Securing Fog Computing for Internet of Things Applications: Challenges and Solutions

By Jianbing Ni, Kuan Zhang, Xiaodong Lin, Xuemin Shen. IEEE Communications Surveys and Tutorials, 2018

543 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/40c9d673abb9b8095c51ca07927b0a81f645ef0d

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Citations in the corpus

Fog Computing and the Internet of Things: A Review (2018, background): “Therefore, reducing energy consumed in fog computing is an important challenge that needs to be addressed [56].”
Information-Centric Network-Based Vehicular Communications: Overview and Research Opportunities (2018, methodology): “The architecture of Edge computing is decentralized that uses network nodes to jointly execute a considerable amount of processing, data caching, and controlling [32,33].”
Offloading in Internet of Vehicles: A Fog-Enabled Real-Time Traffic Management System (2018, background): “For instance, the information about a traffic jam may be only valid for half an hour, and can merely draw attentions of vehicles that are moving toward the area where the traffic jam occurs [10].”
Vehicular Fog Computing: Enabling Real-Time Traffic Management for Smart Cities (2019, background): “The security and privacy requirements of VFC-enabled crowdsensing are discussed in [12], including the unique infrastructure and various promising applications (e.”
Anatomy of Threats to the Internet of Things (2019, background): “have distinctive features, such as decentralized infrastructure, mobility support, location awareness, and low latency [103], which make them vulnerable to various security and privacy threats [104], [105].”
Differential Privacy Techniques for Cyber Physical Systems: A Survey (2018, background): “As fog computing nodes are not completely trusted and are vulnerable to certain threats and adversaries [215].”
Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog (2019, background): “Most of research works related to the topic refer to a three-layer architecture composed of Cloud, Fog, and IoT [31], [44], [47], [52], [54].”
Hybrid SDN Networks: A Survey of Existing Approaches (2018, background): “, in mobile edge computing [78], [347]–[350] and the Internet of Things [351]–[353].”
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “The authors in [13] take a closer look at fog-assisted IoT applications, discuss security and privacy challenges in fog computing, and review and analyze promising techniques to resolve security and privacy issues in fog-assisted IoT applications.”
Security for 5G and Beyond (2019, background): “, fog computing, are much different and are highly dependent on the resource capacities and networking [399].”
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges (2018, background): “Although security and privacy issues in fog computing [42]–[44], [49]–[52] are worthwhile to investigate, in our survey, we do not consider the security”
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things (2020, background): “Fog computing offers the advantages of low latency and high computational capacity for IoT applications [17], [18].”
A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures (2019, methodology): “Since fog computing is a nontrivial extension of cloud computing, some of the issues such as security and privacy will continue to persist [120].”