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Safer@Home Analytics: A Big Data Analytical Solution for Smart Homes
Found in: 2013 IEEE 5th International Conference on Cloud Computing Technology and Science (CloudCom)
By Antorweep Chakravorty,Tomasz Wlodarczyk,Chunming Rong
Issue Date:December 2013
pp. 705-710
The vast amounts of data generated from sensors in smart homes, can give valuable insights about social and behavioral patters on households and their residents. The goal of the project is investigation & implementation of mechanisms to capture/sto...
 
Improving the Compliance of Transplantation Medicine Patients with an Integrated Mobile System
Found in: Hawaii International Conference on System Sciences
By Tim A. Majchrzak,Antorweep Chakravorty
Issue Date:January 2012
pp. 2696-2705
Progress in healthcare has brought cure for severe ailments and greatly improved the quality of life of many patients. At the same time, the complexity of treatments has increased: patients do not understand treatment plans or fail to timely take the inten...
   
On Access Control Schemes for Hadoop Data Storage
Found in: 2013 International Conference on Cloud Computing and Big Data (CloudCom-Asia)
By Chunming Rong,Zhou Quan,Antorweep Chakravorty
Issue Date:December 2013
pp. 641-645
Hadoop is a distributed Big Data storage and processing framework hugely adopted in different sectors from online media, education, government and social media to handle the enormous growth of information in their respective domains. However, the core arch...
 
Privacy Preserving Data Analytics for Smart Homes
Found in: 2013 IEEE CS Security and Privacy Workshops (SPW2013)
By Antorweep Chakravorty,Tomasz Wlodarczyk, Chunming Rong
Issue Date:May 2013
pp. 23-27
A framework for maintaining security & preserving privacy for analysis of sensor data from smart homes, without compromising on data utility is presented. Storing the personally identifiable data as hashed values withholds identifiable information from...
   
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