Guest Editors
Dr. Muhammad Ahmad, National University of Computer & Emerging Sciences, Pakistan.
Prof. Dr. Ali Kashif Bashir, Manchester Metropolitan University, United Kingdom.
Prof. Dr. Diego Alberto Oliva Navarro, Universidad de Guadalajara, Mexico.
Summary
Smartphone and Smartwatch users exponentially increased by 3 billion and are expected to further grow by several hundred million in near future. Boosted by information and communication technologies, smartphones and Smartwatches are becoming a more and more powerful and thus trustworthy inseparable companion of our lives. Moreover, Smartphones and Smartwatches have ubiquitously integrated into our home and work environments, however, users normally rely on explicit but inefficient identification and authentication processes in a controlled environment (laboratory process). Therefore, when a Smartphone or Smartwatch is stolen, a thief can have access to the owner's personal information and services against the stored passwords that have forced the community to study the security implications of these devices. As a result of this potential scenario, this Special Collection aims to collect new automatic legitimate user identification systems and possible innovative/technical reviews for future research directions.
Keywords
Smartphone and Smartwatch based Physical Activity Recognition
Legitimate User Identification / Authentication
Information and Communication Technologies
Multi-level and Multi-sensor data fusion
IoT and security
Published Papers
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