| Title | Securing core information sharing and exchange by blockchain for cooperative system |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Ding, Lei, Wang, Shida, Wan, Renzhuo, Zhou, Guopeng |
| Conference Name | 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) |
| Date Published | nov |
| Keywords | artificial intelligence, blockchain, cooperative robot system, cryptography, human factors, Metrics, peer to peer security, Peer-to-peer computing, peer-to-peer network, pubcrawl, Resiliency, Robot kinematics, robots, Scalability, Servers, Task Analysis |
| Abstract | The privacy protection and information security are two crucial issues for future advanced artificial intelligence devices, especially for cooperative system with rich core data exchange which may offer opportunities for attackers to fake interaction messages. To combat such threat, great efforts have been made by introducing trust mechanism in initiative or passive way. Furthermore, blockchain and distributed ledger technology provide a decentralized and peer-to-peer network, which has great potential application for multi-agent system, such as IoTs and robots. It eliminates third-party interference and data in the blockchain are stored in an encrypted way permanently and anti-destroys. In this paper, a methodology of blockchain is proposed and designed for advanced cooperative system with artificial intelligence to protect privacy and sensitive data exchange between multi-agents. The validation procedure is performed in laboratory by a three-level computing networks of Raspberry Pi 3B+, NVIDIA Jetson Tx2 and local computing server for a robot system with four manipulators and four binocular cameras in peer computing nodes by Go language. |
| DOI | 10.1109/DDCLS49620.2020.9275195 |
| Citation Key | ding_securing_2020 |
Securing core information sharing and exchange by blockchain for cooperative system