims to foster the discussion on automotive cyber security solutions and requirements for not only intelligent vehicles, but also the infrastructure of intelligent transportation systems.
Technical professionals need to understand the cyber security challenges, possible solutions, and methodology to finding the security requirements needed during the design and development of automotive 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.
What you will learn:
- The fundamentals of the vehicle communication environment based on the evolution of intelligent and autonomous vehicles
- How to conduct a cyber security risk analysis based on known threats and knowledge from past attacks that will minimize risks to such threats
- How to identify the components of the automotive system architecture and the secure vehicular cloud server platform based on the nature of connected vehicles; and how do they work
- How to successfully select and apply adaptive cyber security solutions for autonomous vehicles based on the features, goals and engineering requirements of the intelligent transportation system
- How and which blockchain technologies can be used to secure autonomous vehicles based on case studies and simulation analysis
- How to identify the advantages and challenges of collecting real-time vehicular data for the purpose of interpreting them to advance cyber security and safety for autonomous vehicles
Courses included in the program:
Program Length: 5 hours
Who should attend: Electrical engineer, Network engineer, Data engineer, Design engineer, Computer engineer, Systems engineer, field, Hardware engineer, Security engineer, Lead engineer, Project engineer, Product engineer, AI/ML engineer, Computer engineer
Course program level: Intermediate
Madhusudan Singh, Assistant Professor/Director of ReBlockchain Group at ECIS, Woosong University, South Korea
Dhananjay Singh, Award winning scientist and academic with applied knowledge in the field of data science and engineering for smart city mobility technologies
Irish Singh, Computer engineer working as a research associate at the Software Convergence Technology Department at the Ajou University in South Korea
Publication Year: 2020
Upon successful completion of this course program, you are eligible to receive a digital badge that can be shared on LinkedIn and other social networks. If you would like to request a badge for this program, please contact us: firstname.lastname@example.org.