activity
20152017
most citedCentralized Network Utility Maximization over Aggregate Flows

11 citations · 15 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CR2017

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…

cs.NI2017

Routing in Mobile Ad-Hoc Networks using Social Tie Strengths and Mobility Plans

Riten Gupta, Niyant Krishnamurthi, Uen-Tao Wang +2

We consider the problem of routing in a mobile ad-hoc network (MANET) for which the planned mobilities of the nodes are partially known a priori and the nodes travel in groups. Thi…

cs.NI201711 cited

Centralized Network Utility Maximization over Aggregate Flows

Riten Gupta, Lieven Vandenberghe, Mario Gerla

We study a network utility maximization (NUM) decomposition in which the set of flow rates is grouped by source-destination pairs. We develop theorems for both single-path and mult…

cs.CR2017

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…

cs.CR20163 cited

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…

cs.CR2016

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…