Information-Centric Networking Architectures and Technologies

Information-Centric Networking (ICN) represents a paradigm shift from traditional host-centric models towards a content-centric framework in which data is identified and retrieved by name rather than by location. At its core, ICN decouples content from its origin, enabling in-network caching, multicast content delivery and inherent support for mobility. Architectures such as Named Data Networking (NDN) and Content-Centric Networking (CCN) realise these principles through hierarchical naming schemes, interest-data exchange models and built-in security mechanisms that bind content to cryptographic signatures. The network substrate becomes an active participant, storing and forwarding content objects in response to consumer requests, reducing latency, alleviating server load and enhancing resilience. Emerging extensions of ICN address heterogeneous environments including the Internet of Things (IoT), vehicular networks and edge computing. In these contexts, adaptive caching strategies, name-based routing protocols and content-aware security primitives tackle challenges of scale, resource constraints and dynamic topologies. Overall, ICN architectures promise to improve content distribution efficiency, strengthen data integrity and support novel applications from smart cities to real-time multimedia streaming.

Research from Nature Portfolio

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Research from all publishers

Recent surveys have critically evaluated solutions to content poisoning attacks in NDN, comparing latency, overhead and security guarantees across proposed schemes. These analyses reveal that while signature-based validation can thwart malicious injections, trade-offs remain between verification cost and forwarding performance. Researchers advocate lightweight trust models and adaptive rejection policies to balance security and scalability in large-scale deployments.

In the realm of ICN-IoT, collaborative filtering techniques have been integrated into edge-enabled caching frameworks to tailor content placement to heterogeneous device profiles. By predicting content popularity through recommendation-style algorithms, edge nodes dynamically allocate cache resources, achieving significant improvements in hit ratio, retrieval latency and hop count. This approach highlights the synergy between artificial intelligence methods and ICN cache management for enhanced user experience in distributed environments.

Vehicular networks have also benefited from ICN principles through mobility-aware forwarding schemes. Vehicle tracking-based data delivery leverages road topology and real-time movement patterns to route content interests and data packets. Simulations demonstrate lower handover delays, higher delivery rates and reduced transmission overhead compared with standard interest flooding, illustrating the potential of name-based routing tailored to dynamic urban scenarios.

Information-Centric Networking Architectures and Technologies publication trend

The graph below shows the total number of articles in information-centric networking architectures and technologies across all publications each year (not limited to Nature Index journals).

Technical terms

Information-Centric Networking (ICN): A networking paradigm in which data is accessed and routed by name rather than by host address.

Named Data Networking (NDN): An ICN architecture implementing hierarchical naming, request-response exchanges and in-network caching.

In-network caching: The storage of content at intermediate nodes to satisfy future requests locally, reducing latency and load.

Content Poisoning Attack: A threat in which malicious data packets are injected into caches or routing paths, undermining content integrity.

Collaborative Filtering: A recommendation technique predicting user interest in content items based on collective access patterns, used here to optimise cache placement.

References

1. Mitigating content poisoning attacks in named data networking: a survey of recent solutions, limitations, challenges and future research directions. Artificial Intelligence Review (2024).
2. Information-Centric Networking: Research and Standardization Status. IEEE Access (2019).
3. Edge Caching Based on Collaborative Filtering for Heterogeneous ICN-IoT Applications. Sensors (2021).
4. Data Forwarding Scheme for Vehicle Tracking in Named Data Networking. IEEE Transactions on Vehicular Technology (2021).