WO2017088693A1 - Procédé de vérification d'identité basée sur une reconnaissance de caractéristiques - Google Patents

Procédé de vérification d'identité basée sur une reconnaissance de caractéristiques Download PDF

Info

Publication number
WO2017088693A1
WO2017088693A1 PCT/CN2016/106148 CN2016106148W WO2017088693A1 WO 2017088693 A1 WO2017088693 A1 WO 2017088693A1 CN 2016106148 W CN2016106148 W CN 2016106148W WO 2017088693 A1 WO2017088693 A1 WO 2017088693A1
Authority
WO
WIPO (PCT)
Prior art keywords
feature recognition
information interaction
security information
user
image
Prior art date
Application number
PCT/CN2016/106148
Other languages
English (en)
Chinese (zh)
Inventor
冯晓
才华
褚红梅
林家颖
何舟
Original Assignee
中国银联股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 中国银联股份有限公司 filed Critical 中国银联股份有限公司
Publication of WO2017088693A1 publication Critical patent/WO2017088693A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints

Definitions

  • the present invention relates to an identity authentication method, and more particularly to a feature recognition based identity authentication method.
  • the authentication process for the user identity is typically performed in a manner based on face recognition, or fingerprint entry, or biometrics of iris recognition.
  • the present invention proposes a feature recognition based identity authentication method with enhanced security and good use convenience.
  • a feature recognition based identity authentication method includes the following steps:
  • the security information interaction terminal initiates a security information interaction request to the data processing server based on the user instruction
  • the data processing server indicates a feature based on the received security information interaction request
  • the identification server transmits image verification information to the security information interaction terminal, wherein the image verification information includes at least one image
  • the security information interaction terminal prompts the user to select and view one of the at least one image after receiving the image verification information, and collects a biometric signal when the user views the selected image, and then The collected biometric signals are transmitted to the feature recognition server in an encrypted manner;
  • the feature recognition server authenticates the identity of the user based on the received biometric signal, and transmits the authentication result to the data processing server;
  • the method further comprises: before the security information interaction terminal initiates the security information interaction request, the user inputs in the database of the feature recognition server to view one or more Biometric signals generated at a particular image for subsequent alignment.
  • the biometric signal is a digital signal associated with a brain wave generated when a user views a particular image.
  • the step (A3) further comprises: the security information interaction terminal triggers a wearable device collection carried by the user when the user selects and views one of the at least one image The brain wave signal when the user views the selected image.
  • the step (A3) further comprises: the wearable device collecting a brain wave signal when the user views the selected image in the following manner:
  • a pulse magnetic field is emitted to the central nervous system of the human brain to change the membrane potential of the cortical nerve cells to generate an induced current, and then the brain wave signal caused by the physiological reaction generated by the human brain is collected;
  • the step (A4) further comprises: the feature recognition server decrypting the received digital signal associated with the brain wave generated when the user views the specific image, and decrypting The digital signal is compared with a corresponding biometric signal pre-stored in the database, and if the two are consistent, an authentication result indicating "authentication success” is transmitted to the data processing server, otherwise, an indication is transmitted to the data processing server "Authentication failed" certification result.
  • the security information interaction terminal is a smart mobile terminal or a POS terminal having a display.
  • the feature recognition-based identity authentication method disclosed by the invention has the following advantages: (1) since different people have individual uniqueness for a specific visual stimulus, and cannot copy and copy, the brain wave is used as an identity authentication parameter. Enhanced security; (2) Because of the strong concealment of using brain waves as an authentication parameter, and different people have different brainwave responses for different visual stimuli, it is difficult to steal and steal, so it has enhanced Convenience.
  • FIG. 1 is a flow chart of a feature recognition based identity authentication method in accordance with an embodiment of the present invention.
