3 citations · 7 across the 10 of their papers we have counts for
12 papers
XYZ Privacy
Josh Joy, Dylan Gray, Ciaran McGoldrick +1
Future autonomous vehicles will generate, collect, aggregate and consume significant volumes of data as key gateway devices in emerging Internet of Things scenarios. While vehicles…
Differential Privacy By Sampling
Josh Joy, Mario Gerla
In this paper we present the Sampling Privacy mechanism for privately releasing personal data. Sampling Privacy is a sampling based privacy mechanism that satisfies differential pr…
Distributed Differential Privacy By Sampling
Joshua Joy
In this paper, we describe our approach to achieve distributed differential privacy by sampling alone. Our mechanism works in the semi-honest setting (honest-but-curious whereby ag…
Anonymized Local Privacy
Joshua Joy, Mario Gerla
In this paper, we introduce the family of Anonymized Local Privacy mechanisms. These mechanisms have an output space of three values "Yes", "No", or "" (not participating) a…
MPC Validation and Aggregation of Unit Vectors
Dylan Gray, Joshua Joy, Mario Gerla
When dealing with privatized data, it is important to be able to protect against malformed user inputs. This becomes difficult in MPC systems as each server should not contain enou…
Mobile Privacy-Preserving Crowdsourced Data Collection in the Smart City
Joshua Joy, Ciaran McGoldrick, Mario Gerla
Smart cities rely on dynamic and real-time data to enable smart urban applications such as intelligent transport and epidemics detection. However, the streaming of big data from Io…
LocationSafe: Granular Location Privacy for IoT Devices
Joshua Joy, Minh Le, Mario Gerla
Today, mobile data owners lack consent and control over the release and utilization of their location data. Third party applications continuously process and access location data w…
PAS-MC: Privacy-preserving Analytics Stream for the Mobile Cloud
Josh Joy, Mario Gerla
In today's digital world, personal data is being continuously collected and analyzed without data owners' consent and choice. As data owners constantly generate data on their perso…
Participation Cost Estimation: Private Versus Non-Private Study
Joshua Joy, Sayali Rajwade, Mario Gerla
In our study, we seek to learn the real-time crowd levels at popular points of interests based on users continually sharing their location data. We evaluate the benefits of users s…
A New Approach to Coding in Content Based MANETs
Joshua Joy, Yu-Ting Yu, Victor Perez +2
In content-based mobile ad hoc networks (CB-MANETs), random linear network coding (NC) can be used to reliably disseminate large files under intermittent connectivity. Conventional…
Secure Personal Content Networking over Untrusted Devices
Uichin Lee, Joshua Joy, Youngtae Noh
Securely sharing and managing personal content is a challenging task in multi-device environments. In this paper, we design and implement a new platform called Personal Content Net…
DiscoverFriends: Secure Social Network Communication in Mobile Ad Hoc Networks
Joshua Joy, Eric Chung, Zengwen Yuan +3
This paper presents a secure communication application called DiscoverFriends. Its purpose is to securely communicate to a group of online friends while bypassing their respective…