Abstract
Radio Frequency Identification (RFID) is a new technology which allows a sensor (reader) to read, from a distance, and without line of sight, a unique product identification code (EPC) associated with a tag. Such tags are very useful in inventory management and logistics, because they can be used in order to track the movement and locations of large volumes of items in a cost effective way. This leads to massive streams of noisy data, which can be used in the context of a variety of data management and event processing algorithms. The use of RFID also has a number of privacy challenges associated with it, because a tag on an item being carried by a person, also becomes a unique location tag for that person. Therefore, methods need to to be designed to increase the privacy and security of RFID technology. This chapter will provide a broad overview and survey of a variety of RFID data management, mining and processing techniques. We will also discuss the privacy and security issues associated with the use of RFID technology.
Original language | English (US) |
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Title of host publication | Managing and Mining Sensor Data |
Publisher | Springer |
Pages | 349-382 |
Number of pages | 34 |
Volume | 9781461463092 |
ISBN (Electronic) | 9781461463092 |
ISBN (Print) | 1461463084, 9781461463085 |
DOIs | |
State | Published - Jul 1 2013 |
Keywords
- RFID Data
- RFID Mining
ASJC Scopus subject areas
- General Computer Science