Affiliation:
1. Rao Bahadur Y Mahabaleswarappa Engineering College, Bellary, Karnataka, India
Abstract
The Internet of Things (IoT) has major implications in the transportation industry. Autonomous Vehicles (AVs) aim at improving day-to-day activities such as delivering packages, improving traffic, and the transportations of goods. AVs are not limited to ground vehicles but also include aerial and sea vehicles with a wide range of applications. To overcome this problem we are implementing Cyber Security (CS) based data transfer to Autonomous vehicle. Here a cloud is the mediator that which transfers sender files to autonomous vehicle with more security we are using CS based (Advanced Encryption Standard), and SHA-1 algorithms which are used to hide the transferred data into cipher text. The cipher text can be decrypted by the private key generated by sender to the particular AV.
Reference12 articles.
1. R. Quinonez, J. Giraldo, L. Salazar, E. Bauman, A. Cardenas, Z. Lin, Securing Autonomous Vehicles with a Robust Physics-Based Anomaly Detector. 29th USENIX Security Symposium (USENIX Security 20). Boston, MA, August 2020.
2. M. Masood, L. Khan, and B. Thuraisingham, Data Mining Applications in Malware Detection, CRC Press 2011.
3. Y. Zhou, M. Kantarcioglu, B. M. Thuraisingham, B. Xi, Adversarial support vector machine learning. ACM KDD 2012: 1059-1067
4. B. M. Thuraisingham, SecAI: Integrating Cyber Security and Artificial Intelligence with Applications in Internet of Transportation and Infrastructures, Clemson University Center for Connected Multimodal Mobility, Annual Conference, October 2019.
5. B. M. Thuraisingham, P Pallabi, M. Masud, L. Khan, Big Data Analytics with Applications in Insider Threat Detection, CRC Press, 2017.