Applications of recurrent neural network for biometric authentication & anomaly detection
Recurrent Neural Networks are powerful machine learning frameworks that allow for data to
be saved and referenced in a temporal sequence. This opens many new possibilities in …
be saved and referenced in a temporal sequence. This opens many new possibilities in …
Using machine learning for dynamic authentication in telehealth: A tutorial
Telehealth systems have evolved into more prevalent services that can serve people in
remote locations and at their homes via smart devices and 5G systems. Protecting the …
remote locations and at their homes via smart devices and 5G systems. Protecting the …
Machine and deep learning applications to mouse dynamics for continuous user authentication
Static authentication methods, like passwords, grow increasingly weak with advancements
in technology and attack strategies. Continuous authentication has been proposed as a …
in technology and attack strategies. Continuous authentication has been proposed as a …
A modern analysis of aging machine learning based IOT cybersecurity methods
Modern scientific advancements often contribute to the introduction and refinement of never-
before-seen technologies. This can be quite the task for humans to maintain and monitor …
before-seen technologies. This can be quite the task for humans to maintain and monitor …
Hold on and swipe: a touch-movement based continuous authentication schema based on machine learning
In recent years, the amount of secure information being stored on mobile devices has grown
exponentially. However, current security schemas for mobile devices such as physiological …
exponentially. However, current security schemas for mobile devices such as physiological …
Your battery is a blast! safeguarding against counterfeit batteries with authentication
Lithium-ion (Li-ion) batteries are the primary power source in various applications due to
their high energy and power density. Their market was estimated to be up to 48 billion US …
their high energy and power density. Their market was estimated to be up to 48 billion US …
A close look into human activity recognition models using deep learning
Human activity recognition using deep learning techniques has become increasing popular
because of its high effectivity with recognizing complex tasks, as well as being relatively low …
because of its high effectivity with recognizing complex tasks, as well as being relatively low …
Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile Authentication
Throughout the past several decades, mobile devices have evolved in capability and
popularity at growing rates while improvement in security has fallen behind. As smartphones …
popularity at growing rates while improvement in security has fallen behind. As smartphones …
Using deep learning to detecting deepfakes
In the recent years, social media has grown to become a major source of information for
many online users. This has given rise to the spread of misinformation through deepfakes …
many online users. This has given rise to the spread of misinformation through deepfakes …
Machine learning algorithms in user authentication schemes
L Pryor, R Dave, J Seliya… - … Conference on Electrical …, 2021 - ieeexplore.ieee.org
In the past two decades, the number of mobile products being created by companies has
grown exponentially. However, although these devices are constantly being upgraded with …
grown exponentially. However, although these devices are constantly being upgraded with …