Start Date
October 2018
End Date
October 2018
Location
KC 460
Abstract
Internet of things (IoT) offer new opportunities for advancement in many domains including healthcare, home automation, manufacturing and transportation. In recent years, the number of IoT devices have exponentially risen and this meteoric rise is poised to continue according to the industry. Advances in the IoT integrated with ambient intelligence are intended to make our lives easier. Yet for all these advancements, IoT also has a dark side. Privacy and security were already priorities when personal computers, devices and work stations were the only point of vulnerability to personal information, however, with the ubiquitous nature of smart technologies has increased data collection points around us exponentially. Beyond that, the massive amount of data collected by IoT devices is relatively unknown and uncontrolled by users thereby exacerbating privacy issues and concerns. This study aims to create better understanding of privacy concerns stemming from most popular smart technologies, categorizing the data collected by them. We investigate how the data collection raises information privacy concerns among users of IoT.
Included in
Applied Behavior Analysis Commons, Information Security Commons, Management Information Systems Commons, Technology and Innovation Commons
Information Privacy Concerns in the Age of Internet of Things
KC 460
Internet of things (IoT) offer new opportunities for advancement in many domains including healthcare, home automation, manufacturing and transportation. In recent years, the number of IoT devices have exponentially risen and this meteoric rise is poised to continue according to the industry. Advances in the IoT integrated with ambient intelligence are intended to make our lives easier. Yet for all these advancements, IoT also has a dark side. Privacy and security were already priorities when personal computers, devices and work stations were the only point of vulnerability to personal information, however, with the ubiquitous nature of smart technologies has increased data collection points around us exponentially. Beyond that, the massive amount of data collected by IoT devices is relatively unknown and uncontrolled by users thereby exacerbating privacy issues and concerns. This study aims to create better understanding of privacy concerns stemming from most popular smart technologies, categorizing the data collected by them. We investigate how the data collection raises information privacy concerns among users of IoT.