MY207110A - Method and system to determine risks associated with spoof attacks - Google Patents

Method and system to determine risks associated with spoof attacks

Info

Publication number
MY207110A
MY207110A MYPI2019002797A MYPI2019002797A MY207110A MY 207110 A MY207110 A MY 207110A MY PI2019002797 A MYPI2019002797 A MY PI2019002797A MY PI2019002797 A MYPI2019002797 A MY PI2019002797A MY 207110 A MY207110 A MY 207110A
Authority
MY
Malaysia
Prior art keywords
biometric data
fake
module
real
risk
Prior art date
Application number
MYPI2019002797A
Inventor
Bin Shamsuddin Solahuddin
Binti Daud Maslina
Poh Norman
Binti Salimin Norahana
Dahari Bin Jarno Ahmad
Iylia Binti Roslan Nur
Zarina Binti Zamri Nor
Sharifah Idayu Binti Mat Roh Nur
Anini Bt Mohd Rashid Noraziah
Izratul Imrah Binti Zolkafle Nurul
Original Assignee
Cybersecurity Malaysia
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 Cybersecurity Malaysia filed Critical Cybersecurity Malaysia
Priority to MYPI2019002797A priority Critical patent/MY207110A/en
Priority to PCT/MY2020/050030 priority patent/WO2020231249A1/en
Publication of MY207110A publication Critical patent/MY207110A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F21/45—Structures or tools for the administration of authentication
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G06F21/554—Detecting local intrusion or implementing counter-measures involving event detection and direct action
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/03—Indexing scheme relating to G06F21/50, monitoring users, programs or devices to maintain the integrity of platforms
    • G06F2221/034—Test or assess a computer or a system
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/2133—Verifying human interaction, e.g., Captcha

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Collating Specific Patterns (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

A system (200) and method to determine a risk associated with a spoof attack comprises: a biometric device (210); and, a computing device (220) installed with an application module (230) comprises: a biometric data acquisition module (231), configured to retrieve a real biometric data and a fake biometric data from the biometric device (210) accessed by a user; a matching score computation module (233), configured to compute a first matching score and a second matching score, by comparing the real biometric data and the fake biometric data against stored data in a database (240); a threshold computation module (234), configured to compute a threshold value for differentiating the real biometric data and the fake biometric data, by comparing the first similarity score with the second similarity score; and a risk analysis module (235), configured to perform a risk analysis associated with the spoof attack based on the identified fake biometric data, for determining a risk rating of the spoof attack. (Figure 2)
MYPI2019002797A 2019-05-16 2019-05-16 Method and system to determine risks associated with spoof attacks MY207110A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
MYPI2019002797A MY207110A (en) 2019-05-16 2019-05-16 Method and system to determine risks associated with spoof attacks
PCT/MY2020/050030 WO2020231249A1 (en) 2019-05-16 2020-05-15 Method and system to determine risks associated with spoof attacks

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MYPI2019002797A MY207110A (en) 2019-05-16 2019-05-16 Method and system to determine risks associated with spoof attacks

Publications (1)

Publication Number Publication Date
MY207110A true MY207110A (en) 2025-01-30

Family

ID=73288765

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI2019002797A MY207110A (en) 2019-05-16 2019-05-16 Method and system to determine risks associated with spoof attacks

Country Status (2)

Country Link
MY (1) MY207110A (en)
WO (1) WO2020231249A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113554006A (en) * 2021-09-18 2021-10-26 北京的卢深视科技有限公司 Face prosthesis system construction method, electronic device and storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9082011B2 (en) * 2012-03-28 2015-07-14 Texas State University—San Marcos Person identification using ocular biometrics with liveness detection
US10671735B2 (en) * 2017-04-10 2020-06-02 Arizona Board Of Regents On Behalf Of Arizona State University Framework for security strength and performance analysis of machine learning based biometric systems

Also Published As

Publication number Publication date
WO2020231249A1 (en) 2020-11-19

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