PRIVACY-PRESERVING RELATIVE LOCATION BASED SERVICES FOR MOBILE USERS

ABSTRACT: Location-aware applications have been used widely with the assistance of the latest positioning features in Smart Phone such as GPS, AGPS, etc. However, all the existing applications gather users’ geographical data and transfer them into the pertinent information to give meaning and value. For this kind of solutions, the user’s privacy and security...

PRIVACY-PRESERVING DETECTION OF SENSITIVE DATA EXPOSURE

ABSTRACT: Statistics from security firms, research institutions and government organizations show that the numbers of data-leak instances have grown rapidly in recent years. Among various data-leak cases, human mistakes are one of the main causes of data loss. There exist solutions detecting inadvertent sensitive data leaks caused by human mistakes and to provide alerts...

PRIVACY POLICY INFERENCE OF USER-UPLOADED IMAGES ON CONTENT SHARING SITES

 ABSTRACT: With the increasing volume of images users share through social sites, maintaining privacy has become a major problem, as demonstrated by a recent wave of publicized incidents where users inadvertently shared personal information. In light of these incidents, the need of tools to help users control access to their shared content is apparent....

Android Classes inheriting from the Activity superclass

Android Classes inheriting from the Activity superclass Intents and Android context In Android systems, applications run in compartmentalized environments so that they do not impact the behavior of other executions. Intents are part of the exchange mechanism between application resources to inform the system of an intention to access a resource. The Intent class...

PREDICTING ASTHMA-RELATED EMERGENCY DEPARTMENT VISITS USING BIG DATA

ABSTRACT: Asthma is one of the most prevalent and costly chronic conditions in the United States which cannot be cured. However accurate and timely surveillance data could allow for timely and targeted interventions at the community or individual level. Current national asthma disease surveillance systems can have data availability lags of up to two...

PERFORMING INITIATIVE DATA PREFETCHING IN DISTRIBUTED FILE SYSTEMS FOR CLOUD COMPUTING

ABSTRACT: An initiative data prefetching scheme on the storage servers in distributed file systems for cloud computing. In this prefetching technique, the client machines are not substantially involved in the process of data prefetching, but the storage servers can directly prefetch the data after analyzing the history of disk I/O access events, and then...

Optimal Configuration of Network Coding in Ad Hoc Networks

Abstract:  Analyze the impact of network coding (NC) configuration on the performance of ad hoc networks with the consideration of two significant factors, namely, the throughput loss and the decoding loss, which are jointly treated as the overhead of NC. In particular, physical-layer NC and random linear NC are adopted in static and mobile...

ON TRAFFIC-AWARE PARTITION AND AGGREGATION IN MAPREDUCE FOR BIG DATA APPLICATIONS

ABSTRACT: MapReduce job, we consider to aggregate data with the same keys before sending them to remote reduce tasks. Although a similar function, called combine, has been already adopted by Hadoop, it operates immediately after a map task solely for its generated data, failing to exploit the data aggregation opportunities among multiple tasks on...

Network-Based Modeling and Intelligent Data Mining of Social Media for Improving Care

Abstract Intelligently extracting knowledge from social media has recently attracted great interest from the Biomedical and Health Informatics community to simultaneously improve healthcare outcomes and reduce costs using consumer-generated opinion. We propose a two-step analysis framework that focuses on positive and negative sentiment, as well as the side effects of treatment, in users’ forum...