LASeR: Lightweight Authentication and Secured Routing for NDN IoT in Smart Cities

Recent literature suggests that the Internet of Things (IoT) scales much better in an information-centric networking (ICN) model instead of the current host-centric Internet protocol (IP) model. In particular, the named data networking (NDN) project (one of the ICN architecture flavors) offers featu...

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Bibliographic Details
Published in:IEEE internet of things journal 2018-04, Vol.5 (2), p.755-764
Main Authors: Mick, Travis, Tourani, Reza, Misra, Satyajayant
Format: Article
Language:English
Subjects:
Authentication
Caching
Computer simulation
Information-centric networking (ICN)
Internet of Things
Internet of Things (IoT)
IP (Internet Protocol)
Lightweight
networking
Orientations
Peer-to-peer computing
Routing
Routing protocols
Scalability
secure onboarding
secure routing
Smart cities
Weight reduction
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Summary:Recent literature suggests that the Internet of Things (IoT) scales much better in an information-centric networking (ICN) model instead of the current host-centric Internet protocol (IP) model. In particular, the named data networking (NDN) project (one of the ICN architecture flavors) offers features exploitable by IoT applications, such as stateful forwarding, in-network caching, and built-in assurance of data provenance. Though NDN-based IoT frameworks have been proposed, none have adequately and holistically addressed concerns related to secure onboarding and routing. Additionally, emerging IoT applications such as smart cities require high scalability and thus pose new challenges to NDN routing. Therefore, in this paper, we propose and evaluate a novel, scalable framework for lightweight authentication and hierarchical routing in the NDN IoT. Our ns-3 based simulation analyses demonstrate that our framework is scalable and efficient. It supports deployment densities as high as 40000 nodes/km 2 with an average onboarding convergence time of around 250 s and overhead of less than 20 kibibytes per node. This demonstrates its efficacy for emerging large-scale IoT applications such as smart cities.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2017.2725238