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NhatHai Phan et al.
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Keith Bonawitz et al.
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Ruhul Amin et al.
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Li Da Xu et al.
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Lightweight ECC Based RFID Authentication Integrated with an ID Verifier Transfer Protocol
Debiao He et al.
JOURNAL OF MEDICAL SYSTEMS (2014)
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RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2012)
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Ankur Bansal et al.
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