A Multimodal Authentication for Biometric Recognition System using Intelligent Hybrid Fusion Techniques

Prabu, S.; Лакшманан, М.; Mohammed, V. Noor

doi:10.1007/s10916-019-1391-5

Cited by 28 publications

(13 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Prabu et al [44] exploited the effective linear binary pattern and scaled invariant Fourier transform to process and store the biometrics of hand type and iris into database, and then utilized neural network and Bayesian network classifier to detect, due to mix the two biological features together, the recognition is inefficient. Musab et al [45] exploited CNN (Convolutional Neural Network) to improve the recognition effect of face recognition.…”

Section: Inaccurate Identification Problems and Solutionsmentioning

confidence: 99%

The Overview of Database Security Threats’ Solutions: Traditional and Machine Learning

Wang¹,

Xi²,

Cheng³

2021

JIS

View full text Add to dashboard Cite

As an information-rich collective, there are always some people who choose to take risks for some ulterior purpose and others are committed to finding ways to deal with database security threats. The purpose of database security research is to prevent the database from being illegally used or destroyed. This paper introduces the main literature in the field of database security research in recent years. First of all, we classify these papers, the classification criteria are the influencing factors of database security. Compared with the traditional and machine learning (ML) methods, some explanations of concepts are interspersed to make these methods easier to understand. Secondly, we find that the related research has achieved some gratifying results, but there are also some shortcomings, such as weak generalization, deviation from reality. Then, possible future work in this research is proposed. Finally, we summarize the main contribution.

show abstract

Section: Inaccurate Identification Problems and Solutionsmentioning

confidence: 99%

The Overview of Database Security Threats’ Solutions: Traditional and Machine Learning

Wang¹,

Xi²,

Cheng³

2021

JIS

View full text Add to dashboard Cite

show abstract

“…Other studies [50,51] introduced a feature-ranking algorithm and the outcomes were assessed for the kernel-NN classifier prototypical formed sideways with the suggested procedure, an ID of 90.44% for the 1st structure, 94.44% for the 2nd structure, and 87.22% for the 3rd structure has effectively been achieved. Sohrabi et al [52] introduced a structure for consumers' interactive sketching construction is accessible and client interactive designs are used for client ID in the e-Commerce surroundings.…”

Section: Related Workmentioning

confidence: 99%

Improvement of confusion matrix for Hand Vein Recognition Based On Deep- Learning multi-classifier Decisions

Nawwar

Kasban

Salama

2021

Arab Journal of Nuclear Sciences and Applications

View full text Add to dashboard Cite

“…Public key cryptography (asymmetric cryptography) is the most widely used type of cryptography to secure data in most fields. On the other hand, symmetric cryptography is mostly used in the military field [24][25][26][27][28][29][30][31].…”

Section: Cryptography Involves Mathematics and Computermentioning

confidence: 99%

Vulnerabilities in Public Key Cryptography

Abdulla¹,

Rana²

2021

Atlantis Highlights in Computer Sciences

View full text Add to dashboard Cite

Cryptography plays a vital role in securing data for IT infrastructure by enabling an adequate level of security to the business. The increased significance of security in the IT infrastructure has raised the demand for public key cryptography. Public key cryptography eliminates the primary concern in private key cryptography, i.e. exchanging the key between the sender and the receiver by having a pair of keys. Public key cryptography enables the exchange of the key even in an unsecured network. After the introduction of public key cryptography, this type of cryptography is the best solution in securing the transmitted data between the sender and the receiver. However, there are vulnerabilities in this type of cryptography that both the sender and the receiver need to know. This research is focused on determining the vulnerabilities of public key cryptography. It also emphasizes how security specialists can overcome these vulnerabilities in public key cryptography.

show abstract

A Multimodal Authentication for Biometric Recognition System using Intelligent Hybrid Fusion Techniques

Cited by 28 publications

References 7 publications

The Overview of Database Security Threats’ Solutions: Traditional and Machine Learning

The Overview of Database Security Threats’ Solutions: Traditional and Machine Learning

Improvement of confusion matrix for Hand Vein Recognition Based On Deep- Learning multi-classifier Decisions

Vulnerabilities in Public Key Cryptography

Contact Info

Product

Resources

About