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Enchancing RFID data quality and reliability using approximate filtering techniques

Radio Frequency Identification (RFID) is an emerging auto-identification technology that uses radio waves to identify and track physical objects without the line of sight. While delivering significant improvements in various aspects, such as, stock management and inventory accuracy, there are ser...

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Main Author: Kamaludin, Hazalila
Format: Thesis
Language:English
English
English
Published: 2018
Subjects:
TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Online Access:http://eprints.uthm.edu.my/190/1/24p%20HAZALILA%20KAMALUDIN.pdf
http://eprints.uthm.edu.my/190/2/HAZALILA%20KAMALUDIN%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/190/3/HAZALILA%20KAMALUDIN%20WATERMARK.pdf
http://eprints.uthm.edu.my/190/
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spelling my.uthm.eprints.1902021-07-06T07:56:04Z http://eprints.uthm.edu.my/190/ Enchancing RFID data quality and reliability using approximate filtering techniques Kamaludin, Hazalila TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Radio Frequency Identification (RFID) is an emerging auto-identification technology that uses radio waves to identify and track physical objects without the line of sight. While delivering significant improvements in various aspects, such as, stock management and inventory accuracy, there are serious data management issues that affect RFID data quality in preparing reliable solutions. The raw read rate in real world RFID deployments is often in the 60-70% range and naturally unreliable because of redundant and false readings. The redundant readings result in unnecessary storage and affect the efficiency of data processing. Furthermore, false readings that focused on false positive readings generated by cloned tag could be mistakenly considered as valid and affects the final results and decisions. Therefore, two approaches to enhance the RFID data quality and reliability were proposed. A redundant reading filtering approach based on modified Bloom Filter is presented as the existing Bloom Filter based approaches are quite intricate. Meanwhile, even though tag cloning has been identified as one of the serious RFID security issue, it only received little attention in the literature. Therefore we developed a lightweight anti-cloning approach based on modified Count- Min sketch vector and tag reading frequency from e-pedigree in observing identical Electronic Product Code (EPC) of the low cost tag in local site and distributed region in supply chain. Experimental results showed, that the first proposed approach, Duplicate Filtering Hash (DFH) achieved the lowest false positive rate of 0.06% and the highest true positive rate of 89.94% as compared to other baseline approaches. DFH is 71.1% faster than d-Left Time Bloom Filter (DLTBF) while reducing amount of hashing and achieved 100% true negative rate. The second proposed approach, Managing Counterfeit Hash (MCH) performs fastest and 25.7% faster than baseline protocol (BASE) and achieved 99% detection accuracy while DeClone 64% and BASE 77%. Thus, this study successfully proposed approaches that can enhance the RFID data quality and reliability. 2018-08 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/190/1/24p%20HAZALILA%20KAMALUDIN.pdf text en http://eprints.uthm.edu.my/190/2/HAZALILA%20KAMALUDIN%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/190/3/HAZALILA%20KAMALUDIN%20WATERMARK.pdf Kamaludin, Hazalila (2018) Enchancing RFID data quality and reliability using approximate filtering techniques. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
English
English
topic TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
spellingShingle TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Kamaludin, Hazalila
Enchancing RFID data quality and reliability using approximate filtering techniques
description Radio Frequency Identification (RFID) is an emerging auto-identification technology that uses radio waves to identify and track physical objects without the line of sight. While delivering significant improvements in various aspects, such as, stock management and inventory accuracy, there are serious data management issues that affect RFID data quality in preparing reliable solutions. The raw read rate in real world RFID deployments is often in the 60-70% range and naturally unreliable because of redundant and false readings. The redundant readings result in unnecessary storage and affect the efficiency of data processing. Furthermore, false readings that focused on false positive readings generated by cloned tag could be mistakenly considered as valid and affects the final results and decisions. Therefore, two approaches to enhance the RFID data quality and reliability were proposed. A redundant reading filtering approach based on modified Bloom Filter is presented as the existing Bloom Filter based approaches are quite intricate. Meanwhile, even though tag cloning has been identified as one of the serious RFID security issue, it only received little attention in the literature. Therefore we developed a lightweight anti-cloning approach based on modified Count- Min sketch vector and tag reading frequency from e-pedigree in observing identical Electronic Product Code (EPC) of the low cost tag in local site and distributed region in supply chain. Experimental results showed, that the first proposed approach, Duplicate Filtering Hash (DFH) achieved the lowest false positive rate of 0.06% and the highest true positive rate of 89.94% as compared to other baseline approaches. DFH is 71.1% faster than d-Left Time Bloom Filter (DLTBF) while reducing amount of hashing and achieved 100% true negative rate. The second proposed approach, Managing Counterfeit Hash (MCH) performs fastest and 25.7% faster than baseline protocol (BASE) and achieved 99% detection accuracy while DeClone 64% and BASE 77%. Thus, this study successfully proposed approaches that can enhance the RFID data quality and reliability.
format Thesis
author Kamaludin, Hazalila
author_facet Kamaludin, Hazalila
author_sort Kamaludin, Hazalila
title Enchancing RFID data quality and reliability using approximate filtering techniques
title_short Enchancing RFID data quality and reliability using approximate filtering techniques
title_full Enchancing RFID data quality and reliability using approximate filtering techniques
title_fullStr Enchancing RFID data quality and reliability using approximate filtering techniques
title_full_unstemmed Enchancing RFID data quality and reliability using approximate filtering techniques
title_sort enchancing rfid data quality and reliability using approximate filtering techniques
publishDate 2018
url http://eprints.uthm.edu.my/190/1/24p%20HAZALILA%20KAMALUDIN.pdf
http://eprints.uthm.edu.my/190/2/HAZALILA%20KAMALUDIN%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/190/3/HAZALILA%20KAMALUDIN%20WATERMARK.pdf
http://eprints.uthm.edu.my/190/
_version_ 1738580705678458880
score 13.211869

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