Authors :
Santhosh M.; Naveen Prasad K.; Koshik Rishi M.; Jawaharsrinath M.N.
Volume/Issue :
Volume 9 - 2024, Issue 12 - December
Google Scholar :
https://tinyurl.com/2s4fpfkm
Scribd :
https://tinyurl.com/2z96skrc
DOI :
https://doi.org/10.5281/zenodo.14557606
Abstract :
As cyberattacks grow in complexity,
traditional authentication systems face increasing
vulnerabilities. Generative Authentication offers a
robust solution by integrating facial recognition as a
secondary security layer. This paper discusses the
implementation of a micro SaaS tool enabling businesses
to adopt this technology through APIs. Testing has
shown a marked improvement in access security and
user satisfaction while maintaining cost-efficiency. By
addressing critical issues in token-based authentication,
Generative Authentication ensures a scalable, resilient
framework for secure access.
Keywords :
Biometric Security, Facial Recognition, Generative Authentication, SaaS, Cybersecurity, Token Vulnerabilities, API Integration, Liveness Detection, Authentication Systems.
References :
- Bajpai S, Singh A and Karthik KV 2013 An experimental comparison of face detection algorithms Int J Computer Theory and Engineering 5 p 47
- Rath SK and Rautaray SS 2014 A survey on face detection and recognition techniques in different application domains Int J Modern Education and Computer Science 6 p 34.
- Chandrapala DN, Akshay G and Ravishankar M 2012 Face detection using a boosted cascade of features using OpenCV Int Conf Information Processing (Springer, Berlin, Heidelberg) pp 399-404
- Mori K, Masutani M and Suzuki T 2005 Face recognition using SVM fed with intermediate output of CNN for face detection MWA pp 406-113
- Ma S and Du T 2010 Improved Adaboost face detection Int Conf Measuring Technology and Mechatronics Automation (IEEE) 2 pp 434-37
- Cümezi L, Zhuqing Q, Nan J and Jinmab W 2017 Human face detection algorithm via Haar cascade classifier combined with three additional classifiers 3rd IEEE Int Conf Electronic Measurement & Instruments (ICEMI) pp 483-87
- Zhou H, Chen P and Shen W 2017 A multi-view face recognition system based on cascade face detector and improved Dlib MIPPR 2017: Pattern Recognition and Computer Vision 2018 (International Society for Optics and Photonics) 10609 p 1060908
- Cerna LR, Camara-Chavez G and Menotti D 2013 Face detection: Histogram of oriented gradients and bag of feature method Proc Int Conf Image Processing, Computer Vision, and Pattern Recognition (WorldComp I)
- Shavers C, Li R and Lekberg G 2006 An SVM-based approach to face detection Proc 38th Southeastern Symposium on System Theory (IEEE) pp 362-66
- Zhang K, Zhang Z, Li Z and Qiao Y 2016 Joint face detection and alignment using multitask cascaded convolutional networks IEEE Signal Processing Letters 23 pp 1499-503
As cyberattacks grow in complexity,
traditional authentication systems face increasing
vulnerabilities. Generative Authentication offers a
robust solution by integrating facial recognition as a
secondary security layer. This paper discusses the
implementation of a micro SaaS tool enabling businesses
to adopt this technology through APIs. Testing has
shown a marked improvement in access security and
user satisfaction while maintaining cost-efficiency. By
addressing critical issues in token-based authentication,
Generative Authentication ensures a scalable, resilient
framework for secure access.
Keywords :
Biometric Security, Facial Recognition, Generative Authentication, SaaS, Cybersecurity, Token Vulnerabilities, API Integration, Liveness Detection, Authentication Systems.