The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Security and privacy challenges in industrial internet of things
Abstract
Today, embedded, mobile, and cyberphysical systems are ubiquitous and used in many applications, from industrial control systems, modern vehicles, to critical infrastructure. Current trends and initiatives, such as "Industrie 4.0" and Internet of Things (IoT), promise innovative business models and novel user experiences through strong connectivity and effective use of next generation of embedded devices. These systems generate, process, and exchange vast amounts of security-critical and privacy-sensitive data, which makes them attractive targets of attacks. Cyberattacks on IoT systems are very critical since they may cause physical damage and even threaten human lives. The complexity of these systems and the potential impact of cyberattacks bring upon new threats.
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Citations
Cites
Internet of things: Vision, applications and research challenges
Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012) · Ad Hoc Networks · doi:10.1016/j.adhoc.2012.02.016 · Cited by 3,578
Experimental Security Analysis of a Modern Automobile
Koscher, K., Czeskis, A., Roesner, F., Patel, S., Kohno, T., Checkoway, S., McCoy, D., Kantor, B., Anderson, D., Shacham, H., et al. (2010) · 2010 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2010.34 · Cited by 1,849
(2011) · Cited by 1,423
Rifkin, J. (2011) · Cited by 1,321
Innovative instructions and software model for isolated execution
McKeen, F., Alexandrovich, I., Berenzon, A., Rozas, C. V., Shafi, H., Shanbhogue, V., & Savagaonkar, U. R. (2013) · Proceedings of the 2nd International Workshop on Hardware and Architectural Support for Security and Privacy · doi:10.1145/2487726.2488368 · Cited by 1,095
Security in the Internet of Things: A Review
Suo, H., Wan, J., Zou, C., & Liu, J. (2012) · 2012 International Conference on Computer Science and Electronics Engineering · doi:10.1109/iccsee.2012.373 · Cited by 777
SWATT: software-based attestation for embedded devices
Seshadri, A., Perrig, A., van Doorn, L., & Khosla, P. (2004) · IEEE Symposium on Security and Privacy, 2004. Proceedings. 2004 · doi:10.1109/secpri.2004.1301329 · Cited by 704
A Survey on the Internet of Things Security
Zhao, K., & Ge, L. (2013) · 2013 Ninth International Conference on Computational Intelligence and Security · doi:10.1109/cis.2013.145 · Cited by 691
A Primer on Hardware Security: Models, Methods, and Metrics
Rostami, M., Koushanfar, F., & Karri, R. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2335155 · Cited by 658
SmartFactory—Towards a factory-of-things
Zuehlke, D. (2010) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2010.02.008 · Cited by 645
Cited by
Industrial Internet of Things: Challenges, Opportunities, and Directions
Sisinni, E., Saifullah, A., Han, S., Jennehag, U., & Gidlund, M. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2852491 · Cited by 2,380
Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0
Müller, J. M., Buliga, O., & Voigt, K.-I. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.12.019 · Cited by 1,262
IoT Privacy and Security: Challenges and Solutions
Tawalbeh, L., Muheidat, F., Tawalbeh, M., & Quwaider, M. (2020) · Applied Sciences · doi:10.3390/app10124102 · Cited by 764
A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective
Xu, H., Yu, W., Griffith, D., & Golmie, N. (2018) · IEEE Access · doi:10.1109/access.2018.2884906 · Cited by 637
Diez-Olivan, A., Del Ser, J., Galar, D., & Sierra, B. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.10.005 · Cited by 633
Metadata
- Authors
- Sadeghi, A.-R., Wachsmann, C., & Waidner, M.
- Venue
- Proceedings of the 52nd Annual Design Automation Conference
- Publisher
- ACM
- Published
- 2015-06-07
- Pages
- 1-6
- ISSN
- 0738-100X (ISSN-L)
- OpenAlex
- W2065955975
- Cited by
- 916
- References
- 57
- FWCI
- 57.67
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Sadeghi, A.-R., Wachsmann, C., & Waidner, M. (2015). Security and privacy challenges in industrial internet of things. Proceedings of the 52nd Annual Design Automation Conference. https://doi.org/10.1145/2744769.2747942
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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