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Power Analysis Attacks
Overview
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Statistics
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Claims the paper makes
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Citations
Cited by
Introduction to differential power analysis
Kocher, P., Jaffe, J., Jun, B., & Rohatgi, P. (2011) · Journal of Cryptographic Engineering · doi:10.1007/s13389-011-0006-y · Cited by 632
Application-level security for ROS-based applications
Dieber, B., Kacianka, S., Rass, S., & Schartner, P. (2016) · 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2016.7759659 · Cited by 87
Exploring the Effect of Device Aging on Static Power Analysis Attacks
Karimi, N., Moos, T., & Moradi, A. (2019) · IACR Transactions on Cryptographic Hardware and Embedded Systems · doi:10.46586/tches.v2019.i3.233-256 · Cited by 20
Metadata
- Publisher
- Springer US
- Published
- 2007
- OpenAlex
- W1607006990
- Cited by
- 1,562
- References
- 0
- FWCI
- 72.89
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Power Analysis Attacks. https://app.cochat.ai/papers/10.1007/978-0-387-38162-6
- The paper
- Power Analysis Attacks. (2007). https://doi.org/10.1007/978-0-387-38162-6
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.
