research-article

Informative counting: fine-grained batch authentication for large-scale RFID systems

Authors:

Yunhao LiuAuthors Info & Claims

MobiHoc '13: Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing

Pages 21 - 30

https://doi.org/10.1145/2491288.2491299

Published: 29 July 2013 Publication History

Abstract

Many algorithms have been introduced to deterministically authenticate Radio Frequency Identification (RFID) tags, while little work has been done to address the scalability issue in batch authentications. Deterministic approaches verify them one by one, and the communication overhead and time cost grow linearly with increasing size of tags. We design a fine-grained batch authentication scheme, INformative Counting (INC), which achieves sublinear authentication time and communication cost in batch verifications. INC also provides authentication results with accurate estimates of the number of counterfeiting tags and genuine tags, while previous batch authentication methods merely provide 0/1 results indicating the existence of counterfeits. We conduct detailed theoretical analysis and extensive experiments to examine this design and the results show that INC significantly outperforms previous work in terms of effectiveness and efficiency.

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Cited By

Blaskiewicz PDrzazga BKrzywiecki LStygar DSyga P(2022)RFID Batch Authentication—A Usable Scheme Providing AnonymityIEEE Access10.1109/ACCESS.2022.319779510(85368-85383)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3197795
Liu XChen SLiu JQu WXiao FLiu ACao JLiu J(2020)Fast and Accurate Detection of Unknown Tags for RFID Systems – Hash Collisions are DesirableIEEE/ACM Transactions on Networking10.1109/TNET.2019.295723928:1(126-139)Online publication date: Feb-2020
https://doi.org/10.1109/TNET.2019.2957239
Yao XFarha FLi RPsychoula IChen LNing H(2020)Security and privacy issues of physical objects in the IoT: challenges and opportunitiesDigital Communications and Networks10.1016/j.dcan.2020.09.001Online publication date: Sep-2020
https://doi.org/10.1016/j.dcan.2020.09.001
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Index Terms

Informative counting: fine-grained batch authentication for large-scale RFID systems
1. Networks
  1. Network architectures

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cover image ACM Conferences

MobiHoc '13: Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing

July 2013

322 pages

ISBN:9781450321938

DOI:10.1145/2491288

General Chairs:
A. Chockalingam
IISc Bangalore
,
D. Manjunath
IIT Bombay
,
Program Chairs:
Massimo Franceschetti
University of California, San Diego
,
Leandros Tassiulas
University of Thessaly

Copyright © 2013 ACM.

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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New York, NY, United States

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Published: 29 July 2013

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MobiHoc '13: The Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing

July 29 - August 1, 2013

Bangalore, India

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MobiHoc '13 Paper Acceptance Rate 42 of 234 submissions, 18%;

Overall Acceptance Rate 296 of 1,843 submissions, 16%

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Cited By

Blaskiewicz PDrzazga BKrzywiecki LStygar DSyga P(2022)RFID Batch Authentication—A Usable Scheme Providing AnonymityIEEE Access10.1109/ACCESS.2022.319779510(85368-85383)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3197795
Liu XChen SLiu JQu WXiao FLiu ACao JLiu J(2020)Fast and Accurate Detection of Unknown Tags for RFID Systems – Hash Collisions are DesirableIEEE/ACM Transactions on Networking10.1109/TNET.2019.295723928:1(126-139)Online publication date: Feb-2020
https://doi.org/10.1109/TNET.2019.2957239
Yao XFarha FLi RPsychoula IChen LNing H(2020)Security and privacy issues of physical objects in the IoT: challenges and opportunitiesDigital Communications and Networks10.1016/j.dcan.2020.09.001Online publication date: Sep-2020
https://doi.org/10.1016/j.dcan.2020.09.001
Liu XCao JYang YQu WZhao XLi KYao D(2019)Fast RFID Sensory Data CollectionIEEE/ACM Transactions on Networking10.1109/TNET.2019.291441227:3(1179-1191)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1109/TNET.2019.2914412
Xie XLiu XZhao XXue WXiao BQi HLi KWu J(2019)Implementation of Differential Tag Sampling for COTS RFID SystemsIEEE Transactions on Mobile Computing10.1109/TMC.2019.2917444(1-1)Online publication date: 2019
https://doi.org/10.1109/TMC.2019.2917444
Li BLiu WWang L(2019)Efficient and Lightweight Batch Authentication for Large-Scale RFID SystemsIEEE Wireless Communications Letters10.1109/LWC.2019.29152328:4(1272-1275)Online publication date: Aug-2019
https://doi.org/10.1109/LWC.2019.2915232
Liu XXie XZhao XWang KLi KLiu AGuo SWu J(2018)Fast Identification of Blocked RFID TagsIEEE Transactions on Mobile Computing10.1109/TMC.2018.279321917:9(2041-2054)Online publication date: 1-Sep-2018
https://doi.org/10.1109/TMC.2018.2793219
Liu XGuo KLiu ZZhou XQi HXue W(2018)Fast and Accurate Missing Tag Detection for Multi-category RFID Systems2018 IEEE International Conference on Smart Internet of Things (SmartIoT)10.1109/SmartIoT.2018.00-12(135-142)Online publication date: Aug-2018
https://doi.org/10.1109/SmartIoT.2018.00-12
Liu XLi KGuo SLiu ALi PWang KWu JXiulong Liu Keqiu Li Song Guo Liu APeng Li Kun Wang Jie Wu (2017)Top- $k$ Queries for Categorized RFID SystemsIEEE/ACM Transactions on Networking10.1109/TNET.2017.272248025:5(2587-2600)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1109/TNET.2017.2722480
Liu XXiao BLi KLiu AWu JXie XQi H(2017)RFID Estimation With Blocker TagsIEEE/ACM Transactions on Networking10.1109/TNET.2016.259557125:1(224-237)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1109/TNET.2016.2595571
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