The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved
Open accessAbstract
Internet of Things (IoT) is an increasingly popular technology that enables physical devices, vehicles, home appliances, etc., to communicate and even inter operate with one another. It has been widely used in industrial production and social applications including smart home, healthcare, and industrial automation. While bringing unprecedented convenience, accessibility, and efficiency, IoT has caused acute security and privacy threats in recent years. There are increasing research works to ease these threats, but many problems remain open. To better understand the essential reasons of new IoT threats and the challenges in current research, this survey first proposes the concept of “IoT features.” Then, we discuss the security and privacy effects of eight IoT features including the threats they cause, existing solutions to threats and research challenges yet to be solved. To help researchers follow the up-to-date works in this field, this paper finally illustrates the developing trend of IoT security research and reveals how IoT features affect existing security research by investigating most existing research works related to IoT security from 2013 to 2017.
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Citations
Cites
Low-Energy Security: Limits and Opportunities in the Internet of Things
Trappe, W., Howard, R., & Moore, R. S. (2015) · IEEE Security & Privacy · doi:10.1109/msp.2015.7 · Cited by 246
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A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Al-Garadi, M. A., Mohamed, A., Al-Ali, A. K., Du, X., Ali, I., & Guizani, M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2988293 · Cited by 1,392
Federated-Learning-Based Anomaly Detection for IoT Security Attacks
Mothukuri, V., Khare, P., Parizi, R. M., Pouriyeh, S., Dehghantanha, A., & Srivastava, G. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3077803 · Cited by 722
Machine learning based solutions for security of Internet of Things (IoT): A survey
Tahsien, S. M., Karimipour, H., & Spachos, P. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102630 · Cited by 470
Asharf, J., Moustafa, N., Khurshid, H., Debie, E., Haider, W., & Wahab, A. (2020) · Electronics · doi:10.3390/electronics9071177 · Cited by 378
Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges
Yaqoob, I., Hashem, I. A. T., Ahmed, A., Kazmi, S. M. A., & Hong, C. S. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.09.058 · Cited by 322
Metadata
- Authors
- Zhou, W., Jia, Y., Peng, A., Zhang, Y., & Liu, P.
- Venue
- IEEE Internet of Things Journal
- Published
- 2019-04
- Volume
- 6
- Issue
- 2
- Pages
- 1606-1616
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W2785446263
- Cited by
- 526
- References
- 1
- FWCI
- 31.43
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Zhou, W., Jia, Y., Peng, A., Zhang, Y., & Liu, P. (2019). The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2018.2847733
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