TY - JOUR
T1 - Blockchain and AI Empowered Trust-Information-Centric Network for beyond 5G
AU - Pan, Qianqian
AU - Wu, Jun
AU - Li, Jianhua
AU - Yang, Wu
AU - Guan, Zhitao
N1 - Funding Information:
Acknowledgments This work was supported in part by the National Natural Science Foundation of China under Grants 61972255 and 61831007. Moreover, this article was also supported by the Special Fund for Industrial Transformation and Upgrading Development of Shanghai (the first batch of strong industrial foundation) (No.GYQJ-2018-3-03).
Publisher Copyright:
© 1986-2012 IEEE.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - As the next-generation network, beyond fifth generation (B5G) provides transmission capability up to terabits and processes hundreds of exabytes of content data per day from the internet of Everything. From 5G to B5G, the information-centric network (iCN) is expected to play a vital role due to the strong capabilities of content distribution, caching, and processing. As security is a major concern in B5G, content trust of iCN is of critical importance. Lack of content trust leads to the untrustworthiness and maliciousness of services and applications in B5G, such as malicious accidents resulting from the untrusted content of vehicle navigation and autonomous system. To deal with this issue, we propose a blockchain and artificial intelligence (Ai) empowered trust-information-centric network architecture for B5G. First, we design a blockchain-based trust evaluation and circulation scheme for B5G nodes called TrustCoin, which quantifies the credibility of B5G nodes in a dynamic and fine-grained way, and manages trust quotas of B5G nodes as well as trust-coin circulation. Second, to obtain the content credibility, we devise a credibility decision method based on content status and B5G nodes' behaviors by exploiting the excellent properties of deep reinforcement learning, which provides the intelligent allocation criterion for TrustCoin. Third, we propose a smart incentive mechanism for the endogenous trust of B5G networks according to the allocation criterion, thereby establishing the trust-information-centric network. Experimental results have verified the effectiveness of our proposed mechanism.
AB - As the next-generation network, beyond fifth generation (B5G) provides transmission capability up to terabits and processes hundreds of exabytes of content data per day from the internet of Everything. From 5G to B5G, the information-centric network (iCN) is expected to play a vital role due to the strong capabilities of content distribution, caching, and processing. As security is a major concern in B5G, content trust of iCN is of critical importance. Lack of content trust leads to the untrustworthiness and maliciousness of services and applications in B5G, such as malicious accidents resulting from the untrusted content of vehicle navigation and autonomous system. To deal with this issue, we propose a blockchain and artificial intelligence (Ai) empowered trust-information-centric network architecture for B5G. First, we design a blockchain-based trust evaluation and circulation scheme for B5G nodes called TrustCoin, which quantifies the credibility of B5G nodes in a dynamic and fine-grained way, and manages trust quotas of B5G nodes as well as trust-coin circulation. Second, to obtain the content credibility, we devise a credibility decision method based on content status and B5G nodes' behaviors by exploiting the excellent properties of deep reinforcement learning, which provides the intelligent allocation criterion for TrustCoin. Third, we propose a smart incentive mechanism for the endogenous trust of B5G networks according to the allocation criterion, thereby establishing the trust-information-centric network. Experimental results have verified the effectiveness of our proposed mechanism.
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U2 - 10.1109/MNET.021.1900608
DO - 10.1109/MNET.021.1900608
M3 - Article
AN - SCOPUS:85097333917
SN - 0890-8044
VL - 34
SP - 38
EP - 45
JO - IEEE Network
JF - IEEE Network
IS - 6
M1 - 9277899
ER -