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 for […]
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. Toward […]
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. Toward […]
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 describes […]
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 weeks. […]
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 weeks. […]
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 send […]
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 send […]
PASSIVE IP TRACEBACK: DISCLOSING THE LOCATIONS OF IP SPOOFERS FROM PATH BACKSCATTER
ABSTRACT: It is long known attackers may use forged source IP address to conceal their real locations. To capture the spoofers, a number of IP traceback mechanisms have been proposed. However, due to the challenges of deployment, there has been not a widely adopted IP traceback solution, at least at the Internet level. As a […]
PASSIVE IP TRACEBACK: DISCLOSING THE LOCATIONS OF IP SPOOFERS FROM PATH BACKSCATTER
ABSTRACT: It is long known attackers may use forged source IP address to conceal their real locations. To capture the spoofers, a number of IP traceback mechanisms have been proposed. However, due to the challenges of deployment, there has been not a widely adopted IP traceback solution, at least at the Internet level. As a […]
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 ad […]
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 ad […]
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 different […]
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 different […]
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 posts, […]
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 posts, […]
NEIGHBOR SIMILARITY TRUST AGAINST SYBIL ATTACK IN P2P E-COMMERCE
ABSTRACT: In this paper, we present a distributed structured approach to Sybil attack. This is derived from the fact that our approach is based on the neighbor similarity trust relationship among the neighbor peers. Given a P2P e-commerce trust relationship based on interest, the transactions among peers are flexible as each peer can decide to […]
NEIGHBOR SIMILARITY TRUST AGAINST SYBIL ATTACK IN P2P E-COMMERCE
ABSTRACT: In this paper, we present a distributed structured approach to Sybil attack. This is derived from the fact that our approach is based on the neighbor similarity trust relationship among the neighbor peers. Given a P2P e-commerce trust relationship based on interest, the transactions among peers are flexible as each peer can decide to […]
MAXIMIZING P2P FILE ACCESS AVAILABILITY IN MOBILE ADHOC NETWORKS THOUGH REPLICATION FOR EFFICIENT FILE SHARING
ABSTRACT: File sharing applications in mobile ad hoc networks (MANETs) have attracted more and more attention in recent years. The efficiency of file querying suffers from the distinctive properties of such networks including node mobility and limited communication range and resource. An intuitive method to alleviate this problem is to create file replicas in the […]
MAXIMIZING P2P FILE ACCESS AVAILABILITY IN MOBILE ADHOC NETWORKS THOUGH REPLICATION FOR EFFICIENT FILE SHARING
ABSTRACT: File sharing applications in mobile ad hoc networks (MANETs) have attracted more and more attention in recent years. The efficiency of file querying suffers from the distinctive properties of such networks including node mobility and limited communication range and resource. An intuitive method to alleviate this problem is to create file replicas in the […]