Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/120544
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dc.contributorDepartment of Computingen_US
dc.creatorJiang, Qen_US
dc.creatorLong, Yen_US
dc.creatorZhang, Yen_US
dc.creatorYan, Cen_US
dc.creatorJi, Xen_US
dc.creatorLuo, Xen_US
dc.creatorFu, Ken_US
dc.creatorCao, Jen_US
dc.creatorXu, Wen_US
dc.date.accessioned2026-08-18T08:43:21Z-
dc.date.available2026-08-18T08:43:21Z-
dc.identifier.isbn978-1-939133-58-8en_US
dc.identifier.urihttp://hdl.handle.net/10397/120544-
dc.description35th USENIX Security Symposium, August 12-14, 2026, Baltimore, MD, USAen_US
dc.language.isoenen_US
dc.publisherUSENIX Associationen_US
dc.rightsPosted with the permission of the author.en_US
dc.titleSoK : security of cyber-physical systems under intentional electromagnetic interference attacksen_US
dc.typeConference Paperen_US
dc.identifier.spage3479en_US
dc.identifier.epage3498en_US
dcterms.abstractFalsifying electrical signals in computer systems—the gateway between the physical and digital worlds—intentional electromagnetic interference (IEMI) attacks have become increasingly pervasive and damaging to cyber-physical systems due to their ability to disrupt or control a wide range of safety- and security-critical applications. Existing studies of IEMI attacks are often highly device-specific and exploit disparate, insufficiently compared attack vectors. The absence of a unified, model-based understanding of IEMI vulnerabilities hinders both transferable security assessments and effective cross-disciplinary collaboration toward deployable protections. To address this gap, this work analyzes over 80 instances of IEMI attacks and defenses to provide an analytical framework that models how adversaries achieve IEMI coupling and sample manipulation to inject malicious electromagnetic energy that alters hardware behavior and impacts software execution. The primary goal is to move the field beyond exhaustive empirical discovery of vulnerable instances and toward in-depth theoretical analysis and proactive defense strategies applicable to both existing and future cyber-physical systems. In addition to identifying gaps in current IEMI attack and defense research, this work outlines important directions for future work tailored to the needs and roles of different stakeholder communities. To foster future research on IEMI attacks, we are releasing and maintaining an open-source IEMI research database at https://iemi-research-database.github.io/.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn Proceedings of the 35th USENIX Security Symposium: August 12-14, 2026, Baltimore, MD, USA, p. 3479-3498en_US
dcterms.issued2026-
dc.relation.ispartofbookProceedings of the 35th USENIX Security Symposium: August 12-14, 2026, Baltimore, MD, USAen_US
dc.description.validate202608 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera4594-
dc.identifier.SubFormID53291-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextWe sincerely thank all anonymous reviewers and shepherds for their constructive feedback. This work was supported in part by the HK RGC Theme-based Research Scheme (No. T43-513/23-N), HK RGC General Research Fund (No. PolyU-15235424), China NSFC Grant (No. 62201503 and No. U25B2001), Guangdong Provincial Key Lab of Integrated Communication, Sensing, and Computation for Ubiquitous Internet of Things (No. 2023B1212010007), and Research Institute for Artificial Intelligence of Things, The Hong Kong Polytechnic University. Fu’s participation reflects only academic collaboration on this manuscript; no funds, materials, equipment, or non-public scientific or technical information were provided to or received from any co-author’s institution in connection with this work. The opinions, findings, and conclusions expressed in this paper are those of the authors and do not necessarily reflect those of the supporting organizations.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCopyright retained by authoren_US
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