Submission Title
Session Title
Session 2-1-E: Data, Data, and More (Big?) Data in the Gaming and Hospitality Business
Presentation Type
Event
Location
The Mirage Hotel & Casino, Las Vegas, Nevada
Start Date
8-6-2016 8:30 AM
End Date
8-6-2016 10:00 AM
Disciplines
Gaming and Casino Operations Management | Hospitality Administration and Management | Statistics and Probability | Tourism and Travel
Abstract
In this paper we present a summary of our activity associated with the security and encryption the big data on the hotels big data. We give a brief introduction to some techniques for security the data set in large scale, we then look into the homomorphism and Map Reduce environment. With the advances in computer architecture and silicon technology, processing large data set becomes possible after some fundamental data storage and processing algorithm been proposed and implemented. Analyzing the big data opened many opportunities for scientists in different research and application areas. Hospitality industry, for example, collects and keeps customers information, which proposed some significant challenges to be addressed. The first challenge how to save and keep all these massive data set; and the second challenge is securing this sensitive information. In this paper we will discuss Parallel Homomorphic Encryption (PHE) security method which can be used in companies’ information storage, processing and management.
Keywords
Bigdata, homomorphic encryption, Hadoop, Mapreduce
Streaming Media
Included in
Gaming and Casino Operations Management Commons, Statistics and Probability Commons, Tourism and Travel Commons
Privacy-preserving Data Mining on Hospitality Big Data
The Mirage Hotel & Casino, Las Vegas, Nevada
In this paper we present a summary of our activity associated with the security and encryption the big data on the hotels big data. We give a brief introduction to some techniques for security the data set in large scale, we then look into the homomorphism and Map Reduce environment. With the advances in computer architecture and silicon technology, processing large data set becomes possible after some fundamental data storage and processing algorithm been proposed and implemented. Analyzing the big data opened many opportunities for scientists in different research and application areas. Hospitality industry, for example, collects and keeps customers information, which proposed some significant challenges to be addressed. The first challenge how to save and keep all these massive data set; and the second challenge is securing this sensitive information. In this paper we will discuss Parallel Homomorphic Encryption (PHE) security method which can be used in companies’ information storage, processing and management.
Comments
PDF contains 21 slides