Biometric Authentication using Soft Biometric Traits

Rishabh, Garg,; Arora, Aanchal; Singh, Saurabh; Saraswat, Shipra

doi:10.1109/pdgc.2018.8745766

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…If the response is correct, the transaction goes successfully, else it terminates. Merging soft biometrics with PIN will result in higher security (Garg et al, 2018).…”

Section: Randomization Obfuscation Techniquementioning

confidence: 99%

Adapting User Interface Design to Mitigate Shoulder Surfing Attacks in USSD Channel

A. P.,

J. O.

2024

African Journal of Environment and Natural Science Research

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The most widely accepted authentication method involves the use of a personal identification number (PIN). This method is applicable across many technologies, of which one of them is Unstructured Supplementary Service Data (USSD). USSD is a capability built into the Global System for Mobile Communication (GSM). In some developing countries like Nigeria, USSD is used in carrying out financial transactions. It has been observed that while carrying out banking transactions using this technology, users' personal identification number (PIN) entered for authentication appears in plain text on the mobile interface, thereby subjecting it to shoulder surfing attacks. Findings revealed that users' PIN appears in plain text because USSD technology is designed to convey only textual data. That is why many existing authentication methods against Human shoulder surfing attacks which contain features like images, colors, or graphical password, that can provide security to users' PIN on mobile interface are not implemented on the USSD channel. This is one of the reasons why many existing authentication methods, which are designed with features such as images, colors or graphical passwords to prevent shoulder surfing attack, are not implemented on the USSD channel. This research is, therefore, on the design of a new authentication method that can provide security to users’ PIN at the mobile interface of the USSD channel and secure the users’ transaction against shoulder surfing attacks. In this method, the challenge response approach is adopted to provide a secure PIN entry method in the presence of a human shoulder surfer, using the randomization obfuscation method that randomly places the user's chosen PIN within randomly generated 10-digit numbers, in Left to Right order. For further security, the designed model includes features like Bag of Soft Biometrics (BoSB) details and one-time password (OTP).

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“…If the response is correct, the transaction goes successfully, else it terminates. Merging soft biometrics with PIN will result in higher security (Garg et al, 2018).…”

Section: Randomization Obfuscation Techniquementioning

confidence: 99%

Adapting User Interface Design to Mitigate Shoulder Surfing Attacks in USSD Channel

A. P.,

J. O.

2024

African Journal of Environment and Natural Science Research

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“…If the response is correct, the transaction goes successfully else it terminates. Merging soft Biometrics with PIN will result in higher security (Garg, et al 2018) 7.1.0 Algorithms 1: PIN Randomization Obfuscation Algorithm 1 shows how users' PIN will be concealed from an attacker using the Randomization obfuscation method. To conceal the PIN from the shoulder surfer, the user-de ned function, insertreal1(), inserts randomly the rst three digits of users chosen PIN in left-to-right (LTR) order.…”

Section: Randomization Obfuscation Techniquementioning

confidence: 99%

Design of a Resilient System against Shoulder Surfing Attack: Adaptable to USSD Channel

Binitie

Akhator

Chukwubueze

2023

Preprint

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The most widely accepted authentication method involves the use of a personal identification number (PIN). This method is applicable across many technologies, of which one of which is Unstructured Supplementary service data (USSD). USSD is a capability built into Global System for Mobile Communication (GSM) mobile phones. In some third-world countries like Nigeria, this technology is used in carrying out financial transactions. It has been observed that while carrying out banking transactions using this technology, users' PIN entered for authentication appears in plain text on the mobile interface, thereby subjecting it to shoulder surfing attacks. Findings revealed that users' PIN appears in plain text because USSD technology is designed to convey only textual data. That is why many existing authentication methods against Human shoulder surfing attack which contains features like images, colors, or graphical password, that can provide security to users' PIN on mobile interface are not implemented on the USSD channel. This research is, therefore, on the design of a new authentication method that can provide security to users’ PIN at the mobile interface, against shoulder surfing attacks which can be implemented on the USSD channel. In this method, the challenge response approach is adopted to provide a secure PIN entry method in the presence of a human shoulder surfer, using the Randomization obfuscation method that randomly places the user's chosen PIN within randomly generated 10-digit numbers, in Left to Right order. For further security, the model designed named “Mobisafe” include features like; Bag of Soft Biometrics (BoSB) details and one-time password (OTP).

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“…Similar to traditional biometrics, soft biometrics is extracted set of features from whole human body [71].…”

Section: Soft Biometrics: Modalities and Featuresmentioning

confidence: 99%

“…As a prerequisite step, multiple techniques for facial soft biometrics extraction, fusion of soft and hard biometrics and search space reduction methods were compared. In another work [71], for continuous authentication during online session, techniques to extract facial soft biometrics i.e. ethnicity, eye color, hair color, skin color and gender were explored and compared.…”

Section: Introductionmentioning

confidence: 99%

“…To develop robust soft biometrics systems, the survey analyzes four critical factors affecting individual soft traits. A comparison of most recent standalone soft biometrics applications developed for authentication using modalities from whole human body rather than face only [19,71,76] is part of survey too. The most recent global soft biometrics i.e.…”

Section: Introductionmentioning

confidence: 99%

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Soft biometrics: a survey

Hassan

Izquierdo

Piatrik

2021

Multimed Tools Appl

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The field of biometrics research encompasses the need to associate an identity to an individual based on the persons physiological or behaviour traits. While the use of intrusive techniques such as retina scans and finger print identification has resulted in highly accurate systems, the scalability of such systems in real-world applications such as surveillance and border security has been limited. As a branch of biometrics research, the origin of soft biometrics could be traced back to need for non-intrusive solutions for extracting physiological traits of a person. Following high number of research outcomes reported in the literature on soft biometrics, this paper aims to consolidate the scope of soft biometrics research across four thematic schemes (i) a detailed review of soft biometrics research data sets, their annotation strategies and building a largest novel collection of soft traits; (ii) the assessment of metrics that affect the performance of soft biometrics system; (iii) a comparative analysis on feature and modality level fusion reported in the literature for enhancing the system performance; and (iv) a performance analysis of hybrid soft biometrics recognition system using multi-scale criterion. The paper also presents a detailed analysis on the global traits associated to person identity such as gender, age and ethnicity. The contribution of the paper is to provide a comprehensive review of scientific literature, identify open challenges and offer insights on new research directions in the filed.

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Biometric Authentication using Soft Biometric Traits

Cited by 7 publications

References 16 publications

Adapting User Interface Design to Mitigate Shoulder Surfing Attacks in USSD Channel

Adapting User Interface Design to Mitigate Shoulder Surfing Attacks in USSD Channel

Design of a Resilient System against Shoulder Surfing Attack: Adaptable to USSD Channel

Soft biometrics: a survey

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