Toward improving the security of IoT and CPS devices: An AI approach

A Albasir, K Naik, R Manzano - Digital Threats: Research and Practice, 2023 - dl.acm.org
Detecting anomalously behaving devices in security-and-safety-critical applications is an
important challenge. This article presents an off-device methodology for detecting the …

Combining multi-features with a neural joint model for Android malware detection

X Pei, L Yu, S Tian, H Wang… - Journal of Intelligent & …, 2020 - content.iospress.com
Combining natural language processing technology, image analysis technology and
malware detection technology, a novel Android malware detection method, named BIHAD …

A power signal based dynamic approach to detecting anomalous behavior in wireless devices

RJP Soundar Raja James, AA Albasir, K Naik… - Proceedings of the 16th …, 2018 - dl.acm.org
The health and security of wireless devices are fast gaining importance, and these are vital
for effective implementation of sensor networks and Internet of Things (IoT). Any device …

Deep learning based approach for classifying power signals and detecting anomalous behavior of wireless devices

A Albasir, R Manzano, K Naik - 2019 IEEE World Congress on …, 2019 - ieeexplore.ieee.org
The problem of extracting insights from signals is a very interesting and challenging task.
This problem finds its way into the task of detecting malware in wireless devices by …

Unsupervised Detection of Anomalous Behavior in Wireless Devices based on Auto-Encoders

A Albasir, Q Hu, M Al-tekreeti, K Naik… - NOMS 2020-2020 …, 2020 - ieeexplore.ieee.org
A major problem of wireless devices is the detection of security threats in an efficient
manner. Several recent incidents show that malicious applications (apps) can find their ways …