| Title | Study on Security Technology of Internet of Things Based on Network Coding |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Zhou, Yejun, Qiu, Lede, Yu, Hang, Sun, Chunhui |
| Conference Name | 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC) |
| Keywords | composability, computer network security, cyber physical systems, eavesdropping adversaries, encoding, information network, information secure network coding scheme, information technology, Internet of Things, max-flow, network coding, Predictive Metrics, prefect information secure condition, pubcrawl, Resiliency, Satellites, security, traditional network technology |
| Abstract | Along with the continuous progress of the information technology, Internet of Things is the inevitable way for realizing the fusion of communication and traditional network technology. Network coding, an important breakthrough in the field of communication, has many applied advantages in information network. This article analyses the eavesdropping problem of Internet of Things and presents an information secure network coding scheme against the eavesdropping adversaries. We show that, if the number of links the adversaries can eavesdrop on is less than the max-flow of a network, the proposed coding scheme not only `achieves the prefect information secure condition but also the max-flow of the network. |
| DOI | 10.1109/DSC.2018.00057 |
| Citation Key | zhou_study_2018 |
Study on Security Technology of Internet of Things Based on Network Coding