The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations
Abstract
The security issue impacting the Internet-of-Things (IoT) paradigm has recently attracted significant attention from the research community. To this end, several surveys were put forward addressing various IoT-centric topics, including intrusion detection systems, threat modeling, and emerging technologies. In contrast, in this paper, we exclusively focus on the ever-evolving IoT vulnerabilities. In this context, we initially provide a comprehensive classification of state-of-the-art surveys, which address various dimensions of the IoT paradigm. This aims at facilitating IoT research endeavors by amalgamating, comparing, and contrasting dispersed research contributions. Subsequently, we provide a unique taxonomy, which sheds the light on IoT vulnerabilities, their attack vectors, impacts on numerous security objectives, attacks which exploit such vulnerabilities, corresponding remediation methodologies and currently offered operational cyber security capabilities to infer and monitor such weaknesses. This aims at providing the reader with a multidimensional research perspective related to IoT vulnerabilities, including their technical details and consequences, which is postulated to be leveraged for remediation objectives. Additionally, motivated by the lack of empirical (and malicious) data related to the IoT paradigm, this paper also presents a first look on Internet-scale IoT exploitations by drawing upon more than 1.2 GB of macroscopic, passive measurements' data. This aims at practically highlighting the severity of the IoT problem, while providing operational situational awareness capabilities, which undoubtedly would aid in the mitigation task, at large. Insightful findings, inferences and outcomes in addition to open challenges and research problems are also disclosed in this paper, which we hope would pave the way for future research endeavors addressing theoretical and empirical aspects related to the imperative topic of IoT security.
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Citations
Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
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
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861 · cited 1×
“[26] approached the IoT from a context-aware perspective.”
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
An overview of the Internet of Things for people with disabilities
Domingo, M. C. (2012) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2011.10.015 · Cited by 638
DTLS based security and two-way authentication for the Internet of Things
Kothmayr, T., Schmitt, C., Hu, W., Brünig, M., & Carle, G. (2013) · Ad Hoc Networks · doi:10.1016/j.adhoc.2013.05.003 · Cited by 391
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
Firmware modification attacks on programmable logic controllers
Basnight, Z., Butts, J., Lopez, J., & Dube, T. (2013) · International Journal of Critical Infrastructure Protection · doi:10.1016/j.ijcip.2013.04.004 · Cited by 152
Accountability in the IoT: Systems, Law, and Ways Forward
Singh, J., Millard, C., Reed, C., Cobbe, J., & Crowcroft, J. (2018) · Computer · doi:10.1109/mc.2018.3011052 · Cited by 55
Cited by
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
Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges
Nguyen, V.-L., Lin, P.-C., Cheng, B.-C., Hwang, R.-H., & Lin, Y.-D. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3108618 · Cited by 515
Khraisat, A., & Alazab, A. (2021) · Cybersecurity · doi:10.1186/s42400-021-00077-7 · Cited by 508
IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges
Quy, V. K., Hau, N. V., Anh, D. V., Quy, N. M., Ban, N. T., Lanza, S., Randazzo, G., & Muzirafuti, A. (2022) · Applied Sciences · doi:10.3390/app12073396 · Cited by 458
Tange, K., De Donno, M., Fafoutis, X., & Dragoni, N. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3011208 · Cited by 410
Metadata
- Authors
- Neshenko, N., Bou-Harb, E., Crichigno, J., Kaddoum, G., & Ghani, N.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2019
- Volume
- 21
- Issue
- 3
- Pages
- 2702-2733
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2969468102
- Cited by
- 827
- References
- 9
- FWCI
- 52.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- Neshenko, N., Bou-Harb, E., Crichigno, J., Kaddoum, G., & Ghani, N. (2019). Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/comst.2019.2910750
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