Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
µ¥ÀÌÅÍ Á¢±Ù ÆÐÅÏ Àº´ÐÀ» Áö¿øÇÏ´Â ¾ÏÈ£È À妽º ±â¹Ý kNN ÁúÀÇó¸® ¾Ë°í¸®Áò |
¿µ¹®Á¦¸ñ(English Title) |
kNN Query Processing Algorithm based on the Encrypted Index for Hiding Data Access Patterns |
ÀúÀÚ(Author) |
±èÇüÀÏ
±èÇüÁø
½Å¿µ¼º
ÀåÀç¿ì
Hyeong-Il Kim
Hyeong-Jin Kim
Youngsung Shin
Jae-wo
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¿ø¹®¼ö·Ïó(Citation) |
VOL 43 NO. 12 PP. 1437 ~ 1457 (2016. 12) |
Çѱ۳»¿ë (Korean Abstract) |
µ¥ÀÌÅͺ£À̽º ¾Æ¿ô¼Ò½Ì ȯ°æ¿¡¼, Ŭ¶ó¿ìµå´Â ÀÎÁõµÈ »ç¿ëÀÚ¿¡°Ô ¾Æ¿ô¼Ò½ÌµÈ µ¥ÀÌÅͺ£À̽º¸¦ ±â¹ÝÀ¸·Î ÁúÀÇ ¼ºñ½º¸¦ Á¦°øÇÑ´Ù. ±×·¯³ª ±ÝÀ¶, ÀÇ·á Á¤º¸¿Í °°Àº ¹Î°¨ÇÑ µ¥ÀÌÅʹ Ŭ¶ó¿ìµå¿¡ ¾Æ¿ô¼Ò½Ì µÇ±â Àü¿¡ ¾ÏȣȵǾî¾ß ÇÑ´Ù. ÇÑÆí, kNN ÁúÀÇ´Â ´Ù¾çÇÑ ºÐ¾ß¿¡¼ Æø³Ð°Ô »ç¿ëµÇ´Â ´ëÇ¥ÀûÀÎ ÁúÀÇ Å¸ÀÔÀ̸ç, kNN ÁúÀÇ °á°ú´Â »ç¿ëÀÚÀÇ °ü½É»ç ¹× ¼±È£µµ¿Í ¹ÐÁ¢ÇÏ°Ô ¿¬°üµÈ´Ù. µû¶ó¼ µ¥ÀÌÅÍ º¸È£¿Í ÁúÀÇ º¸È£¸¦ µ¿½Ã¿¡ °í·ÁÇÏ´Â kNN ÁúÀÇ Ã³¸® ¾Ë°í¸®Áò¿¡ ´ëÇÑ ¿¬±¸°¡ ÁøÇàµÇ¾î ¿Ô´Ù. ±×·¯³ª ±âÁ¸ ¿¬±¸´Â ³ôÀº ¿¬»ê ºñ¿ëÀÌ ¿ä±¸µÇ°Å³ª, Ž»öÇÑ À妽ºÀÇ ³ëµå ¹× ¹ÝȯµÈ ÁúÀÇ °á°ú°¡ µå·¯³ª±â ¶§¹®¿¡ µ¥ÀÌÅÍÁ¢±Ù ÆÐÅÏÀÌ ³ëÃâµÇ´Â ¹®Á¦Á¡ÀÌ Á¸ÀçÇÑ´Ù. ÀÌ·¯ÇÑ ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇØ º» ³í¹®¿¡¼´Â ¾ÏÈ£È µ¥ÀÌÅͺ£À̽º »ó¿¡¼ÀÇ kNN ÁúÀÇó¸® ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÑ´Ù. Á¦¾ÈÇÏ´Â ¾Ë°í¸®ÁòÀº µ¥ÀÌÅÍ º¸È£ ¹× ÁúÀÇ º¸È£¸¦ Áö¿øÇÑ´Ù. ¶ÇÇÑ, Á¦¾ÈÇÏ´Â ¾Ë°í¸®ÁòÀº µ¥ÀÌÅÍ Á¢±Ù ÆÐÅÏÀ» º¸È£ÇÏ´Â µ¿½Ã¿¡ È¿À²ÀûÀÎ ÁúÀÇ󸮸¦ Áö¿øÇÑ´Ù. À̸¦ À§ÇØ, µ¥ÀÌÅÍ Á¢±Ù ÆÐÅÏ ³ëÃâ ¾øÀÌ µ¥ÀÌÅÍ ÇÊÅ͸µÀ» Áö¿øÇÏ´Â ¾ÏÈ£È À妽º Ž»ö ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. ¼º´É ºÐ¼®À» ÅëÇØ, Á¦¾ÈÇÏ´Â ¾Ë°í¸®ÁòÀÌ ±âÁ¸ ±â¹ý¿¡ ºñÇØ ÁúÀÇó¸® ½Ã°£ Ãø¸é¿¡¼ ¿ì¼öÇÑ ¼º´ÉÀ» º¸ÀÓÀ» °ËÁõÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In outsourced databases, the cloud provides an authorized user with querying services on the outsourced database. However, sensitive data, such as financial or medical records, should be encrypted before being outsourced to the cloud. Meanwhile, k-Nearest Neighbor (kNN) query is the typical query type which is widely used in many fields and the result of the kNN query is closely related to the interest and preference of the user. Therefore, studies on secure kNN query processing algorithms that preserve both the data privacy and the query privacy have been proposed. However, existing algorithms either suffer from high computation cost or leak data access patterns because retrieved index nodes and query results are disclosed. To solve these problems, in this paper we propose a new kNN query processing algorithm on the encrypted database. Our algorithm preserves both data privacy and query privacy. It also hides data access patterns while supporting efficient query processing. To achieve this, we devise an encrypted index search scheme which can perform data filtering without revealing data access patterns. Through the performance analysis, we verify that our proposed algorithm shows better performance than the existing algorithms in terms of query processing times.
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Å°¿öµå(Keyword) |
µ¥ÀÌÅͺ£À̽º¾Æ¿ô¼Ò½Ì
µ¥ÀÌÅͺ£À̽º¾ÏÈ£È
¾ÏÈ£ÈÀ妽º±¸Á¶
¾ÏÈ£ÈkNN ÁúÀÇó¸®¾Ë °í¸®Áò
µ¥ÀÌÅÍÁ¢±ÙÆÐÅÏ
database outsourcing
database encryption
encrypted index structure
encrypted kNN query processing algorithm
data access pattern
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