Multi-fingerprint Unimodel-based Biometric Authentication Supporting Cloud Computing

Rajeswari, P.; Raju, S. Viswanadha; Ashour, Amira S.; Dey, Nilanjan

doi:10.1007/978-3-319-44790-2_21

Cited by 21 publications

(5 citation statements)

References 18 publications

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“…The authors in [67] proposed a novel security model for authentication-supported cloud computing. The model introduced a new idea for a biometric security system based on fingerprint recognition.…”

Section: Solutions At Application Levelmentioning

confidence: 99%

Secure Cloud Infrastructure: A Survey on Issues, Current Solutions, and Open Challenges

et al. 2021

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Cloud computing is currently becoming a well-known buzzword in which business titans, such as Microsoft, Amazon, and Google, among others, are at the forefront in developing and providing sophisticated cloud computing systems to their users in a cost-effective manner. Security is the biggest concern for cloud computing and is a major obstacle to users adopting cloud computing systems. Maintaining the security of cloud computing is important, especially for the infrastructure. Several research works have been conducted in the cloud infrastructure security area; however, some gaps have not been completely addressed, while new challenges continue to arise. This paper presents a comprehensive survey of the security issues at different cloud infrastructure levels (e.g., application, network, host, and data). It investigates the most prominent issues that may affect the cloud computing business model with regard to infrastructure. It further discusses the current solutions proposed in the literature to mitigate the different security issues at each level. To assist in solving the issues, the challenges that are still unsolved are summarized. Based on the exploration of the current challenges, some cloud features such as flexibility, elasticity and the multi-tenancy are found to pose new challenges at each infrastructure level. More specifically, the multi-tenancy is found to have the most impact at all infrastructure levels, as it can lead to several security problems such as unavailability, abuse, data loss and privacy breach. This survey concludes by giving some recommendations for future research.

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Section: Solutions At Application Levelmentioning

confidence: 99%

Secure Cloud Infrastructure: A Survey on Issues, Current Solutions, and Open Challenges

et al. 2021

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“…Fingerprint enrollment process, is an essential process of fingerprint recognition system (FRS) in which the biometric data are captured from the sensor and create a digital image, then after Preprocessing applies to digital image for eliminating noise and unnecessary data after this post-processing applies to digital image and stored in the database for recognition purpose. After completing this whole process an individual is defined as enrollment in the system [3] (Fig. 1).…”

Section: Fingerprint Enrollment Processmentioning

confidence: 99%

“…In the Fingerprint verification process captured fingerprint image is one-to-one (1:1) compared with the previously stored template image in sequence to authenticate the accuracy of human beings by using matching algorithms. When two fingerprint images match each other then system validates that the applicant is original or not [3].…”

Section: Fingerprint Verification Processmentioning

confidence: 99%

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Improved Fingerprint Recognition System Using Filtering Techniques

Dhaked¹,

Sharma

Mathuria

2020

Algorithms for Intelligent Systems

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Each person in this world contains a unique fingerprint with a unique biometric characteristic. Human beings can be identified by using the Biometric Impression technique of the friction ridges from the surface of the friction is called a fingerprint. Biometric Fingerprint Impression is a widely used individual identification for forensic applications and civilian applications for a long time. Human behavioral characteristics such as signature, writing, voice, etc., can be changed but their physiological characteristics such as fingerprint, face, retina, etc. cannot be changed within the whole life [1,2].The fingerprint is a vital characteristic of an individual that is used for personal identification. It is analyzed by research that each person has their own fingerprint and these fingerprints can never be changed from birth to death. Through different studies, it has been examined that no two people have the same fingerprint, so they are unique for each and every person. To match different fingerprint images, an individual system is proposed which is known as Fingerprint Recognition System (FRS). The prime concept of fingerprint recognition is that the restriction of person identification such as using passwords or through id-card can be simply eliminated by using the Biometrics characteristic. Fingerprint recognition systems such as biometric systems are basically capable to analyze two fingerprint images that are original and one

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“…• human-biometrics-based (e.g. via fingerprint [6], [7] or retina). The strongest protection can be reached when there is a combination of multiple identity controls.…”

Section: Technology For Prevention Of the Physical Penetration Using mentioning

confidence: 99%

Behaver - Behavioural Patterns Verification for Prevention of Physical Penetration Using Identity Theft

Kurillova¹,

Fischer²,

Hoch³

2018

Komunikácie

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Nowadays every provider of critical infrastructure is obliged to use alarm systems - mainly simple surveillance CCTV cameras - to increase security and safety of those objects. Yet such systems have proven ineffectual in preventing security disrupting situations, such as identity theft, as the most they can do is offer evidence to identify perpetrators of criminal acts once they have occurred. To use them for crime prevention, specially trained personnel need to monitor all screens constantly on the look-out for potentially dangerous activity - which is financially and time-consuming and prone to mistakes. This study aims at developing semi-automatic video surveillance technologies, which are able to detect events of changed behaviour of employees in relation to their standard behaviour - this means for example cases of identity theft, possible blackmail of a person, or safety disrupting cases - an employee might be sick or under influence of drugs what may lead to potentially dangerous acts.

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Multi-fingerprint Unimodel-based Biometric Authentication Supporting Cloud Computing

Cited by 21 publications

References 18 publications

Secure Cloud Infrastructure: A Survey on Issues, Current Solutions, and Open Challenges

Secure Cloud Infrastructure: A Survey on Issues, Current Solutions, and Open Challenges

Improved Fingerprint Recognition System Using Filtering Techniques

Behaver - Behavioural Patterns Verification for Prevention of Physical Penetration Using Identity Theft

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