Microelectronic Encapsulant Material Assessment: A Security Point of View

Xi, Chengjie; Nathan, Jessurun; Asadizanjani, Navid

doi:10.1109/eptc53413.2021.9663874

Cited by 3 publications

(1 citation statement)

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“…Regarding hardware assurance, the changes in material and structural properties due to aging can serve as unique identifiers or 'fingerprints' for the authentication of IC components. 6 Different fabrication processes, storage conditions, and usage histories induce distinct changes in EMC material properties. Consequently, these variations can be analyzed to distinguish authentic components from counterfeit ones.…”

Section: Introductionmentioning

confidence: 99%

THz-TDS for IC packaging material changes detection under real-world conditions

Xi,

Varshney,

Khan

et al. 2024

Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XVII

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Hardware security has been a significant challenge in semiconductor devices, leading to serious issues such as denial of service, data leakage etc at both transistor as well as package level. Detecting the usage state of a target semiconductor sample or generating a unique fingerprint can provide critical information about the sample, aiding in the prevention of counterfeiting to avoid hardware security risks. Terahertz Time-Domain Spectroscopy (THz-TDS) stands out as a powerful and non-destructive tool, capable of probing and analyzing the polymer materials. Its sensitivity to molecular-level changes makes THz-TDS suitable for studying the material, structural, and stress properties of IC packaging under real-world conditions. This research begins by reviewing the composition of Electronic Material Compatibility (EMC) materials and their variance under real-world conditions. Furthermore, the application of THz-TDS for polymer material characterization, which incloudes material, structural, and internal stress characterization, is also thoroughly reviewed. By combining these factors, we explore the potential and capability of using THz-TDS to detect real-world loaded samples and the feasibility of generating fingerprints for identifying counterfeit samples, including reused, recycled, or tampered ones.

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Section: Introductionmentioning

confidence: 99%