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ÇѱÛÁ¦¸ñ(Korean Title) |
µ¥ÀÌÅÍ ½ºÆ®¸²¿¡¼ ÇÁ¶óÀ̹ö½Ã º¸È£¸¦ À§ÇÑ À͸íÈ ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
An Anonymization Method for Privacy Protection in Data Streams |
ÀúÀÚ(Author) |
¼º¹Î°æ
Á¤¿¬µ·
Min Kyoung Sung
Yon Dohn Chung
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¿ø¹®¼ö·Ïó(Citation) |
VOL 41 NO. 01 PP. 0008 ~ 0020 (2014. 02) |
Çѱ۳»¿ë (Korean Abstract) |
ÃÖ±Ù µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã º¸È£¸¦ À§ÇÑ À͸íÈ ±â¹ý¿¡ ´ëÇÑ ¿¬±¸°¡ È°¹ßÈ÷ ÁøÇàµÇ°í ÀÖ´Ù. ±×·¯³ª ´ëºÎºÐÀÇ ¿¬±¸°¡ Á¤ÀûÀÎ Å×ÀÌºí µ¥ÀÌÅÍÀÇ À͸íÈ ±â¹ý¿¡ ÃÊÁ¡À» ¸ÂÃß°í ÀÖ´Ù. µ¥ÀÌÅ͸¦ ÀÌ¿ëÇÏ´Â ºÐ¾ß°¡ ´Ã¾î³²¿¡ µû¶ó ´Ù¾çÇÑ È¯°æ¿¡ ÀûÇÕÇÑ ÇÁ¶óÀ̹ö½Ã º¸È£ ±â¹ýÀÌ ÇÊ¿äÇÏ´Ù. ÀÌ ³í¹®¿¡¼´Â µ¥ÀÌÅÍ ½ºÆ®¸² ȯ°æ¿¡¼ ÇÁ¶óÀ̹ö½Ã º¸È£¸¦ À§ÇÑ È¿°úÀûÀÎ À͸íÈ ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. ±âÁ¸ µ¥ÀÌÅÍ ½ºÆ®¸²¿¡¼ ÇÁ¶óÀ̹ö½Ã ¿¬±¸°¡ k-À͸íÈ ¸ðµ¨¿¡ Á¦ÇѵǾî ÀÖÀ¸¹Ç·Î ´õ °·ÂÇÑ ÇÁ¶óÀ̹ö½Ã º¸È£¸¦ º¸ÀåÇÏ´Â §¤-´Ù¾ç¼º ¸ðµ¨À» À§ÇÑ »õ·Î¿î À͸íÈ ±â¹ýÀ» ¼Ò°³ÇÑ´Ù. Á¦¾ÈÇÏ´Â ±â¹ýÀº µ¥ÀÌÅÍÀÇ ºÐÆ÷¿Í ÀÚÁÖ µîÀåÇÏ´Â ¹Î°¨ÇÑ Á¤º¸ÀÇ ºóµµ¸¦ ÀÌ¿ëÇÏ¿© Á¤º¸¼Õ½ÇÀ» ÃÖ¼ÒÈ ÇÑ´Ù. ¶ÇÇÑ ½ÇÁ¦ µ¥ÀÌÅ͸¦ ÀÌ¿ëÇÑ ´Ù¾çÇÑ ½ÇÇèÀ» ÅëÇØ Á¦¾È ±â¹ýÀÇ È¿À²¼º ¹× ¼º´ÉÀ» Æò°¡ÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
Recently, anonymization methods to protect data privacy have received a lot of attention. Most of them, however, focus on the anonymization methods for static tabular data. With the increasing use of the data, the privacy protection methods suitable for a variety of environments are required. In this paper, we propose an efficient anonymization method to protect the privacy in data streams. Since the previous work which considered the privacy protection in data streams is limited to the k-anonymity model, we develop the anonymization method for the §¤-diversity model which guarantees stronger privacy protection. The proposed method considered the distribution of data streams and the frequency of sensitive information to minimize the information loss. Also, we performed various experiments to evaluate the efficiency and performance of the proposed method by using real data.
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Å°¿öµå(Keyword) |
ÇÁ¶óÀ̹ö½Ã
µ¥ÀÌÅÍ ½ºÆ®¸²
k-À͸íÈ
§¤-´Ù¾ç¼º
privacy
data streams
k-anonymity
§¤-diversity
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