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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ³í¹®Áö I : Á¤º¸Åë½Å

Á¤º¸°úÇÐȸ ³í¹®Áö I : Á¤º¸Åë½Å

Current Result Document : 5 / 7

ÇѱÛÁ¦¸ñ(Korean Title) [2011³âµµ Çлý³í¹® °æÁø´ëȸ ¼ö»óÀÛ] À§Ä¡ ±â¹Ý ¼­ºñ½º¿¡¼­ Á¤º¸ º¸È£¸¦ Áö¿øÇÏ´Â ±×¸®µå ±â¹Ý ±Ù»ç k-ÃÖ±ÙÁ¢Á¡ ÁúÀÇ Ã³¸® ¾Ë°í¸®Áò
¿µ¹®Á¦¸ñ(English Title) Grid-based Approximate k-NN Query Processing Algorithm Supporting Privacy Protection in Location-based Services
ÀúÀÚ(Author) Àå¹Ì¿µ   ÀåÀç¿ì   Miyoung Jang   Jaewoo Chang  
¿ø¹®¼ö·Ïó(Citation) VOL 38 NO. 06 PP. 0497 ~ 0511 (2011. 12)
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(Korean Abstract)
ÃÖ±Ù ¹«¼± Åë½Å ±â¼úÀÇ ¹ß´Þ ¹× À§Ä¡ ÃøÁ¤ ÀåÄ¡ »ç¿ëÀÇ Áõ°¡·Î À§Ä¡ ±â¹Ý ¼­ºñ½º°¡ Æø³Ð°Ô ¹ßÀüÇÏ°í ÀÖ´Ù. ±×·¯³ª ÇöÀç À§Ä¡ ±â¹Ý ¼­ºñ½º´Â ÁúÀÇ ¿äûÀÚ°¡ ÀÚ½ÅÀÇ Á¤È®ÇÑ À§Ä¡ Á¤º¸¸¦ ÁúÀÇ Ã³¸® ¼­¹ö¿¡ Àü¼ÛÇϱ⠶§¹®¿¡, »ç¿ëÀÚÀÇ °³ÀÎ Á¤º¸°¡ ³ëÃâµÉ ¼ö ÀÖ´Â Ãë¾à¼ºÀ» Áö´Ñ´Ù. µû¶ó¼­ LBS ȯ°æ¿¡¼­ »ç¿ëÀÚÀÇ À§Ä¡ Á¤º¸ º¸È£ ±â¹ýÀÌ ²ÙÁØÈ÷ ¿¬±¸µÇ¾î¿Ô´Ù. ´ëÇ¥ÀûÀÎ ±â¹ýÀ¸·Î´Â »ç¿ëÀÚÀÇ À§Ä¡ ÁÂÇ¥¸¦ ÁúÀÇ ¿µ¿ªÀ¸·Î È®ÀåÇÏ¿© ÁúÀǸ¦ ó¸®ÇÏ´Â Cloaking ¿µ¿ª ±â¹Ý ÁúÀÇ Ã³¸® ±â¹ý°ú ÁúÀÇ ¿äûÀÚ°¡ Àü¼ÛÇÑ À妽º¸¦ ±â¹ÝÀ¸·Î ÇÑ ¼öÇÐÀû ¿¬»êÀ» ÅëÇØ ÁúÀǸ¦ ¼öÇàÇÏ°í, »ç¿ëÀÚÀÇ À§Ä¡ Á¤º¸ ¹× ÁúÀÇ¿¡ ´ëÇÑ Á¤º¸¸¦ ¾òÁö ¾Ê°íµµ °á°ú¸¦ Ž»öÇÏ°í ¹ÝȯÇÏ´Â PIR ±â¹Ý ÁúÀÇ Ã³¸® ±â¹ýÀÌ Á¸ÀçÇÑ´Ù. ±×·¯³ª ±âÁ¸ÀÇ ¿¬±¸µéÀº ³ôÀº Åë½Åºñ¿ë ¹× ÁúÀÇ Ã³¸® ½Ã°£À» ¿ä±¸ÇÑ´Ù. µû¶ó¼­ º» ³í¹®¿¡¼­´Â ±âÁ¸ ¿¬±¸ÀÇ ÀåÁ¡À» À¶ÇÕÇÑ ±×¸®µå ±â¹Ý ±Ù»ç k-ÃÖ±ÙÁ¢Á¡ ÁúÀÇ Ã³¸® ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÑ´Ù. ù°, ±Ù»ç k-ÃÖ±ÙÁ¢Á¡ ÁúÀÇ Ã³¸®¸¦ À§ÇØ POI ¹ÐÁýµµ ±â¹Ý ¿µ¿ª È®Àå ±â¹ýÀ» Á¦¾ÈÇÏ°í µÑ°, Á¤È®µµ ³ôÀº ÁúÀÇ °á°ú Ž»öÀ» À§ÇÑ ¿µ¿ª Áßø À妽º ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. ¸¶Áö¸·À¸·Î, ¼º´ÉÆò°¡¸¦ ÅëÇØ Á¦¾ÈÇÏ´Â ±â¹ýÀÌ ±âÁ¸ ¿¬±¸¿¡ ºñÇØ ¿ì¼öÇÔÀ» º¸ÀδÙ.
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(English Abstract)
Location-Based Services (LBSs) are becoming popular due to the advances in mobile networks and positioning capabilities. When a user sends a query with his exact location to the LBS server, the server processes the query and returns a result to the user. Providing user"fs exact location to the LBS server may lead revealing his private information to unauthorized parties (e.g., adversaries). Therefore, there exist two main methods to overcome this problem. They are cloaking method which blurs a user¡®s location into a cloaking region and Private Information Retrieval (PIR) based methods which encrypt location data by using PIR protocol. However, they suffer from high computation and communication overheads. To resolve these problems, we, in this paper, propose a hybrid scheme to process an approximate k-Nearest Neighbor (k-NN) query by combining above two methods. Through performance analysis, we have shown that our grid-based k-NN query processing algorithm outperforms the existing work in terms of both query processing time and accuracy of the result set.
Å°¿öµå(Keyword) À§Ä¡ ±â¹Ý ¼­ºñ½º   k-ÃÖ±ÙÁ¢Á¡ ÁúÀÇ Ã³¸® ±â¹ý   À§Ä¡ Á¤º¸ º¸È£   Cloaking ¿µ¿ª ±â¹Ý ÁúÀÇ Ã³¸®   LBSs   Query processing   k-NN query   Location privacy preserving query   Cloaking region based query processing  
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