A Survey on Cyber Security Evolution and Threats: Biometric Authentication Solutions

Benarous, Leila; Kadri, Benamar; Bouridane, Ahmed

doi:10.1007/978-3-319-47301-7_15

Cited by 20 publications

(11 citation statements)

References 35 publications

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“…When message ‘A’ is sent by the user, the system computes F(A) randomly and checks with stored data ‘B’. A single authentication password alone cannot ensure the authentication of the user ( Benarous, Kadri & Bouridane, 2017 ; Mohsin et al, 2017 ). Accessing sensitive data offline or online requires a fundamental security system for authentication ( Mohsin et al, 2017 ; Balloon, 2001 ; Ometov et al, 2018 ) ( Fig.…”

Section: Introductionmentioning

confidence: 99%

Secure biometric authentication with de-duplication on distributed cloud storage

M¹,

Venkatachalam

Prabu

et al. 2021

PeerJ Computer Science

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Cloud computing is one of the evolving fields of technology, which allows storage, access of data, programs, and their execution over the internet with offering a variety of information related services. With cloud information services, it is essential for information to be saved securely and to be distributed safely across numerous users. Cloud information storage has suffered from issues related to information integrity, data security, and information access by unauthenticated users. The distribution and storage of data among several users are highly scalable and cost-efficient but results in data redundancy and security issues. In this article, a biometric authentication scheme is proposed for the requested users to give access permission in a cloud-distributed environment and, at the same time, alleviate data redundancy. To achieve this, a cryptographic technique is used by service providers to generate the bio-key for authentication, which will be accessible only to authenticated users. A Gabor filter with distributed security and encryption using XOR operations is used to generate the proposed bio-key (biometric generated key) and avoid data deduplication in the cloud, ensuring avoidance of data redundancy and security. The proposed method is compared with existing algorithms, such as convergent encryption (CE), leakage resilient (LR), randomized convergent encryption (RCE), secure de-duplication scheme (SDS), to evaluate the de-duplication performance. Our comparative analysis shows that our proposed scheme results in smaller computation and communication costs than existing schemes.

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Section: Introductionmentioning

confidence: 99%

Secure biometric authentication with de-duplication on distributed cloud storage

M¹,

Venkatachalam

Prabu

et al. 2021

PeerJ Computer Science

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show abstract

“…Various security risks and attacks exist in vehicular networks such as isolation and message dropping, Sybil attack, selective forwarding attack … etc. However, one of the most crucial issues is privacy which may contradict with the authentication and nonrepudiation requirements …”

Section: Introductionmentioning

confidence: 99%

Privacy‐preserving authentication scheme for on‐road on‐demand refilling of pseudonym in VANET

Benarous

Kadri

Bitam

et al. 2019

Int J Communication

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Privacy in Vehicular Ad Hoc Networks (VANET) is fundamental because the user's safety may be threatened by the identity and the real-time spatiotemporal data exchanged on the network. This issue is commonly addressed by the use of certified temporal pseudonyms and their updating strategies to ensure the user's unlinkability and anonymity. IEEE 1609.2 Standard specified the process of certifying pseudonym along with certificates structure. However, the communication procedure between the certifying authority and the requesting vehicle was not defined. In this paper, a new privacy-preserving solution for pseudonym on-road on-demand refilling is proposed where the vehicle anonymously authenticates itself to the regional authority subsidiary of the central trusted authority to request a new pseudonyms pool. The authentication method has two phases, the first one uses anonymous tickets, and the second one is a challenge-based authentication. The anonymous tickets are certificates that do not include the identity of the user. Instead, it contains a reference number and the certifying authority signature. The challenge authentication is identity-less to preserve the privacy, yet it is used to prevent the misuse of tickets and the impersonation of its owner. Our proposed scheme is analyzed by the use of Burrows, Abadi and Needham (BAN) logic to demonstrate its correctness. It is also specified and checked by using the Security Protocol ANimator (SPAN) and the Automated Validation of Internet Security Protocols and Applications (AVISPA) tools. The logical demonstration proved that this privacy-preserving authentication is assured. The SPAN and AVISPA tools illustrated that it is resilient to security attacks.Road Side Units (RSUs) which are infrastructures with a wide transmission range that may be connected to service providers, authorities, or to the internet backbone. The network vehicles are considered as computers on wheels with processing units, storage capacities, sensors, network interfaces, etc. They communicate with each other via wireless Dedicated Short-Range Communications (DSRC). 1 This communication is often referred to as Vehicle-to-Vehicle (V2V). The vehicles also communicate with the RSUs and infrastructures via Vehicle-to-Infrastructure (V2I). 2 These communications aim to exchange sensed data and to ensure safety applications. 3 The VANETs have some particular characteristics. Among which are that the vehicles have predictable movements that follows road restrictions. Also, they are highly dynamic. Moreover, they rely on the wireless exchange of clear state messages (Beacons). The beacons are required by the safety applications to prevent road causalities. They are broadcasted with high frequency, and they contain identity, location, speed, and direction data leading to a potential violation of the vehicle's confidentiality.Due to its direct impact on the user's safety and well-being, ensuring the security in these networks is fundamental. Various security risks and attacks exist in vehicular networks ...

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“…This paper addresses the need for a secure and cancelable biometric template generation as an illustration to ear biometrics. The human outer ear as a biometric has gained popularity among the research community [2] owing to its comparable complexity with face in terms of robustness, distinctiveness, availability, accessibility and acceptability [3]. The ear is also being used in Android [4] and iOS applications [5].…”

Section: Introductionmentioning

confidence: 99%

Upgrading security and protection in ear biometrics

Sinha

Ajmera

2019

IET biom.

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Biometrics is being widely accepted for user authentication across the globe. Integration of biometrics in the daily life provokes the need to design secure authentication systems. This study proposes the use of outer ear images as a biometric modality. The comparable complexity between the human outer ear and face in terms of its uniqueness and permanence has increased interest in the use of ear as a biometric. However, similar to face recognition, it poses challenges of variation in illumination, contrast, rotation, scale and pose. Owing to the extensive work in the field of computer vision using convolutional neural networks (CNNs), its feasibility in the field of ear biometrics has been presented in this work. The proposed technique uses a CNN as a feature extractor and a support vector machine (SVM) for the classification task. The joint CNN-SVM framework is used for mapping ear images to random base-n codes. The codes are further hashed using the secure hash algorithm SHA-3 to generate secure ear templates. The feasibility of the proposed technique has been evaluated on annotated web ears dataset. This work demonstrates 12.52% average equal error rate without any image pre-processing, which shows that the proposed approach is promising in the field of secure ear biometrics.

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A Survey on Cyber Security Evolution and Threats: Biometric Authentication Solutions

Cited by 20 publications

References 35 publications

Secure biometric authentication with de-duplication on distributed cloud storage

Secure biometric authentication with de-duplication on distributed cloud storage

Privacy‐preserving authentication scheme for on‐road on‐demand refilling of pseudonym in VANET

Upgrading security and protection in ear biometrics

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