Genuine Authentication: Centralized Infrastructure to Seamlessly Integrate Facial Recognition Capabilities into your Web Application


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 :

  1. Bajpai S, Singh A and Karthik KV 2013 An experimental comparison of face detection algorithms Int J Computer Theory and Engineering 5 p 47
  2. 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.
  3. 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
  4. 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
  5. Ma S and Du T 2010 Improved Adaboost face detection Int Conf Measuring Technology and Mechatronics Automation (IEEE) 2 pp 434-37
  6. 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
  7. 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
  8. 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)
  9. 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
  10. 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.

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