  • the identity recognition-based identity authentication method disclosed in the present invention includes the following steps: (A1) The security information interaction terminal initiates a security information interaction request to the data processing server based on the user instruction; (A2) the data. The processing server instructs the feature recognition server to transmit image verification information to the security information interaction terminal based on the received security information interaction request, wherein the image verification information includes at least one image; (A3) the security information interaction After receiving the image verification information, the terminal prompts the user to select and view one of the at least one image, and collects a biometric signal when the user views the selected image, and then encrypts the collected biometric signal.
  • the feature recognition server is based on the received creature
  • the feature signal authenticates the identity of the user and transmits the authentication result to the data processing server; (A5) if the authentication result is "successful", the data processing server performs a subsequent security information interaction process if If the authentication result is "failure", the data processing server terminates the security information interaction process and returns a message indicating "authentication failure" to the security information interaction terminal.
  • the feature recognition-based identity authentication method disclosed by the present invention further includes: before the security information interaction terminal initiates the security information interaction request, the user inputs and views one or more in the database of the feature recognition server in advance.
  • the biometric signals generated for a particular image are for subsequent alignment.
  • the biometric signal is a digital signal associated with a brain wave generated when a user views a specific image.
  • the step (A3) further includes: the security information interaction terminal triggering a user when the user selects and views one of the at least one image
  • the security information interaction terminal triggering a user when the user selects and views one of the at least one image
  • a carried wearable device such as glasses or a headset, collects brainwave signals when the user views the selected image.
  • the step (A3) further includes: the wearable device collecting a brain wave signal when the user views the selected image in the following manner: (1) After receiving the trigger signal, a pulsed magnetic field is emitted to the central nervous system of the human brain to change the membrane potential of the cortical nerve cells to generate an induced current, and then the brain wave signal caused by the physiological reaction generated by the human brain is collected (which is the user) (2) the brain wave signal when subjected to visual stimulation); (2) passing the brain wave signal through a (high-frequency and/or low-frequency) amplifier and a filter to filter out noise, and converting the filtered brain wave signal into a digital signal; 3) transmitting the digital signal to the security information interactive terminal in a wireless or wired manner.
  • a pulsed magnetic field is emitted to the central nervous system of the human brain to change the membrane potential of the cortical nerve cells to generate an induced current, and then the brain wave signal caused by the physiological reaction generated by the human brain is collected (which is the user) (2) the brain wave signal when subjected to visual
  • the step (A4) further comprises: the feature recognition server decrypting the received brain wave associated with the brain wave generated when the user views the specific image. Digital signal, and comparing the decrypted digital signal with a corresponding biometric signal pre-stored in the database, if the two are consistent, transmitting an authentication result indicating "authentication success" to the data processing server; otherwise, The data processing server transmits an authentication result indicating "authentication failure".
  • the security The information interaction terminal is an intelligent mobile terminal or a POS terminal having a display.
  • the feature recognition-based identity authentication method disclosed by the present invention has the following advantages: (1) Since different people have individual uniqueness for a specific visual stimulus, and cannot copy and copy, brainwaves are used as The identity authentication parameter has enhanced security; (2) because the brain wave is used as the identity authentication parameter has strong concealment, and different people have different brain wave responses for different visual stimuli, so it is difficult to steal and steal. Therefore, it has enhanced ease of use.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Collating Specific Patterns (AREA)

