The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures
Open accessAbstract
Wireless Sensor Networks (WSNs) constitute one of the most promising third-millennium technologies and have wide range of applications in our surrounding environment. The reason behind the vast adoption of WSNs in various applications is that they have tremendously appealing features, e.g., low production cost, low installation cost, unattended network operation, autonomous and longtime operation. WSNs have started to merge with the Internet of Things (IoT) through the introduction of Internet access capability in sensor nodes and sensing ability in Internet-connected devices. Thereby, the IoT is providing access to huge amount of data, collected by the WSNs, over the Internet. Hence, the security of IoT should start with foremost securing WSNs ahead of the other components. However, owing to the absence of a physical line-of-defense, i.e., there is no dedicated infrastructure such as gateways to watch and observe the flowing information in the network, security of WSNs along with IoT is of a big concern to the scientific community. More specifically, for the application areas in which CIA (confidentiality, integrity, availability) has prime importance, WSNs and emerging IoT technology might constitute an open avenue for the attackers. Besides, recent integration and collaboration of WSNs with IoT will open new challenges and problems in terms of security. Hence, this would be a nightmare for the individuals using these systems as well as the security administrators who are managing those networks. Therefore, a detailed review of security attacks towards WSNs and IoT, along with the techniques for prevention, detection, and mitigation of those attacks are provided in this paper. In this text, attacks are categorized and treated into mainly two parts, most or all types of attacks towards WSNs and IoT are investigated under that umbrella: “Passive Attacks” and “Active Attacks”. Understanding these attacks and their associated defense mechanisms will help paving a secure path towards the proliferation and public acceptance of IoT technology.
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Citations
Cites
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172
Douceur, J. R. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45748-8_24 · Cited by 4,419
The Constrained Application Protocol (CoAP)
Shelby, Z., Hartke, K., & Bormann, C. (2014) · doi:10.17487/rfc7252 · Cited by 2,605 · cited 1×
“CoAP Exploit: Constrained Application Protocol (CoAP) [85] is an application layer protocol designed as a replication of the HTTP for the small devices of IoT to provide communication ability with the rest of the Internet.”
MethodBlockchain for IoT security and privacy: The case study of a smart home
Dorri, A., Kanhere, S. S., Jurdak, R., & Gauravaram, P. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2017.7917634 · Cited by 1,843 · cited 1×
“For instance, authors of [178] have proposed usage of blockchain technology in security and privacy of IoT.”
BackgroundBlockchain Meets IoT: An Architecture for Scalable Access Management in IoT
Novo, O. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2812239 · Cited by 1,318 · cited 1×
“In 2008, Novo [179] proposed a new architecture for arbitrating roles and permissions in IoT.”
BackgroundA survey on LPWA technology: LoRa and NB-IoT
Sinha, R. S., Wei, Y., & Hwang, S.-H. (2017) · ICT Express · doi:10.1016/j.icte.2017.03.004 · Cited by 1,020 · cited 1×
“E.g., readers that are interested in the security of LoRaWAN can refer to following works: Butun et al. [20], [21], Eldefrawy et al. [22], Haxhibeqiri et al. [23], and Sinha et al. [24].”
BackgroundSmart Cities: Foundations, Principles, and Applications
(2017) · doi:10.1002/9781119226444 · Cited by 225 · cited 2×
“Retail IoT will increase business efficiency, drive more sales and improve customer satisfaction [54].”
Background
Cited by
Privacy-Preserved Data Sharing Towards Multiple Parties in Industrial IoTs
Zheng, X., & Cai, Z. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.2980802 · Cited by 462
Survey on Network Slicing for Internet of Things Realization in 5G Networks
Wijethilaka, S., & Liyanage, M. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3067807 · Cited by 451
Internet of Things: Security and Solutions Survey
Sadhu, P. K., Yanambaka, V. P., & Abdelgawad, A. (2022) · Sensors · doi:10.3390/s22197433 · Cited by 299
Low Earth Orbit Satellite Security and Reliability: Issues, Solutions, and the Road Ahead
Yue, P., An, J., Zhang, J., Ye, J., Pan, G., Wang, S., Xiao, P., & Hanzo, L. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3296160 · Cited by 291
Haque, A. K. M. B., Bhushan, B., & Dhiman, G. (2022) · Expert Systems · doi:10.1111/exsy.12753 · Cited by 271
Metadata
- Authors
- Butun, I., Osterberg, P., & Song, H.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2020
- Volume
- 22
- Issue
- 1
- Pages
- 616-644
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2986455874
- Cited by
- 707
- References
- 7
- FWCI
- 42.82
- Type
- journal article
- Language
- en
- Open access
- green
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