We present a dynamic key generation method, KeyQ, for establishing shared secret keys in EPCglobal Generation 2 (Gen2) compliant systems. Widespread adoption of Gen2 technologies has increased the need for protecting communications in these systems. The highly constrained resources on Gen2 tags limit the usability of traditional key distribution techniques. Dynamic key generation provides a secure method to protect communications with limited key distribution requirements. Our KeyQ method dynamically generates fresh secret keys based on the Gen2 adaptive Q algorithm. We show that the KeyQ method generates fresh and unique secret keys that cannot be predicted with probability greater than 10-250 when the number of tags exceeds 100.
You Sung KANG
KAIST
Dong-Jo PARK
KAIST
Daniel W. ENGELS
SMU
Dooho CHOI
ETRI
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You Sung KANG, Dong-Jo PARK, Daniel W. ENGELS, Dooho CHOI, "KeyQ: A Dynamic Key Establishment Method Using an RFID Anti-Collision Protocol" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 12, pp. 2662-2666, December 2014, doi: 10.1587/transfun.E97.A.2662.
Abstract: We present a dynamic key generation method, KeyQ, for establishing shared secret keys in EPCglobal Generation 2 (Gen2) compliant systems. Widespread adoption of Gen2 technologies has increased the need for protecting communications in these systems. The highly constrained resources on Gen2 tags limit the usability of traditional key distribution techniques. Dynamic key generation provides a secure method to protect communications with limited key distribution requirements. Our KeyQ method dynamically generates fresh secret keys based on the Gen2 adaptive Q algorithm. We show that the KeyQ method generates fresh and unique secret keys that cannot be predicted with probability greater than 10-250 when the number of tags exceeds 100.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.2662/_p
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@ARTICLE{e97-a_12_2662,
author={You Sung KANG, Dong-Jo PARK, Daniel W. ENGELS, Dooho CHOI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={KeyQ: A Dynamic Key Establishment Method Using an RFID Anti-Collision Protocol},
year={2014},
volume={E97-A},
number={12},
pages={2662-2666},
abstract={We present a dynamic key generation method, KeyQ, for establishing shared secret keys in EPCglobal Generation 2 (Gen2) compliant systems. Widespread adoption of Gen2 technologies has increased the need for protecting communications in these systems. The highly constrained resources on Gen2 tags limit the usability of traditional key distribution techniques. Dynamic key generation provides a secure method to protect communications with limited key distribution requirements. Our KeyQ method dynamically generates fresh secret keys based on the Gen2 adaptive Q algorithm. We show that the KeyQ method generates fresh and unique secret keys that cannot be predicted with probability greater than 10-250 when the number of tags exceeds 100.},
keywords={},
doi={10.1587/transfun.E97.A.2662},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - KeyQ: A Dynamic Key Establishment Method Using an RFID Anti-Collision Protocol
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2662
EP - 2666
AU - You Sung KANG
AU - Dong-Jo PARK
AU - Daniel W. ENGELS
AU - Dooho CHOI
PY - 2014
DO - 10.1587/transfun.E97.A.2662
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2014
AB - We present a dynamic key generation method, KeyQ, for establishing shared secret keys in EPCglobal Generation 2 (Gen2) compliant systems. Widespread adoption of Gen2 technologies has increased the need for protecting communications in these systems. The highly constrained resources on Gen2 tags limit the usability of traditional key distribution techniques. Dynamic key generation provides a secure method to protect communications with limited key distribution requirements. Our KeyQ method dynamically generates fresh secret keys based on the Gen2 adaptive Q algorithm. We show that the KeyQ method generates fresh and unique secret keys that cannot be predicted with probability greater than 10-250 when the number of tags exceeds 100.
ER -