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
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id	my-uthm-ep.190
record_format	uketd_dc
spelling	my-uthm-ep.1902021-07-06T07:56:04Z Enchancing RFID data quality and reliability using approximate filtering techniques 2018-08 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 http://eprints.uthm.edu.my/190/ http://eprints.uthm.edu.my/190/1/24p%20HAZALILA%20KAMALUDIN.pdf text en public http://eprints.uthm.edu.my/190/2/HAZALILA%20KAMALUDIN%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/190/3/HAZALILA%20KAMALUDIN%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Onn Malaysia Fakulti Sains Komputer dan Teknologi Maklumat
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Sains Komputer dan Teknologi Maklumat
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
_version_	1747830549849833472

Enchancing RFID data quality and reliability using approximate filtering techniques

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