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STRATEGIC-BRAIN
Adopt ... Analyzed Ability
Adopt ... Analyzed Ability
Safety Issues
Table of Contents
(1) Digital Risk Management and Cyber Security
(2) Counterfeit Fingerprints - A Novel Tool Employed by Fraudsters
(3) Comprehensive Analysis of Biometrics-based Frauds Issue: Collaborative Insights for Safety and Security
(1) Digital Risk Management and Cyber Security
(2) Counterfeit Fingerprints - A Novel Tool Employed by Fraudsters
(3) Comprehensive Analysis of Biometrics-based Frauds Issue: Collaborative Insights for Safety and Security
Bank-Led Model: The AePS platform enables seamless financial transactions at the Point of Sale (PoS) or micro-ATMs through the utilization of Business Correspondents (BCs) from any bank, with AADHAAR authentication. This online interoperable system streamlines the process for customers and enhances accessibility to financial services.
Initiation: The AADHAAR-enabled Payment System (AePS platform) was created by the National Payments Corporation of India (NPCI), which is a collaborative effort between the Reserve Bank of India (RBI) and the Indian Banks' Association (IBA).
Objective: The AePS platform, enabled by AADHAAR, offers secure and easily accessible banking services to underprivileged communities, particularly those residing in rural and remote regions.
Simplified Transactions: The AePS platform doesn't require OTPs, bank account details, or other financial information.
Process: The AePS platform uses the bank's name, AADHAAR number, and fingerprints taken during AADHAAR enrollment for transactions.
FMR is a condensed depiction of a fingerprint that concentrates on capturing and encoding the fundamental characteristics of the fingerprint, commonly referred to as minutiae points.
Minutiae points refer to distinct locations on a fingerprint where ridges terminate, divide, or cross paths.
The aforementioned minutiae points are distinct to every individual fingerprint and serve as crucial reference points to match and verify fingerprints.
Within a Fingerprint Minutiae Recognition (FMR) system, the minutiae points are extracted from a fingerprint image and subsequently encoded into a standardized format. This format typically encompasses the coordinates of the minutiae, such as their x and y positions, as well as their respective orientations.
The FMR is much smaller than the original fingerprint picture. This makes it suitable for efficient storing and matching in big biometric databases.
On the contrary, FIR denotes the complete image of the fingerprint.
In contrast to the FMR, the FIR preserves entire intricate information contained within the fingerprint image, encompassing ridges, valleys, and other distinctive patterns.
FIR serves a multitude of purposes, including but not limited to forensic analysis, visual inspection, and meticulous examination of fingerprint characteristics.
FIRs are typically larger when compared to FMR because FIRs include the entire fingerprint image.
Although FIRs provide a more extensive range of information, they necessitate a greater amount of storage capacity and computational resources for processing and matching.
FIRs are typically employed in situations that necessitate meticulous fingerprint scrutiny, whereas FMRs are utilized for biometric authentication and identification endeavors that prioritize expediency and efficiency.
FMRs are commonly employed in fingerprint databases and matching algorithms, whereas FIRs are utilized for comprehensive analysis and investigations.
FIR and FMR are integral components of fingerprint recognition systems.
These records facilitate the precise identification of individuals by biometric systems and ensure the maintenance of secure and efficient biometric authentication procedures.
Enhances AePS Security: The FMR-FIR technology has been specifically developed to counter fraudulent activities, with a particular focus on the misuse of cloned fingerprints.
Mitigates Vulnerabilities: This solution improves transaction security by reducing vulnerabilities to spoofing and unauthorized access.
Technological Innovation: The AADHAAR ecosystem exhibits technological innovation in its efforts to ensure societal welfare and secure financial transactions.
Secure Your Data: Disable AADHAAR Biometric Authentication – As a proactive measure to prevent any potential misuse of your AADHAAR biometric data, we recommend disabling your biometric authentication with AADHAAR. This can be easily accomplished by following the straightforward steps outlined in the following link: https://resident.uidai.gov.in/bio-lock. Should you require biometric authentication in the future, you may enable it at your discretion. However, we advise disabling it once it is no longer necessary to ensure the utmost security of your personal information.
Protecting Privacy: Demanding Default Biometric Authentication Disablement for Inactive AADHAAR Holders – It's time to take a stand against the unnecessary use of biometric authentication through the AADHAAR database. While it may not be required for everyone daily, the fact remains that every AADHAAR holder is currently enrolled in this system by default. This is an invasion of privacy that must be addressed. Fortunately, there is a solution. We can demand that the default setting for biometric authentication be changed to "disabled" for those who have not used their biometrics in the last six months. This will ensure that only those who truly need this level of security will be enrolled in the system.
Secure Yourself: Link AADHAAR & Mobile for Added Protection – It's time to take action and link your mobile number with your AADHAAR number. When AADHAAR was first introduced, mobile penetration was low, but now it's a different story. Despite this, no conscious efforts have been made to link mobile numbers with AADHAAR numbers, unlike mapping AADHAAR numbers with bank accounts. By linking your mobile number with your AADHAAR number, you can use the convenient "mAADHAAR" app on your registered mobile number. Plus, you'll receive SMS notifications about any activity that takes place with your AADHAAR number, giving you peace of mind and added security. Don't wait any longer, link your mobile number with your AADHAAR number today!
Upgrade to IVR Facility for Secure Biometric Control in Vernacular Languages with basic feature phone – Do you still use a basic feature phone and feel like you're missing out on the latest technology? Well, we have great news for you! With an IVR facility in vernacular languages, you can now easily disable or enable your biometrics and prevent any potential fraud. Don't let outdated technology hold you back any longer. Upgrade to an IVR facility and enjoy peace of mind knowing that your identity is safe and secure.
Rural AEPS Users: Boosting Security with Multi-Factor Authentication – AEPS employs a two-factor authentication process, consisting of AADHAAR No. (What you know) and biometrics (What you have). However, it is recommended that an additional layer of authentication, such as an IVR call or OTP, be introduced due to the high number of users utilizing these payment channels in rural areas of the country.
Centralized AEPS Fraud Reporting Helpline for Easy Cybercrime Reporting – A centralized cybercrime reporting portal at www.cybercrime.gov.in is the best way to report such fraud. But again this would be difficult to be accessed by people in rural parts due to various limitations. Hence a centralized AEPS fraud reporting/helpline would be helpful for easy reporting of such frauds.
Advanced Liveness Models for Biometric Authentication: Exploring New Frontiers – To establish a sustainable solution, it may be prudent to explore the implementation of "Advanced Liveness Models" that incorporate facial and iris biometrics as a substitute for fingerprints. Alternatively, an alternative approach could involve augmenting the authentication process through AADHAAR by integrating iris and facial recognition technologies.
AI/ML-Enhanced Fingerprint Scanners: Advancing Security – It's time to take fingerprint scanner technology to the next level. We need to advance it to differentiate between normal finger pressure and artificial finger pressure. This is where AI/ML models come in. By deploying these models, we can achieve more accurate predictions and ensure that only authorized individuals are granted access. It's time to prioritize security and invest in the latest technology to keep our sensitive information safe.
Optimizing AADHAAR Biometric Education for Customers – It is recommended that Customer Education programs be implemented to educate users on the proper utilization of the AADHAAR biometric blocking and unblocking features. These programs should be conducted in multiple vernacular languages to ensure maximum outreach.
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