Deep multimodal learning: A survey on recent advances and trends
D Ramachandram, GW Taylor - IEEE signal processing …, 2017 - ieeexplore.ieee.org
The success of deep learning has been a catalyst to solving increasingly complex machine-
learning problems, which often involve multiple data modalities. We review recent advances …
learning problems, which often involve multiple data modalities. We review recent advances …
Continuous user authentication on mobile devices: Recent progress and remaining challenges
Recent developments in sensing and communication technologies have led to an explosion
in the use of mobile devices such as smart phones and tablets. With the increase in the use …
in the use of mobile devices such as smart phones and tablets. With the increase in the use …
Passgan: A deep learning approach for password guessing
State-of-the-art password guessing tools, such as HashCat and John the Ripper, enable
users to check billions of passwords per second against password hashes. In addition to …
users to check billions of passwords per second against password hashes. In addition to …
A comprehensive overview of biometric fusion
The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …
fingerprints only) is often stymied by various factors such as poor data quality or limited …
Security and privacy challenges in mobile cloud computing: Survey and way ahead
MB Mollah, MAK Azad, A Vasilakos - Journal of Network and Computer …, 2017 - Elsevier
The rapid growth of mobile computing is seriously challenged by the resource constrained
mobile devices. However, the growth of mobile computing can be enhanced by integrating …
mobile devices. However, the growth of mobile computing can be enhanced by integrating …
Sensor-based continuous authentication of smartphones' users using behavioral biometrics: A contemporary survey
Mobile devices and technologies have become increasingly popular, offering comparable
storage and computational capabilities to desktop computers allowing users to store and …
storage and computational capabilities to desktop computers allowing users to store and …
Deep learning approaches for continuous authentication based on activity patterns using mobile sensing
S Mekruksavanich, A Jitpattanakul - Sensors, 2021 - mdpi.com
Smartphones as ubiquitous gadgets are rapidly becoming more intelligent and context-
aware as sensing, networking, and processing capabilities advance. These devices provide …
aware as sensing, networking, and processing capabilities advance. These devices provide …
Behavioral biometrics & continuous user authentication on mobile devices: A survey
This paper offers an up-to-date, comprehensive, extensive and targeted survey on
Behavioral Biometrics and Continuous Authentication technologies for mobile devices. Our …
Behavioral Biometrics and Continuous Authentication technologies for mobile devices. Our …
AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors
Smartphones have become crucial for our daily life activities and are increasingly loaded
with our personal information to perform several sensitive tasks, including, mobile banking …
with our personal information to perform several sensitive tasks, including, mobile banking …
Behavioral biometrics for continuous authentication in the internet-of-things era: An artificial intelligence perspective
In the Internet-of-Things (IoT) era, user authentication is essential to ensure the security of
connected devices and the customization of passive services. However, conventional …
connected devices and the customization of passive services. However, conventional …