The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices
Abstract
The Internet of Things (IoT) is rapidly spreading, reaching a multitude of different domains, including personal health care, environmental monitoring, home automation, smart mobility, and Industry 4.0. As a consequence, more and more IoT devices are being deployed in a variety of public and private environments, progressively becoming common objects of everyday life. It is hence apparent that, in such a scenario, cybersecurity becomes critical to avoid threats like leakage of sensible information, denial of service (DoS) attacks, unauthorized network access, and so on. Unfortunately, many low-end IoT commercial products do not usually support strong security mechanisms, and can hence be target of-or even means for-a number of security attacks. The aim of this article is to provide a broad overview of the security risks in the IoT sector and to discuss some possible counteractions. To this end, after a general introduction to security in the IoT domain, we discuss the specific security mechanisms adopted by the most popular IoT communication protocols. Then, we report and analyze some of the attacks against real IoT devices reported in the literature, in order to point out the current security weaknesses of commercial IoT solutions and remark the importance of considering security as an integral part in the design of IoT systems. We conclude this article with a reasoned comparison of the considered IoT technologies with respect to a set of qualifying security attributes, namely integrity, anonymity, confidentiality, privacy, access control, authentication, authorization, resilience, self organization.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A public key cryptosystem and a signature scheme based on discrete logarithms
Elgamal, T. (1985) · IEEE Transactions on Information Theory · doi:10.1109/tit.1985.1057074 · Cited by 8,059
The Constrained Application Protocol (CoAP)
Shelby, Z., Hartke, K., & Bormann, C. (2014) · doi:10.17487/rfc7252 · Cited by 2,605
Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology
Gomez, C., Oller, J., & Paradells, J. (2012) · Sensors · doi:10.3390/s120911734 · Cited by 967
Recommendation for block cipher modes of operation: methods and techniques
Dworkin, M. J. (2001) · doi:10.6028/nist.sp.800-38a · Cited by 746
Cited by
Tange, K., De Donno, M., Fafoutis, X., & Dragoni, N. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3011208 · Cited by 410
“In [11], the authors survey the literature for real IoT attacks and present a taxonomy.”
BackgroundRole of Artificial Intelligence in the Internet of Things (IoT) cybersecurity
Kuzlu, M., Fair, C., & Guler, O. (2021) · Discover Internet of Things · doi:10.1007/s43926-020-00001-4 · Cited by 259
Consumer, Commercial, and Industrial IoT (In)Security: Attack Taxonomy and Case Studies
Xenofontos, C., Zografopoulos, I., Konstantinou, C., Jolfaei, A., Khan, M. K., & Choo, K.-K. R. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3079916 · Cited by 183
Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach
Galeano-Brajones, J., Carmona-Murillo, J., Valenzuela-Valdés, J. F., & Luna-Valero, F. (2020) · Sensors · doi:10.3390/s20030816 · Cited by 165
Metadata
- Authors
- Meneghello, F., Calore, M., Zucchetto, D., Polese, M., & Zanella, A.
- Venue
- IEEE Internet of Things Journal
- Published
- 2019-10
- Volume
- 6
- Issue
- 5
- Pages
- 8182-8201
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W2968774960
- Cited by
- 799
- References
- 4
- FWCI
- 51.50
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices. https://app.cochat.ai/papers/10.1109/jiot.2019.2935189
- The paper
- Meneghello, F., Calore, M., Zucchetto, D., Polese, M., & Zanella, A. (2019). IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2019.2935189
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.