Enhancing counterfeit tag detection for RFID system using slotted aloha

Radio Frequency Identification (RFID) is a technology that is used for wireless monitoring, tracking and identification of an object. RFID is also used in inventory processes for RFID counterfeit detection and identification to reduce financial loss caused by shrinkage. Counterfeiting is a serio...

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Main Author:	Musa, Yusuf
Format:	Thesis
Language:	English English English
Published:	2021
Subjects:	T Technology (General) TK7800-8360 Electronics
Online Access:	http://eprints.uthm.edu.my/6497/1/24p%20YUSUF%20MUSA.pdf http://eprints.uthm.edu.my/6497/2/YUSUF%20MUSA%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6497/3/YUSUF%20MUSA%20WATERMARK.pdf
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id	my-uthm-ep.6497
record_format	uketd_dc
spelling	my-uthm-ep.64972022-02-06T21:22:09Z Enhancing counterfeit tag detection for RFID system using slotted aloha 2021-07 Musa, Yusuf T Technology (General) TK7800-8360 Electronics Radio Frequency Identification (RFID) is a technology that is used for wireless monitoring, tracking and identification of an object. RFID is also used in inventory processes for RFID counterfeit detection and identification to reduce financial loss caused by shrinkage. Counterfeiting is a serious challenge in the current supply chain, resulting in millions of dollars in lost income for the parties involved each year. The recent works on counterfeit detection are based on cardinality contradiction and cloned detection which assumed that both counterfeit and genuine tags most be in the system before it can detect counterfeit. However, this assumption will not work if one of the tags is not in the system. As a result of this research, RMD was proposed, which entails the usage of the SLOTTED ALOHA in order to improve the detection time and accuracy through collision verification and counterfeit detection. The collision verification was introduced at the first stage to increase the status of single slots which gives the system the ability to uniquely detect each tag without arbitration. The track sequence number (TSN) was integrated with the time of arrival (TOA) at the detection stage to check the sequence process for the entire system from one stage to another, thus giving the system the capability to uniquely differentiate between counterfeit tag and the genuine tag. In comparison with FSA- CSS, MAP, and DFSA, experimental results show that the RMD algorithm outperforms other algorithms with high throughput performance of 45 unit/s, an average detection accuracy of 98% and low detection time of 0.10s. This indicates that highest detection accuracy, high throughput performance and lowest detection time (i.e., fast detection) can effectively be achieved by RMD algorithm. The optimization of the counterfeit tags detection algorithm with TSN and TOA is therefore competent and sufficient for addressing the shrinkage of inventory. 2021-07 Thesis http://eprints.uthm.edu.my/6497/ http://eprints.uthm.edu.my/6497/1/24p%20YUSUF%20MUSA.pdf text en public http://eprints.uthm.edu.my/6497/2/YUSUF%20MUSA%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/6497/3/YUSUF%20MUSA%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Malaysia Fakulti Sains Komputer dan Teknologi Maklumat
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	T Technology (General) TK7800-8360 Electronics
spellingShingle	T Technology (General) TK7800-8360 Electronics Musa, Yusuf Enhancing counterfeit tag detection for RFID system using slotted aloha
description	Radio Frequency Identification (RFID) is a technology that is used for wireless monitoring, tracking and identification of an object. RFID is also used in inventory processes for RFID counterfeit detection and identification to reduce financial loss caused by shrinkage. Counterfeiting is a serious challenge in the current supply chain, resulting in millions of dollars in lost income for the parties involved each year. The recent works on counterfeit detection are based on cardinality contradiction and cloned detection which assumed that both counterfeit and genuine tags most be in the system before it can detect counterfeit. However, this assumption will not work if one of the tags is not in the system. As a result of this research, RMD was proposed, which entails the usage of the SLOTTED ALOHA in order to improve the detection time and accuracy through collision verification and counterfeit detection. The collision verification was introduced at the first stage to increase the status of single slots which gives the system the ability to uniquely detect each tag without arbitration. The track sequence number (TSN) was integrated with the time of arrival (TOA) at the detection stage to check the sequence process for the entire system from one stage to another, thus giving the system the capability to uniquely differentiate between counterfeit tag and the genuine tag. In comparison with FSA- CSS, MAP, and DFSA, experimental results show that the RMD algorithm outperforms other algorithms with high throughput performance of 45 unit/s, an average detection accuracy of 98% and low detection time of 0.10s. This indicates that highest detection accuracy, high throughput performance and lowest detection time (i.e., fast detection) can effectively be achieved by RMD algorithm. The optimization of the counterfeit tags detection algorithm with TSN and TOA is therefore competent and sufficient for addressing the shrinkage of inventory.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Musa, Yusuf
author_facet	Musa, Yusuf
author_sort	Musa, Yusuf
title	Enhancing counterfeit tag detection for RFID system using slotted aloha
title_short	Enhancing counterfeit tag detection for RFID system using slotted aloha
title_full	Enhancing counterfeit tag detection for RFID system using slotted aloha
title_fullStr	Enhancing counterfeit tag detection for RFID system using slotted aloha
title_full_unstemmed	Enhancing counterfeit tag detection for RFID system using slotted aloha
title_sort	enhancing counterfeit tag detection for rfid system using slotted aloha
granting_institution	Universiti Tun Hussein Malaysia
granting_department	Fakulti Sains Komputer dan Teknologi Maklumat
publishDate	2021
url	http://eprints.uthm.edu.my/6497/1/24p%20YUSUF%20MUSA.pdf http://eprints.uthm.edu.my/6497/2/YUSUF%20MUSA%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6497/3/YUSUF%20MUSA%20WATERMARK.pdf
_version_	1747831073781317632

Enhancing counterfeit tag detection for RFID system using slotted aloha

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