The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
An overview of Fog computing and its security issues
Open accessAbstract
Summary: Fog computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage and application services to end users. In this article, we elaborate the motivation and advantages of Fog computing and analyse its applications in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks. We discuss the state of the art of Fog computing and similar work under the same umbrella. Distinguished from other reviewing work of Fog computing, this paper further discloses the security and privacy issues according to current Fog computing paradigm. As an example, we study a typical attack, man‐in‐the‐middle attack, for the discussion of system security in Fog computing. We investigate the stealthy features of this attack by examining its CPU and memory consumption on Fog device. In addition, we discuss the authentication and authorization techniques that can be used in Fog computing. An example of authentication techniques is introduced to address the security scenario where the connection between Fog and Cloud is fragile. Copyright © 2015 John Wiley & Sons, Ltd.
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The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al. (2010) · Communications of the ACM · doi:10.1145/1721654.1721672 · Cited by 9,464
Fog computing and its role in the internet of things
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012) · Proceedings of the first edition of the MCC workshop on Mobile cloud computing · doi:10.1145/2342509.2342513 · Cited by 6,244
Fuzzy Identity-Based Encryption
Sahai, A., & Waters, B. (2005) · Lecture Notes in Computer Science · doi:10.1007/11426639_27 · Cited by 4,440
Waters, B. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-19379-8_4 · Cited by 1,903
Lewko, A., Okamoto, T., Sahai, A., Takashima, K., & Waters, B. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-13190-5_4 · Cited by 1,313
Cyber security in the Smart Grid: Survey and challenges
Wang, W., & Lu, Z. (2013) · Computer Networks · doi:10.1016/j.comnet.2012.12.017 · Cited by 1,123
Finding your Way in the Fog: Towards a Comprehensive Definition of Fog Computing
Vaquero, L. M., & Rodero-Merino, L. (2014) · ACM SIGCOMM Computer Communication Review · doi:10.1145/2677046.2677052 · Cited by 1,066
Attribute-based encryption with non-monotonic access structures
Ostrovsky, R., Sahai, A., & Waters, B. (2007) · Proceedings of the 14th ACM conference on Computer and communications security · doi:10.1145/1315245.1315270 · Cited by 1,059
The Fog Computing Paradigm: Scenarios and Security Issues
Stojmenovic, I., & Wen, S. (2014) · Annals of Computer Science and Information Systems · doi:10.15439/2014f503 · Cited by 1,037
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Lim, W. Y. B., Luong, N. C., Hoang, D. T., Jiao, Y., Liang, Y.-C., Yang, Q., Niyato, D., & Miao, C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2986024 · Cited by 2,565
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Abbas, N., Zhang, Y., Taherkordi, A., & Skeie, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2750180 · Cited by 2,474
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Li, Q., Wen, Z., Wu, Z., Hu, S., Wang, N., Li, Y., Liu, X., & He, B. (2023) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2021.3124599 · Cited by 1,407
Metadata
- Authors
- Stojmenovic, I., Wen, S., Huang, X., & Luan, H.
- Venue
- Concurrency and Computation: Practice and Experience
- Publisher
- Wiley
- Published
- 2015-04-29
- Volume
- 28
- Issue
- 10
- Pages
- 2991-3005
- ISSN
- 1532-0626 (ISSN-L)
- 1532-0634
- OpenAlex
- W1904483788
- Cited by
- 408
- References
- 36
- FWCI
- 46.82
- Type
- journal article
- Language
- en
- Open access
- green
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