Abstract

L'invention concerne un procédé de vérification d'identité basée sur une reconnaissance de caractéristiques, selon lequel : un terminal d'interaction d'informations de sécurité transmet, sur la base d'une instruction provenant d'un utilisateur, une demande d'interaction d'informations de sécurité à un serveur de traitement de données (A1); le serveur de traitement de données donne l'ordre à un serveur de reconnaissance de caractéristiques, sur la base de la demande d'interaction d'informations de sécurité reçue, de transmettre des informations d'authentification d'image au terminal d'interaction d'informations de sécurité, les informations d'authentification d'image incluant une ou plusieurs images (A2); suite à la réception des informations d'authentification d'image, le terminal d'interaction d'informations de sécurité invite l'utilisateur à sélectionner et regarder l'une desdites images, collecte un signal biométrique généré lorsque l'utilisateur regarde l'image sélectionnée, puis chiffre le signal biométrique collecté et le transmet au serveur de reconnaissance de caractéristiques (A3); et le serveur de reconnaissance de caractéristiques vérifie l'identité de l'utilisateur conformément au signal biométrique reçu, et transmet le résultat de vérification au serveur de traitement de données (A4). Ce procédé de vérification d'identité basée sur une reconnaissance de caractéristiques présente une meilleure sécurité, et il est pratique à utiliser.
PCT/CN2016/106148 2015-11-23 2016-11-16 Procédé de vérification d'identité basée sur une reconnaissance de caractéristiques WO2017088693A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510813543.XA CN105590046B (zh) 2015-11-23 2015-11-23 基于特征识别的身份认证方法
CN201510813543.X 2015-11-23

Publications (1)

Publication Number Publication Date
WO2017088693A1 true WO2017088693A1 (fr) 2017-06-01

Family

ID=55929622

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/106148 WO2017088693A1 (fr) 2015-11-23 2016-11-16 Procédé de vérification d'identité basée sur une reconnaissance de caractéristiques

Country Status (2)

Country Link
CN (1) CN105590046B (fr)
WO (1) WO2017088693A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109657536A (zh) * 2018-10-30 2019-04-19 国网安徽省电力有限公司信息通信分公司 一种融合生物识别和密码技术的身份认证方法和系统
CN112257680A (zh) * 2020-11-23 2021-01-22 中国联合网络通信集团有限公司 脑纹身份认证识别方法、服务器及计算机可读存储介质
CN114661160A (zh) * 2022-03-30 2022-06-24 中国农业银行股份有限公司 一种自助设备的控制方法和装置

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105590046B (zh) * 2015-11-23 2018-10-23 中国银联股份有限公司 基于特征识别的身份认证方法
CN106022043A (zh) * 2016-05-23 2016-10-12 南京甄视智能科技有限公司 一种生物特征识别业务处理平台的系统架构及实现方法
CN110121711A (zh) * 2016-12-21 2019-08-13 华为技术有限公司 一种基于视觉诱发电位的身份识别方法和设备
CN108959891B (zh) * 2018-07-19 2022-07-12 南京邮电大学 基于秘密共享的脑电身份认证方法
CN109507895B (zh) * 2018-08-28 2022-04-19 中国银联股份有限公司 基于交互的控制设备与交互控制方法
CN111031057B (zh) * 2019-12-21 2020-10-09 北京理工大学 一种基于刺激信号诱发脑电波的信息传输方法

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1803086A (zh) * 2005-12-02 2006-07-19 清华大学 基于人脑记忆特征客观检测的身份识别方法
US20080294907A1 (en) * 2007-05-21 2008-11-27 Hively Lee M Methods for using a biometric parameter in the identification of persons
CN101828921A (zh) * 2010-06-13 2010-09-15 天津大学 基于视觉诱发脑电vep的身份识别方法
CN201668389U (zh) * 2010-05-12 2010-12-15 江西蓝天学院 身份识别电极帽
CN203250345U (zh) * 2013-04-22 2013-10-23 南京邮电大学 基于脑电波身份识别的门禁系统
CN105590046A (zh) * 2015-11-23 2016-05-18 中国银联股份有限公司 基于特征识别的身份认证方法

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100345526C (zh) * 2005-12-15 2007-10-31 西安交通大学 一种多导脑生物信息反馈仪
CN101716079B (zh) * 2009-12-23 2011-09-07 江西蓝天学院 基于多特征算法的脑纹身份识别认证方法
WO2014165230A1 (fr) * 2013-03-13 2014-10-09 Lookout, Inc. Système et procédé de modification du comportement de sécurité d'un dispositif basée sur la proximité d'un autre dispositif
CN103729586A (zh) * 2013-12-20 2014-04-16 北京握奇数据系统有限公司 一种基于脑电波信号的密码验证方法及系统

