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Volumn 43, Issue 1, 2008, Pages 69-77

A Digital 1.6 pJ/bit Chip Identification Circuit Using Process Variations

Author keywords

Chip identification; low power digital electronics; mismatch; process variations; RFID; sensor networks

Indexed keywords


EID: 85008008223     PISSN: 00189200     EISSN: 1558173X     Source Type: Journal    
DOI: 10.1109/JSSC.2007.910961     Document Type: Article
Times cited : (233)

References (6)
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    • Feed forward test methodology utilizing device identification
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    • Cabbibo, A.1
  • 3
    • 31144476821 scopus 로고    scopus 로고
    • Extracting secret keys from integrated circuits
    • Oct.
    • D. Lim et al., “Extracting secret keys from integrated circuits,” IEEE Trans. Very Large Integr. (VLSI) Syst., vol. 13, no. 10, pp. 1200–1205, Oct. 2005.
    • (2005) IEEE Trans. Very Large Integr. (VLSI) Syst. , vol.13 , Issue.10 , pp. 1200-1205
    • Lim, D.1
  • 4
    • 33846922353 scopus 로고    scopus 로고
    • Chip identification using characteristic dispersion of transistor
    • Dec.
    • J. Hirase and T. Furukawa, “Chip identification using characteristic dispersion of transistor,” in Proc. 14th Asian Test Symp., Dec. 2005, pp. 188–193.
    • (2005) Proc. 14th Asian Test Symp. , pp. 188-193
    • Hirase, J.1    Furukawa, T.2
  • 5
    • 0024754187 scopus 로고
    • Matching properties of MOS transistors
    • Oct.
    • M. Pelgrom, A. Duinmaijer, and A. Welbers, “Matching properties of MOS transistors,” IEEE J. Solid-State Circuits, vol. 24, no. 10, pp. 1433–1440, Oct. 1989.
    • (1989) IEEE J. Solid-State Circuits , vol.24 , Issue.10 , pp. 1433-1440
    • Pelgrom, M.1    Duinmaijer, A.2    Welbers, A.3
  • 6
    • 84930025507 scopus 로고    scopus 로고
    • ICID–A robust, low cost integrated circuit identification method, ver. 0.9
    • Mar. [Online]. Available
    • K. Lofstrom, “ICID–A robust, low cost integrated circuit identification method, ver. 0.9,” KLIC, Mar. 2007 [Online]. Available: http://www.kl-ic.com/white9.pdf
    • (2007)
    • Lofstrom, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.