Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
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ÇѱÛÁ¦¸ñ(Korean Title) |
¹é½ºÄ³ÅÍ ³×Æ®¿öÅ©ÀÇ ¹°¸® °èÃþ Ư¡ ±â¹Ý UHF RFID ÅÂ±× ½Äº° ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
UHF RFID Tag Identification Method Based on Physical-layer Features of Backscatter Networks |
ÀúÀÚ(Author) |
±è¿ë´ã
Á¤¼º¿ø
Yongdam Kim
Sungwon Jung
±èÀ±¼
¹ÚÈĸ°
Áֹοì
ÀÌ¿øÁØ
Yoonseo Kim
Hoorin Park
Minwoo Joo
Wonjun Lee
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¿ø¹®¼ö·Ïó(Citation) |
VOL 48 NO. 09 PP. 1061 ~ 1067 (2021. 09) |
Çѱ۳»¿ë (Korean Abstract) |
Radio-frequency identification (RFID) ½Ã½ºÅÛÀº ºñ¿ë°ú ¿¡³ÊÁö Ãø¸éÀÇ È¿À²¼ºÀ¸·Î ÀÎÇØ »ç¹°ÀÎÅÍ³Ý ³×Æ®¿öÅ© ±â¼úÀÇ ÇÙ½É ±¸¼º ¿ä¼Ò·Î °¢±¤¹Þ°í ÀÖ´Ù. ƯÈ÷, ultra high frequency (UHF) RFID ½Ã½ºÅÛ¿¡¼´Â ´Ù¼öÀÇ Å±װ¡ ¼öµ¿ÀûÀÎ ¹æ¹ýÀ¸·Î Åë½ÅÇϱ⠶§¹®¿¡ °³º° ű׸¦ ½Äº°ÇÏ´Â °úÁ¤ÀÌ ÇʼöÀûÀÌ´Ù. ÇÏÁö¸¸, ±âÁ¸ÀÇ ÅÂ±× ½Äº°Àڴ ű×ÀÇ ¿¬»ê ÀÚ¿ø ¹× ¸Þ¸ð¸®ÀÇ ÇÑ°è·Î ÀÎÇØ ½±°Ô º¹Á¦µÇ°Å³ª ¿¹ÃøµÉ ¼ö ÀÖ¾î º¸¾È»ó Ãë¾àÇÏ´Ù´Â ´ÜÁ¡ÀÌ ÀÖ´Ù. º» ³í¹®¿¡¼´Â À§Á¶°¡ ¾î·Á¿î ÅÂ±× °íÀ¯ÀÇ ¹°¸®Àû Ư¼º Á¤º¸¸¦ ÃßÃâÇÏ¿© ÅÂ±× ½Äº°¿¡ È°¿ëÇÏ´Â ±â¼úÀ» Á¦¾ÈÇÑ´Ù. Á¦¾ÈÇÑ ±â¼úÀº ű×ÀÇ ¹é½ºÄ³ÅÍ ½ÅÈ£¸¦ ºÐ¼®ÇÏ¿© ¹°¸® °èÃþ Ư¡ Áß ½Ã°£ °£°Ý ¿ÀÂ÷¿Í À§»óÀ» ÃßÃâÇÏ´Â ¾Ë°í¸®Áò°ú À̸¦ Áö¹®À¸·Î È°¿ëÇÏ¿© ű׸¦ ½Äº°ÇÏ´Â ¾Ë°í¸®ÁòÀ¸·Î ±¸¼ºµÈ´Ù. º» ³í¹®¿¡¼´Â Á¦¾È ±â¼úÀÇ ¼º´É Æò°¡¸¦ À§ÇØ °¢ ű×ÀÇ ¹é½ºÄ³ÅÍ ½ÅÈ£¸¦ ¸ðµ¨¸µÇÏ°í ½ÅÈ£ ´ëÀâÀ½ºñ¿¡ µû¸¥ ½Äº° Á¤È®µµ¸¦ ºÐ¼®ÇÑ´Ù. |
¿µ¹®³»¿ë (English Abstract) |
Radio-frequency identification (RFID) systems are becoming essential components in Internet of Things (IoT) networks by virtue of their cost and energy efficiency. Especially, in ultra high frequency (UHF) RFID systems, the process of identifying individual tags is crucial because different tags communicate in a passive manner. However, the tag identifiers used in existing systems are vulnerable to be replicated or predicted due to limited tag operation resources and memory, which leads to severe security threats. In this paper, we propose a technology to extract the unique physical-layer characteristics, which are difficult to be forged, and utilize them for tag identification. The proposed method consists of a fingerprint extraction algorithm to obtain the physical-layer features of time interval error and phase by analyzing the backscatter signals of the tags, and a tag identification algorithm to distinguish tags based on their extracted fingerprints. We provide a model of backscatter signals and analyze the identification accuracy of the proposed method with varying signal-to-noise ratios. |
Å°¿öµå(Keyword) |
¹®¼ Ŭ·¯½ºÅ͸µ
word mover¡¯s distance
°ø°£ º¯È¯ ±â¹ý
¿öµå ÀÓº£µù
document clustering
word mover¡¯s distance
space transformation method
word embedding
RFID
ÅÂ±× ½Äº°
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½Ã°£ °£°Ý ¿ÀÂ÷
ˤȗ
»ç¹° ÀÎÅͳÝ
RFID
tag identification
physical layer
time interval error
phase
Internet of things
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