AuthN-AuthZ: Integrated, User-Friendly and Privacy-Preserving Authentication and Authorization

Phillips, Tyler; Yu, Xiaoyuan; Haakenson, Brandon; Goyal, Siddharth; Zou, Xukai; Purkayastha, Saptarshi; Wu, Huanmei

doi:10.1109/tps-isa50397.2020.00034

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…There is discussion of many access control models that aim to combine authorization with authentication, such as Mandatory Access Control (MAC), Role-based Access Control (RBAC), and Discretionary Access Control (DAC). The suggested AuthN-AuthZ system uses a hierarchical RBAC model with privacy-preserving Biometric-Capsule-based authentication to solve usability and privacy concerns [17].…”

Section: Literature Reviewmentioning

confidence: 99%

A Lightweight Approach Towards Speaker Authentication Systems

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Patil,

Deshmukh

et al. 2023

Preprint

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In a world where traditional authentication systems are constrained, the introduction of voice-based authentication provides a viable option. This cutting-edge biometric security method uses unique vocal traits including pitch, tone, and speech patterns to create a unique voiceprint. Its sophisticated and dependable verification procedure, when combined with voice-activated services and secure access systems, not only solves au-thentication issues but also improves user experience overall. Our suggested method provides a thorough blueprint for developing a lightweight voice authentication system that is based on text. This system leverages an effective encoder model to convert voice spectrograms, making deployment easy even on edge devices with limited resources. Various dimensionality reduction techniques are explored to obtain optimal voice embeddings that capture speaker uniqueness while minimizing model complexity. A key novelty is the application of model compression techniques including lightweight architectures and Siamese Networks to obtain highly condensed voice embeddings for each user, reducing storage and infrastructure costs compared to traditional voice authentication methods. The proposed lightweight spectrogram embeddings leverage language-agnostic acoustic features, enabling language-independent speaker verification. Additionally, dimensionality reduction applied during voice registration allows the capturing of discriminative voice characteristics in a low-dimensional compact feature space. This significantly cuts down the storage requirements and infrastructure costs per user compared to standard voice biometric approaches, while retaining competitive verification performance. The architecture is optimized for responsiveness by leveraging lightweight frameworks. The proposed system delivers competitive voice authentication capabilities while minimizing memory, computational, and energy footprints. This makes the system useful for integration into smart devices and paves the way for ubiquitous voice biometrics.

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Section: Literature Reviewmentioning

confidence: 99%

A Lightweight Approach Towards Speaker Authentication Systems

More,

Patil,

Deshmukh

et al. 2023

Preprint

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“…Alternatively, the strong authentication process in a mobile environment uses a biometric element based on a fingerprint or facial scan of a user. The use of biometrics in the process of confirming a user's identity is the subject of numerous studies [10]- [13]. This method requires a device with a specific reader.…”

Section: Introductionmentioning

confidence: 99%

User Authentication Protocol Based on the Location Factor for a Mobile Environment

et al. 2022

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The way the internet is used by billions of users around the world has been revolutionized by mobile devices. The capabilities of smartphones are constantly growing, and the number of services available for mobile devices is also increasing. This undeniable trend makes smartphones terminals for accessing services that process confidential data, which make smartphones priceless targets of cyberattacks. Along with an increasing number of mobile services, the methods of securing the confidentiality, integrity and availability of systems used have also evolved and adapted to the capabilities of a mobile environment. One of the important security services is the user authentication process. This process often implements the postulates of strong authentication, multistage authentication based on factors from the knowledge, position and inherence categories. Unfortunately, the implementation of the factors belonging to these categories is not always possible due to the limitations of smartphones, such as the lack of interfaces for the implementation of biometrics or environmental factors -problems with network or internet access in various countries and regions. Therefore, there is a need to analyse the possibility of implementing a strong authentication process based on additional information about users, e.g., based on location data. The article analyses the requirements for the authentication process and authentication factors. Based on the performed analysis, the criteria that each authentication factor must meet were defined. This article presents a proposal for a user authentication protocol based on the location factor for a mobile environment. The method can be used in the case of problems with the implementation of strong authentication or as an additional authentication factor that increases the security of the user identity confirmation process. The presented protocol has been analysed in terms of performance, security and compliance with the requirements related to the authentication factors.

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Deep Learning Application in Continuous Authentication

Havrylovych,

Danylov

2024

Lecture Notes in Electrical Engineering

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AuthN-AuthZ: Integrated, User-Friendly and Privacy-Preserving Authentication and Authorization

Cited by 4 publications

References 22 publications

A Lightweight Approach Towards Speaker Authentication Systems

A Lightweight Approach Towards Speaker Authentication Systems

User Authentication Protocol Based on the Location Factor for a Mobile Environment

Deep Learning Application in Continuous Authentication

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