Abstract
Fraud (swindling money, property, or authority by fictionizing, counterfeiting, forging, or imitating things, or by feigning persons privately) forms its threats against public security and network security. Anti-fraud is essentially the identification of a person or thing. In this paper, the authors first propose the concept of idology - a systematic and scientific study of identifications of persons and things, and give the definitions of a symmetric identity and an asymmetric identity. Discuss the converting symmetric identities (e.g., fingerprints) to asymmetric identities. Make a comparison between a symmetric identity and an asymmetric identity, and emphasize that symmetric identities cannot guard against inside jobs. Compare asymmetric RFIDs with BFIDs, and point out that a BFID is lightweight, economical, convenient, and environmentalistic, and more suitable for the anti-counterfeit and source tracing of consumable merchandise such as food, drugs, and cosmetics. The authors design the structure of a united verification platform for BFIDs and the composition of an identification system, and discuss the wide applications of BFIDs in public security and network security - antiterrorism and dynamic passwords for example.
This work is supported by MOST with Project 2007CB311100 and 2009AA01Z441.
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Acknowledgment
The authors would like to thank the Acad. Jiren Cai, Acad. Zhongyi Zhou, Acad. Changxiang Shen, Acad. Zhengyao Wei, Acad. Binxing Fang, Acad. Guangnan Ni, Acad. Andrew C. Yao, Acad. Jinpeng Huai, Acad. Wen Gao, Prof. Jie Wang, Rese. Hanliang Xu, Rese. Dengguo Feng, Rese. Dali Liu, Rese. Qiquan Guo, Rese. Rui Yu, Prof. Zhiying Wang, Prof. Ron Rivest, Prof. Moti Yung, Prof. Dingzhu Du, Acad. Xiangke Liao, Acad. Wenhua Ding, Prof. Huaimin Wang, Prof. Jianfeng Ma, Prof. Heyan Huang, Prof. Zhong Chen, Prof. Jiwu Jing, Prof. Gongxuan Zhang, Prof. Yixian Yang, Prof. Maozhi Xu, Prof. Bing Chen, Prof. Xuejia Lai, Prof. Yongfei Han, Prof. Yupu Hu, Prof. Ping Luo, Acad. Wei Li, Acad. Xicheng Lu, Prof. Dingyi Pei, Prof. Huanguo Zhang, Prof. Mulan Liu, Prof. Bogang Lin, Prof. Renji Tao, Prof. Quanyuan Wu, and Prof. Zhichang Qi for their important suggestions, corrections, and helps.
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Su, S., Zheng, J., Lü, S., Huang, Z., Li, Z., Tang, Z. (2017). Idology and Its Applications in Public Security and Network Security. In: Wang, G., Chau, M., Chen, H. (eds) Intelligence and Security Informatics. PAISI 2017. Lecture Notes in Computer Science(), vol 10241. Springer, Cham. https://doi.org/10.1007/978-3-319-57463-9_9
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