Security and Privacy Issues of Fog Computing: A Survey
By Shanhe Yi, Zhengrui Qin, Qun A. Li. Wireless Algorithms, Systems, and Applications, 2015
466 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/8ef4f36b597be7cf3007e72f8e7512f27e714a7e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Khaled Ben Letaief
- Jun Zhang
- Kaibin Huang
- Changsheng You
- Madhusanka Liyanage
- Yuyi Mao
- Yan Zhang
- Pawani Porambage
In Information Systems
- Javier López
- Rodrigo Roman
- Masahiro Mambo
- Yongrui Qin
- Saad Khan
- S. Parkinson
- Athanasios V. Vasilakos
- Stephan Reiff-Marganiec
Citations in the corpus
- A Survey on the Edge Computing for the Internet of Things (2018, background): “Normally, in a traditional network, the configurations input by a network administrator need to be trustworthy and validated [112].”
- Fog Computing: Platform and Applications (2015, background): “There are also work related to underlying technologies of fog computing, security and privacy, readers can refer to our previous surveys if interested [3], [15].”
- A Survey on Mobile Edge Computing: The Communication Perspective (2017, background): “reputation-based trust model will lead to severe trust threats in MEC systems, as demonstrated in [214].”
- A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things (2020, background): “However, interested readers can refer to [19], [40]–[42], [46]–[52], and [53] for related literature on the FC-assisted IoT paradigm.”
- Survey on fog computing: architecture, key technologies, applications and open issues (2017, background): “Some works have discussed the problem of authentication and trust in the fog however none of them have given a holistic solution (Yi et al., 2015c).”
- Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption (2016, background): “On the other hand, fog computing, characterized by extending cloud computing to the network edge, has become a buzzword today [22], [23].”
- Security and Privacy in Fog Computing: Challenges (2017, background): “A brief overview of fog security and privacy issues is discussed in [15] and [16].”
- An Overview of Service Placement Problem in Fog and Edge Computing (2020, background): “In recent years, the Internet of Things (IoT) becomes ingrained in our society by transforming objects of everyday life like wearable, transportation, augmented reality, etc., in communicating devices, and thus introduces new challenges and opportunities.”
- IoT security: Review, blockchain solutions, and open challenges (2017, unknown): “An analysis of security issues for fog computing is presented in [15,16].”
- A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection (2019, background): “For more details, readers can refer to some recent surveys [123], [160], [193].”
- Edge Computing for Autonomous Driving: Opportunities and Challenges (2019, methodology): “[123] summarized the method that uses the software-defined network (SDN) to solve edge network security problems, such as network monitoring and intrusion detection and network resource access control.”
- Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges (2016, methodology): “Note, however, that these edge data centers might be able to extract more sensitive information about a user thanks to their awareness of the context [14].”
- From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, methodology): “Tomitigate some of the security issues presented, strategies such as multicast authentication using Public Key Infrastructure (PKI) [65] and deployment of intrusion detection system (IDS) [4] were suggested.”
- A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications (2017, background): “[23] Survey of the new security and privacy challenges fog computing faces in addition to those same as cloud computing.”
- Security and Privacy in Smart Farming: Challenges and Opportunities (2020, background): “Extensive research on secure IoT devices [13]–[15], smart vehicles [16]–[19], drones [20], [21], edge cloud [22]–[24], wireless communication [25]–[27] is already available and might be extended to the smart farming ecosystem.”
- FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing (2018, background): “models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) closer to the IoT data sources [8].”
- All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “In [99], the authors discussed various privacy and security challenges in fog computing and surveyed the existing literature addressing these problems.”
- Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues and Challenges (2019, background): “Nonetheless, its security is a significant challenge [5], [30], [31].”