TY - JOUR
T1 - Securing ICN-Based UAV Ad Hoc Networks with Blockchain
AU - Lei, Kai
AU - Zhang, Qichao
AU - Lou, Junjun
AU - Bai, Bo
AU - Xu, Kuai
N1 - Funding Information:
This project was supported by Shenzhen Key Lab for Information Centric Networking and Blockchain Technologies (ICNLab), and Shenzhen Key Fundamental Research Projects JCYJ20160330095313861, JCYJ201704-12150946024, and JCYJ20170412151008290.
Publisher Copyright:
© 1979-2012 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Named data networking (NDN) enables fast and efficient content dissemination in mission-critical unmanned aerial vehicle ad hoc networks (UAANETs); however, its in-network caching mechanism brings a new security challenge: content poisoning. Poisoned content can contaminate the cache on the routers and isolate valid content from the network, leading to performance degradation or denial of service. To mitigate such attacks and enhance network-layer trust of NDN-based UAANETs, this article proposes a novel and systematic framework that integrates interest-key-content binding (IKCB), forwarding strategy, and on-demand verification to efficiently discover poisoned content. To further provide decentralized IKCB store and detect internal attackers, we introduce a lightweight permissioned blockchain system over NDN and develop a scalable adaptive delegate consensus algorithm. Our experimental results have demonstrated that our proposed framework can effectively purge poisoned content with low overhead, and our algorithms achieve great performance to fit UAANETs.
AB - Named data networking (NDN) enables fast and efficient content dissemination in mission-critical unmanned aerial vehicle ad hoc networks (UAANETs); however, its in-network caching mechanism brings a new security challenge: content poisoning. Poisoned content can contaminate the cache on the routers and isolate valid content from the network, leading to performance degradation or denial of service. To mitigate such attacks and enhance network-layer trust of NDN-based UAANETs, this article proposes a novel and systematic framework that integrates interest-key-content binding (IKCB), forwarding strategy, and on-demand verification to efficiently discover poisoned content. To further provide decentralized IKCB store and detect internal attackers, we introduce a lightweight permissioned blockchain system over NDN and develop a scalable adaptive delegate consensus algorithm. Our experimental results have demonstrated that our proposed framework can effectively purge poisoned content with low overhead, and our algorithms achieve great performance to fit UAANETs.
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U2 - 10.1109/MCOM.2019.1800722
DO - 10.1109/MCOM.2019.1800722
M3 - Article
AN - SCOPUS:85067609068
SN - 0163-6804
VL - 57
SP - 26
EP - 32
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 6
M1 - 8740789
ER -