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1803086A (zh) * 2005-12-02 2006-07-19 清华大学 基于人脑记忆特征客观检测的身份识别方法
US20080294907A1 (en) * 2007-05-21 2008-11-27 Hively Lee M Methods for using a biometric parameter in the identification of persons
CN201668389U (zh) * 2010-05-12 2010-12-15 江西蓝天学院 身份识别电极帽
CN101828921A (zh) * 2010-06-13 2010-09-15 天津大学 基于视觉诱发脑电vep的身份识别方法
CN203250345U (zh) * 2013-04-22 2013-10-23 南京邮电大学 基于脑电波身份识别的门禁系统
CN105590046A (zh) * 2015-11-23 2016-05-18 中国银联股份有限公司 基于特征识别的身份认证方法

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109657536A (zh) * 2018-10-30 2019-04-19 国网安徽省电力有限公司信息通信分公司 一种融合生物识别和密码技术的身份认证方法和系统
CN112257680A (zh) * 2020-11-23 2021-01-22 中国联合网络通信集团有限公司 脑纹身份认证识别方法、服务器及计算机可读存储介质
CN112257680B (zh) * 2020-11-23 2023-06-23 中国联合网络通信集团有限公司 脑纹身份认证识别方法、服务器及计算机可读存储介质
CN114661160A (zh) * 2022-03-30 2022-06-24 中国农业银行股份有限公司 一种自助设备的控制方法和装置

Also Published As

Publication number Publication date
CN105590046A (zh) 2016-05-18
CN105590046B (zh) 2018-10-23

Similar Documents

Publication Publication Date Title
WO2017088693A1 (fr) Procédé de vérification d'identité basée sur une reconnaissance de caractéristiques
US11120111B2 (en) Authentication based on correlation of multiple pulse signals
US9892576B2 (en) Biometrics identification module and personal wearable electronics network based authentication and transaction processing
US9119539B1 (en) Performing an authentication operation during user access to a computerized resource
US9904775B2 (en) Systems and methods for authenticating user identity based on user-defined image data
US10032008B2 (en) Trust broker authentication method for mobile devices
US20150242605A1 (en) Continuous authentication with a mobile device
JP2020064664A (ja) アクセス制御される環境へのアクセスを認可するためのシステム及び方法
US11494474B2 (en) Brain activity-based authentication
CN103927469B (zh) 基于虹膜信息的动态口令生成方法
JP2018504703A (ja) 顔の生体性検出
EP3001343B1 (fr) Système et procédé de reconnaissance d'identité améliorée incorporant des actions aléatoires
KR101622377B1 (ko) 홍채인식보안기능이 구비된 usb장치 및 그 제어방법
KR20170034618A (ko) 바이오 정보를 이용하는 사용자 인증 방법 및 사용자 인증을 위한 인증 서버, 바이오 인식 장치
CN106992968B (zh) 一种基于客户端的人脸持续认证方法
US10831922B1 (en) System and method for access control
Belkacem Cybersecurity framework for P300-based brain computer interface
KR101813950B1 (ko) 금융 자동화 기기 및 그 동작 방법
JP5723930B2 (ja) 情報処理装置および情報処理システム
KR101787389B1 (ko) Otp기능을 이용한 홍채인식 usb장치 및 그 제어방법
US11323261B1 (en) System, method, and device for vitality verification using a biometric one-time passcode
JP2009217749A (ja) 情報処理装置、生体情報認証装置、情報処理方法、生体情報認証方法および生体情報認証システム
WO2019113765A1 (fr) Procédé d'authentification de paiement basé sur un visage et sur un électrocardiogramme et terminal
CA2910929A1 (fr) Systemes et methodes d'authentification de l'identite utilisateur fondee sur des donnees images definies par l'utilisateur
Zhong et al. Metaverse CAN: Embracing Continuous, Active, and Non-intrusive Biometric Authentication

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16867916

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 16867916

Country of ref document: EP

Kind code of ref document: A1