Panel Title

Session 2-1-E: Data, Data, and More (Big?) Data in the Gaming and Hospitality Business

Location

The Mirage Hotel & Casino, Las Vegas, Nevada

Start Date

8-6-2016 8:30 AM

End Date

8-6-2016 10:00 AM

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.

Streaming Media

Privacy-preserving Data Mining on Hospitality Big Data

Keywords

Bigdata; homomorphic encryption; Hadoop; Mapreduce

Disciplines

Gaming and Casino Operations Management | Hospitality Administration and Management | Statistics and Probability | Tourism and Travel

Comments

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Jun 8th, 8:30 AM Jun 8th, 10:00 AM

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.