基于特征距离切尾均值的新型指纹密钥生成方法

doi:10.11959/j.issn.2096-109x.2023073

Abstract

Abstract:

In recent years, biometrics has become widely adopted in access control systems, effectively resolving the challenges associated with password management in identity authentication.However, traditional biometric-based authentication methods often lead to the loss or leakage of users’ biometric data, compromising the reliability of biometric authentication.In the literature, two primary technical approaches have been proposed to address these issues.The first approach involves processing the extracted biometric data in a way that the authentication information used in the final stage or stored in the database does not contain the original biometric data.The second approach entails writing the biometric data onto a smart card and utilizing the smart card to generate the private key for public key cryptography.To address the challenge of constructing the private key of a public key cryptosystem based on fingerprint data without relying on a smart card, a detailed study was conducted on the stable feature points and stable feature distances of fingerprints.This study involved the extraction and analysis of fingerprint minutiae.Calculation methods were presented for sets of stable feature points, sets of equidistant stable feature points, sets of key feature points, and sets of truncated means.Based on the feature distance truncated mean, an original fingerprint key generation algorithm and key update strategy were proposed.This scheme enables the reconstruction of the fingerprint key through re-collecting fingerprints, without the need for direct storage of the key.The revocation and update of the fingerprint key were achieved through a salted hash function, which solved the problem of converting ambiguous fingerprint data into precise key data.Experiments prove that the probability of successfully reconstructing the fingerprint key by re-collecting fingerprints ten times is 0.7354, and the probability of reconstructing the fingerprint key by re-collecting fingerprints sixty times is 98.06%.

Key words: biometric, fingerprint features points, stable features points, trimmed mean, fingerprint key

CLC Number:

TP39

Zhongtian JIA, Qinglong QIN, Li MA, Lizhi PENG. Novel fingerprint key generation method based on the trimmed mean of feature distance[J]. Chinese Journal of Network and Information Security, 2023, 9(5): 178-187.

