IEEE Communications Magazine（https://www.comsoc.org/publications/magazines/ieee-communications-magazine）是通信领域的顶级刊物，涵盖通信的各个方面，提供该领域最新的信息，被中科院评定为SCI 1区期刊，最新的影响因子（IF）为9.270。
16级同学章奇超，在实验室雷凯老师和ASU的徐快老师的指导下，完成一篇论文“Securing ICN-Based UAV Ad Hoc Networks with Blockchain”，并已确认被IEEE Communications Magazine杂志下THE QUEST FOR INFORMATION-CENTRIC NETWORKING专题录用。中稿论文的简介如下：
标题：Securing ICN-Based UAV Ad Hoc Networks with Blockchain
作者：Kai Lei, Qichao Zhang, Junjun Lou, Bo Bai, and Kuai Xu*
英文摘要：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.
中文简介： 命名数据网络（NDN）可在任务关键型无人机自组织网络（UAANETs）中实现快速有效的内容分发，但是，其网内缓存机制带来了新的安全挑战：内容中毒。中毒内容可能会污染路由器上的缓存并将真实的内容与网络隔离，从而导致网络性能下降或拒绝服务。为了避免这种攻击并增强基于NDN的UAANETs的网络层信任，本文提出了一种新颖的系统框架，它集成了兴趣密钥内容绑定（IKCB），转发策略和按需验证，以便有效地发现有毒内容。为了进一步提供分散的IKCB存储和检测内部攻击者，我们在NDN上引入了一个轻量级的许可区块链系统，并开发了一个可扩展的自适应代理一致性算法。我们的实验结果表明，我们提出的框架能够以较低的开销有效地清除中毒内容，并且我们的算法为UAANETs提供了很好的性能。