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Information-centric networking (ICN) supports efficient data provision and retrieval with in-network caching. The data life cycle over ICN includes atomic data collection, data publication, caching, and retrieval, suffering from various attacks, such as regulation violation and false claim. Existing solutions have not considered regulation compliance and typically focus on the protection of a specific procedure. To solve these problems, we propose a blockchain-based data life cycle protection framework (BDLP), which exploits the transaction and smart contract to provide a trusted and neutral environment in ICN. In BDLP, a special type of node, a data dam blockchain node, is designed to locally control registration and restrict data flow, besides the function of a blockchain node. BDLP consists of five types of transactions (RegT, CollectT, PubT, PayT, and PunT) to achieve accountability and four types of smart contracts (PubSC, PaySC, AccSC, and RepSC) to achieve authentication, regulation compliance, and neutrality. We elaborate on the data retrieval procedure in BDLP and analyze its scalability, demonstrating that BDLP can achieve a low data retrieval permission delay.

The selected articles cover topics including security mechanisms overview for named data networking (NDN), security for an edge named function environment, secure NDN with attribute- based cryptography and software-defined networking (SDN), content protection for NDN, and the design of a security monitoring plane in NDN. Over the last few decades, the sum of all forms of video data has grown explosively and is expected to reach 90 percent of all Internet traffic in the near future. Meanwhile, new applications, such as the Internet of Things (IoT), augmented reality, and automatic driving, are emerging as the major trends for the next evolution of the digital society, resulting in the generation and sharing of vast amounts of data. The existing Internet-based technologies, such as peer-to-peer networks, content distribution networks, and cloud computing, will be unable to handle such large amounts of data and provide the necessary quality of service (QoS) to the applications. In this context, information-centric networking (ICN), characterized by name-based data retrieval and in-network data caching, has emerged as a promising candidate for future networks. It provides access to named data as first-order network service, providing a built-in mechanism for data provenance and greater potential for optimizing forwarding behavior compared to the traditional host-centric communication systems — the Internet today.