Fatigue Detection using Smartphones

Human Activity Detection using Smartphones and Maps

Intrusion Detection on Smartphones

Smartphone technology is more and more becoming the predominant communication tool for people across the world. People use their smartphones to keep their contact data, to browse the internet, to exchange messages, to keep notes, carry their personal files and documents, etc. Users while browsing are also capable of shopping online, thus provoking a need to type their credit card numbers and se...

Behaviour Based Anomaly Detection for Smartphones Using Machine Learning Algorithm

Since the first handheld cellular phone was introduced in 1973, the mobile phones have evolved into immensely popular smartphones. These devices provide all-in-one expediency by integrating traditional mobile phones with handheld computing devices making them more open and general purpose. Smartphones have become hosts for sensitive or personal data and applications. However many smartphones ar...

Accessible Melanoma Detection using Smartphones and Mobile Image Analysis

We investigate the design of an entire mobile imaging system for early detection of melanoma. Different from previous work, we focus on smartphone-captured visible light images. Our design addresses two major challenges. First, images acquired using a smartphone under loosely-controlled environmental conditions may be subject to various distortions, and this makes melanoma detection more diffic...

Monitoring smartphones for anomaly detection

In this paper we demonstrate how to monitor a smartphone running Symbian operating system and Windows Mobile in order to extract features for anomaly detection. These features are sent to a remote server because running a complex intrusion detection system (IDS) on this kind of mobile device still is not feasible due to capability and hardware limitations. We give examples on how to compute rel...