@article {ferraris2020, title = {A Trust Model for Popular Smart Home Devices}, journal = {International Journal of Information Security}, year = {2020}, publisher = {Springer}, abstract = {

Nowadays, smart home devices like Amazon Echo and Google Home have reached mainstream popularity.
Being in the homes of users, these devices are intrinsically intrusive, being able to access details such as users{\textquoteright} name, gender, home address, calendar appointments and others.
There are growing concerns about indiscriminate data collection and invasion of user privacy in smart home devices, but studies show that perceived benefits are exceeding perceived risks when it comes to consumers.
As a result, consumers are placing a lot of trust in these devices, sometimes without realizing it.
Improper trust assumptions and security controls can lead to unauthorized access and control of the devices, which can result in serious consequences.
In this paper, we explore the behaviour of devices such as Amazon Echo and Google Home in a smart home setting with respect to trust relationships and propose a trust model to improve these relationships among all the involved actors.
We have evaluated how trust was built and managed from the initial set up phase to the normal operation phase, during which we performed a number of interaction tests with different types of users (i.e. owner, guests).
As a result, we were able to assess the effectiveness of the provided security controls and identify potential relevant security issues.\  In order to address the identified issues, we defined a trust model and propose a solution based on it for further securing smart home systems.

}, keywords = {Internet of Things, privacy, security, Smart Home, Trust}, issn = {1615-5262}, doi = {10.1007/s10207-020-00519-2}, url = {https://link.springer.com/article/10.1007/s10207-020-00519-2}, author = {Davide Ferraris and Daniel Bastos and Carmen Fernandez-Gago and Fadi El-Moussa} } @article {Fer_IS17, title = {Modelling Trust Dynamics in the Internet of Things}, journal = {Information Sciences}, volume = {396}, year = {2017}, pages = {72-82}, publisher = {Elsevier}, abstract = {

The Internet of Things (IoT) is a paradigm based on the interconnection of\ everyday objects. It is expected that the {\textquoteleft}things{\textquoteright} involved in the IoT paradigm\ will have to interact with each other, often in uncertain conditions. It is therefore\ of paramount importance for the success of IoT that there are mechanisms in\ place that help overcome the lack of certainty. Trust can help achieve this goal.\ In this paper, we introduce a framework that assists developers in including\ trust in IoT scenarios. This framework takes into account trust, privacy and\ identity requirements as well as other functional requirements derived from IoT\ scenarios to provide the different services that allow the inclusion of trust in the\ IoT.

}, keywords = {Dynamic Framework, Internet of Things, Trust}, issn = {0020-0255}, doi = {10.1016/j.ins.2017.02.039}, author = {Carmen Fernandez-Gago and Francisco Moyano and Javier Lopez} }