With the introduction of the Amazon Echo family and Google devices like Chromecast and Home the adoption of IoT devices in the household is bound to increase exponentially this year. While usability is at the front and centre of the experience to facilitate the adoption and use of these new devices, security and privacy are often an afterthought. As a consequence, a dangerous environment of opportunity is available for malicious actors to exploit vulnerable devices sitting in domestic houses.
The work described in this website has been conducted within the project NeCS. This project has received funding from the European Union’s Horizon 2020 (H2020) research and innovation programme under the Grant Agreement no 675320. This website and the content displayed in it do not represent the opinion of the European Union, and the European Union is not responsible for any use that might be made of its content.
On-demand ride services and the rideshare infrastructure primarily focus on the minimization of travel time and cost. However, the safety of riders is overlooked by service providers. For driver authentication, existing identity management methods typically check the driving license, which can be easily stolen, forged, or misused. Further, background checks are not performed at all; instead, social profiles and peer reviews are used to foster trust, thereby compromising the safety and security of riders.
Smartphones are the most popular and widespread personal devices. Apart from their conventional use, i.e., calling and texting, they have also been used to perform multiple security-sensitive activities, such as online banking and shopping, social networking, taking pictures and emailing. On a positive side, smartphones have improved the quality of life by providing multiple services that users desire, e.g., anytime-anywhere computing, etc. However, on the other side, they also pose security and privacy threats to the users’ stored data.
This paper introduces DialerAuth - a mechanism which leverages the way a smartphone user taps/enters any “text-independent" 10-digit number (replicating the dialing process) and the hand’s micro-movements she makes while doing so. DialerAuth authenticates the user on the basis of timing differences in the entered 10-digit strokes. DialerAuth provides enhanced security by leveraging the transparent and unobservable layer based on another
Due to the increasing pervasiveness of Internet of Things (IoT) and Internet of Everything (IoE) devices, securing both their communications and operations has become of capital importance. Among the several existing IoT protocols, Message Queue Telemetry Transport (MQTT) is a widely-used general purpose one, usable in both constrained and powerful devices, which coordinates data exchanges through a publish/subscribe approach. In this paper, we propose a methodology to increase the security of the MQTT protocol, by including Usage Control in its operative workflow.