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What is Fog Node

Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization
It signifies a physical device that provides an aid in deployment of fog computing.
Published in Chapter:
Security Challenges in Fog Computing
Anshu Devi (Kurukshetra University, India), Ramesh Kait (Kurukshetra University, India), and Virender Ranga (National Institute of Technology Kurukshetra, India)
DOI: 10.4018/978-1-5225-7335-7.ch008
Abstract
Fog computing is a term coined by networking giant Cisco. It is a new paradigm that extends the cloud computing model by conferring computation, storage, and application services at the periphery of networks. Fog computing is a gifted paradigm of cloud computing that facilitates the mobility, portability, heterogeneity, and processing of voluminous data. These distinct features of fog help to reduce latency and make it suitable for location-sensitive applications. Fog computing features raise new security concerns and challenges. The existing cloud security has not been implemented directly due to mobility, heterogeneity of fog nodes. As we know, IoT has to process large amount of data quickly; therefore, it has various functionality-driven applications that escalate security concerns. The primary aim of this chapter is to present the most recent security aspects such as authentication and trust, reputation-based trust model, rogue fog node and authentication at different level, security threats, challenges, and also highlights the future aspects of fog.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
IoT Big Data Architectures, Approaches, and Challenges: A Fog-Cloud Approach
Component of the fog computing infrastructure. Edge device networks (e.g. gateways) which, in addition to simple network function, have storage and processing capabilities. Due to this fact, a fog node can perform data preprocessing and part of the cloud computing processing close to the devices within the IoT system, thus enabling a faster response to events than the cloud paradigm.
Full Text Chapter Download: US $37.50 Add to Cart
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