Figures/Tables 7

References 29

[1]	LAMPORT L . Password authentication with insecure communication[J]. Communications of the ACM, 1981,24(11): 770-772.
[2]	JAIN A , ROSS A , PRABHAKAR S . An introduction to biometric recognition[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2004,14(1): 4-20.
[3]	JAIN A , HONG L , PANKANTI S . Biometric identification[J]. Communications of the ACM, 2000,43(2): 90-98.
[4]	RUI Z , YAN Z . A survey on biometric authentication:toward secure and privacy-preserving identification[J]. IEEE Access, 2018,7: 5994-6009.
[5]	SABHANAYAGAM T , VENKATESAN V P , SENTHAMARAK . A comprehensive survey on various biometric systems[J]. International Journal of Applied Engineering Research, 2018,13(5): 2276-2297.
[6]	RIAZ N , RIAZ A , KHAN S A . Biometric template security:an overview[J]. Sensor Review, 2017,38(1): 120-127.
[7]	SARKAR A , SINGH B K . A review on performance,security and various biometric template protection schemes for biometric authentication systems[J]. Multimedia Tools and Applications, 2020,79(37): 27721-27776.
[8]	KHOLMATOV A , YANIKOGLU B . Identity authentication using improved online signature verification method[J]. Pattern Recognition Letters, 2005,26(15): 2400-2408.
[9]	PRABHAKAR S , PANKANTI S , JAIN A . Biometric recognition:security and privacy concerns[J]. IEEE Security ＆Privacy. 2003,1(2): 33-42.
[10]	RATHA NK , CONNELL J , BOLLE R . An analysis of minutiae matching strength[C]// International Conference on Audio and Video-Based Biometric Person Authentication. 2001: 223-228.
[11]	TOMKO G , SOUTAR C , SCHMIDT G . Fingerprint controlled public key cryptographic system[P]. US5541994, 1996-7-30.
[12]	李鹏, 田捷, 杨鑫 ,等. 生物特征模板保护[J]. 软件学报, 2009,20(6): 1553-1573.
	LI P , TIAN J , YANG X ,et al. Biometric Template protection[J]. Journal of Software, 2009,20(6): 1553-1573.
[13]	ULUDAG U , PANKANTI S , PRABHAKAR S ,et al. Biometric cryptosystems:issues and challenges[J]. Proceedings of the IEEE, 2004,92(6): 948-960.
[14]	DAVIDA G , FRANKEL Y , MATT B . On enabling secure applications through off-line biometric identification[C]// IEEE Symposium on Security and Privacy. 1998: 148-157.
[15]	JUELS A , SUDAN M . A fuzzy vault scheme[J]. Designs,Codes and Cryptography, 2006,38(2): 237-257.
[16]	JUELS A , WATTENBERG M . A fuzzy commitment scheme[C]// The 6th ACM conference on Computer and Communications Security. 1999: 28-36.
[17]	SOUTAR C , ROBERGE D , STOIANOV A ,et al. Biometric encryption using image processing[J]. Optical Security and Counterfeit Deterrence Techniques II, 1998,3314: 178-188.
[18]	VERBITSKIY E , TUYLS P , DENTENEER D ,et al. Reliable biometric authentication with privacy protection[C]// Proc 24th Benelux Symposium on Information Theory. 2003:19.
[19]	RATHGEB C , UHL A . A survey on biometric cryptosystems and cancelable biometrics[J]. EURASIP Journal on Information Security, 2011,2011(1): 1-25.
[20]	张宁, 臧亚丽, 田捷 . 生物特征与密码技术的融合——一种新的安全身份认证方案[J]. 密码学报, 2015,2(2): 159-176.
	ZHANG N , ZANG Y L , TIAN J . The integration of biometrics and cryptography——a new solution for secure identity authentication[J]. Journal of Crypto logic Research, 2015,2(2): 159-176.
[21]	罗成行, 杨得新, 杨波 . 一个基于指纹和智能卡的密钥封装方案[J]. 信息安全与通信保密, 2009(8): 338-340.
	LUO X C , YANG D X , YANG B . A key encapsulation scheme based on fingerprint and smartcard[J]. Information Security and Communication Privacy, 2009(8): 338-340.
[22]	陈开志, 胡爱群, 宋宇波 ,等. 基于 BioHashing 和密钥绑定的双重可删除指纹模板方法[J]. 高技术通讯, 2010,20(11): 1115-1120.
	CHEN K Z , HU A Q , SONG Y B ,et al. A dual cancellable fingerprint template method for securing the original finger print biometric in formation based on BioHashing and key bindings[J]. High Technology Letters, 2010,20(11): 1115-1120.
[23]	SHENG W , HOWELLS G , FAIRHURST M ,et al. Reliable and secure encryption key generation from fingerprints[J]. Information Management ＆ Computer Security, 2012,20(3): 207-221.
[24]	高莹, 郑长春, 张凯 ,等. 更高效的指纹生物特征加密[J]. 密码学报, 2016,3(2): 157-170.
	GAO Y , ZHENG C C , ZHANG K ,et al. More efficient fingerprint biometric encryption[J]. Journal of Cryptologic Research. 2016,3(2): 157-170.
[25]	WANG P , YOU L , HU G ,et al. Biometric key generation based on generated intervals and two-layer error correcting technique[J]. Pattern Recognition, 2021,111:107733.
[26]	张翔宇 . 基于指纹识别的认证方法研究[D]. 北京:北京邮电大学, 2021.
	ZHANG X . Research on authentication method on fingerprint recognition[D]. Beijing:Beijing University of Posts and Telecommunications, 2021.
[27]	ELSADAI A , ADAMOVI? S , ?ARAC M ,et al. New approach for fingerprint recognition based on stylometric features with blockchain and cancellable biometric aspects[J]. Multimedia Tools and Applications, 2022,81(25): 36715-36733.
[28]	贾忠田, 马莉, 秦庆龙 ,等. 一种指纹密钥生成方法、系统、介质及设备[P]. 山东省:CN115720170A, 2023-02-28.
	JIA Z , MA L , QIN Q . A method,system,medium and device for fingerprint key generation[P]. Shandong Province:CN115720170A, 2023-02-28.
[29]	ALILOU V . Fingerprint matching:a simple approach[EB].

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方法	FAR/FRR	SMD	R-New	Size
本文方法	0/26.46% (尝试次数=10)	No	Yes	Hash’s size
	0/1.940% (尝试次数=60)
文献[25]方法	2.58%/7.08%	Yes	Yes	120～168
文献[22]方法	5.33%/4.81%	Yes	Yes	Hash’s size
文献[24]方法	0/7.6%	Yes	—	80

Novel fingerprint key generation method based on the trimmed mean of feature distance

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