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Cited by 470

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Security and Privacy for Implantable Medical Devices

Halperin, Daniel, Heydt-Benjamin, Thomas S., Fu, Kevin, Kohno, Tadayoshi, Maisel, William H.·2008·IEEE Pervasive Computing

Abstract

Protecting implantable medical devices against attack without compromising patient health requires balancing security and privacy goals with traditional goals such as safety and utility. Implantable medical devices monitor and treat physiological conditions within the body. These devices - including pacemakers, implantable cardiac defibrillators (ICDs), drug delivery systems, and neurostimulators - can help manage a broad range of ailments, such as cardiac arrhythmia, diabetes, and Parkinson's disease. IMDs' pervasiveness continues to swell, with upward of 25 million US citizens currently reliant on them for life-critical functions. Growth is spurred by geriatric care of the aging baby-boomer generation, and new therapies continually emerge for chronic conditions ranging from pediatric type 1 diabetes to anorgasmia and other sexual dysfunctions. Moreover, the latest IMDs support delivery of telemetry for remote monitoring over long-range, high-bandwidth wireless links, and emerging devices will communicate with other interoperating IMDs.

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Metadata

Authors
Halperin, D., Heydt-Benjamin, T. S., Fu, K., Kohno, T., & Maisel, W. H.
Venue
IEEE Pervasive Computing
Published
2008-01
Volume
7
Issue
1
Pages
30-39
ISSN
1536-1268 (ISSN-L)
OpenAlex
W2024296478
Cited by
470
References
2
FWCI
17.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Security and Privacy for Implantable Medical Devices. https://app.cochat.ai/papers/10.1109/mprv.2008.16
The paper
Halperin, D., Heydt-Benjamin, T. S., Fu, K., Kohno, T., & Maisel, W. H. (2008). Security and Privacy for Implantable Medical Devices. IEEE Pervasive Computing. https://doi.org/10.1109/mprv.2008.16

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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.