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Connected Cars and Real-Time
Data Analytics using Blockchain
- Vedant Bhoj
About Me
• Bachelors of Engineering – Electronics and
Telecommunication
• Web Application Development at Cognizant, India.
• MS – Computer Engineering (San Jose State University)
• Full Stack Engineering Intern at HealthLevel Inc. in
Mountain View, CA
• Web Developer Assistant (San Jose State University)
Connected Cars
• Connected cars are the future.
• The automotive industry is growing rapidly which is going to
generate a tremendous amount of data.
• Fifth Generation – Vehicular Ad-Hoc Network (5G-VANET).
The Global Market
Ride hailing services
Ride hailing usage worldwide
Ride hailing usage worldwide
The Proposed Model
• Real-Time Data Sharing
• Prediction Model
• Big Data Analytics
• High-Performance Cloud Computing
• Data Security with Blockchain
Real-time data sharing
• Real-time data sharing is one of the most important
aspects of the connected cars eco-system.
• The cloud technology has evolved and the merger of
the Internet of Things (IoT) with 5G technology has
opened new doors to the cloud storage industry.
• The data sharing needs to be fast, accurate and
reliable as this data is critical to avoid fatal accidents
between the vehicles and improve traffic congestion.
Prediction Model and
Big Data Analytics
• A fail-proof predictive modeling technique is
recommended for connected cars to perform well in
emergency situations.
• Machine learning can be used to improve the security of
a connected car.
• A Hidden Markov Model (HMM) is a well-designed model
and can be used to train normal vehicle behavior.
• Furthermore, the regression technique should be used to
ensure the model is fail-proof in real-time scenarios.
High Performance Cloud
Computing
• To get the real-time analysis of the data sent to the
cloud storage, a very high-performance computer is
required.
• Such High-Performance Computer’s (HPC’s) can collect
analyze and process the data in few seconds and send
back to the connected car.
• The car can make decisions based on the results
provided by these High-Performance Computer’s
(HPC’s).
• Amazon Web Services provides the most elastic and
scalable cloud infrastructure to run on such High-
Performance applications.
Security with Blockchain
Conclusion
The research on securing the data shared over the Vehicular
Network has a lot of good implications.
Using this model of securing the data using the consortium
blockchain will make transportation safer, economical and eco-
friendly.
This study will help the automotive industry to build a solution
which is safe and trustworthy for the end consumers.
Thank You

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CONNECTED CARS & DATA ANALYTICS USING BLOCKCHAIN

  • 1. Connected Cars and Real-Time Data Analytics using Blockchain - Vedant Bhoj
  • 2. About Me • Bachelors of Engineering – Electronics and Telecommunication • Web Application Development at Cognizant, India. • MS – Computer Engineering (San Jose State University) • Full Stack Engineering Intern at HealthLevel Inc. in Mountain View, CA • Web Developer Assistant (San Jose State University)
  • 3. Connected Cars • Connected cars are the future. • The automotive industry is growing rapidly which is going to generate a tremendous amount of data. • Fifth Generation – Vehicular Ad-Hoc Network (5G-VANET).
  • 6. Ride hailing usage worldwide
  • 7. Ride hailing usage worldwide
  • 8. The Proposed Model • Real-Time Data Sharing • Prediction Model • Big Data Analytics • High-Performance Cloud Computing • Data Security with Blockchain
  • 9. Real-time data sharing • Real-time data sharing is one of the most important aspects of the connected cars eco-system. • The cloud technology has evolved and the merger of the Internet of Things (IoT) with 5G technology has opened new doors to the cloud storage industry. • The data sharing needs to be fast, accurate and reliable as this data is critical to avoid fatal accidents between the vehicles and improve traffic congestion.
  • 10. Prediction Model and Big Data Analytics • A fail-proof predictive modeling technique is recommended for connected cars to perform well in emergency situations. • Machine learning can be used to improve the security of a connected car. • A Hidden Markov Model (HMM) is a well-designed model and can be used to train normal vehicle behavior. • Furthermore, the regression technique should be used to ensure the model is fail-proof in real-time scenarios.
  • 11. High Performance Cloud Computing • To get the real-time analysis of the data sent to the cloud storage, a very high-performance computer is required. • Such High-Performance Computer’s (HPC’s) can collect analyze and process the data in few seconds and send back to the connected car. • The car can make decisions based on the results provided by these High-Performance Computer’s (HPC’s). • Amazon Web Services provides the most elastic and scalable cloud infrastructure to run on such High- Performance applications.
  • 13. Conclusion The research on securing the data shared over the Vehicular Network has a lot of good implications. Using this model of securing the data using the consortium blockchain will make transportation safer, economical and eco- friendly. This study will help the automotive industry to build a solution which is safe and trustworthy for the end consumers.

Editor's Notes

  1. 1. Almost all the new cars launched in the recent years are capable of sharing vehicular data over 5G - Vehicular Ad-Hoc Network (5G-VANET). 2. The automotive industry has shown a rapid growth, and this is going to generate a tremendous amount of data in the coming years. 3. The data analytics businesses would churn out a lot of money based on the insights they would provide to the customers. 4. But keeping such crucial data secure is still a significant issue. 5. The data generated from the cars and the Internet of Things (IoT) devices on board these cars is crucial for the automobile companies to provide safe and efficient software thereby improving the safety of the passengers and pedestrians.
  2. 1. Consortium blockchain is the combination of Public and Private blockchain. 2. The consortium blockchain uses selected nodes/organizations for the consensus determination. 3. High Efficiency, Permissioned Consensus process and partially centralized makes Consortium Blockchain the best technique to secure the vehicular data for connected cars. The consortium blockchain is a system that is 'semi-private' and has a controlled user group, but works across different organizations. There are many benefits to consortium systems, and many blockchain platforms are setting themselves up as a backbone for these cross-company and cross-discipline solutions.