| Âê̾ | 45nm ¥ץ¥¹ FPGA ¾å¤Î Physical Unclonable Function ¤ÎÆÃɾ²Á |
| Ãø¼Ô | *ËÙ ÍÎʿ, ÊҲ¼ Éҹ¨, ժ ¸¼¹À, º´ƣ ¾Ú (»º¶ȵ»½ÑÁí¹縦µæ½ê ¾ðÊ¥å¥ê¥ƥ£¸¦µ楻¥¼) |
| Page | pp. 1928 - 1933 |
| Keyword | PUF, SASEBO, FPGA |
| Abstract | 45nm ¥ץ¥¹¤Ç¤¤µ¤줿Spartan-6 FPGA¾å¤ÎPhysical Unclonable Function (PUF) ¤ÎÆÃɾ²ò¹Ԥä¿¡¥PUF¤ÏȾƳÂΥץ¥¹¤ΤФé¤Ĥ¤òÍøÍѤ·¤ƥǥХ¤¥¹¸Çͭ¤ÎID¤ò¤¹¤ë²óϩ¤Ǥ¢¤ꡤʣ¤¬¶ˤá¤ƺ¤Æñ¤Ǥ¢¤뤿¤ᡤÌÏÊïȾƳÂÎÉʤ¬Áý²ä¹¤ë»Ծì¤ˤª¤¤¤ƿ¿´æȽÄê¤˱þÍѤǤ¤ë¤ȴüÂԤµ¤ì¤Ƥ¤¤롥¥ץ¥¹¤ÎÈùºٲ½¤Ëȼ¤¤¤Фé¤Ĥ¤òÍޤ¨¤褦¤Ȥ¹¤븦µ椬¤ó¤˹Ԥï¤ì¤Ƥ¤¤ëÃ桤Àèü¥ץ¥¹¤ˤª¤±¤ëPUF¤Îͭ¸ú¤ڤ¹¤뤳¤Ȥ¬½ÅÍפǤ¢¤롥Ëܸ¦µæ¤Ǥϡ¤SASEBO-W¤òÍѤ¤¤Æ20¸ĤÎSpartan-6¾å¤Ë64 ÃʤÎArbiter PUF¤ò¼ÂÁ¤¥ǥХ¤¥¹Æâ¤νÐÎϤκƸ½¤ä¥ǥХ¤¥¹´֤νÐÎϤΥæ¥ˡ¼¥¯Åù¤òɾ²·¤¿¡¥¥å×Æâ¤ˤª¤±¤ëºƸ½¤äÈó¾×ÆͤÏÀè¹Ը¦µæ¤ò¾å²ó¤ë¹⤤ǽ¤¹°ìÊý¤ǡ¤¥å״֤Υæ¥ˡ¼¥¯¤Ϥ鷺¤«¤ËÄ㲼¤·¡¤Àèü¥ץ¥¹¤ˤª¤±¤ëPUF¤ι½¤¤ä¼ÂÁõ¤βþ¤ÎɬÍפ¶¤¹¤ë·ë²̤Ȥʤä¿¡¥ |
| Âê̾ | ÅÅÎϲòÀϹ¶·â¤ËÂФ¹¤ë¥֥é¥å¯¥ܥ寥¹ɾ²êˡ¤θ¡Ƥ |
| Ãø¼Ô | *´ßËÜ ¹Ìʿ, ²Ï¼ ÂçÊå, ´䲼 ÌÇ, ¿åÌî Ƿ (Å쳤Íý²½ µ»½ѳ«ȯ¥»¥¼), ¸Ÿ¶ ÏÂˮ (»º¶ȵ»½ÑÁí¹縦µæ½ê ¥»¥¥奢¥·¥¹¥ƥฦµæÉôÌç) |
| Page | pp. 1934 - 1946 |
| Keyword | ¥µ¥¤¥ɥã¥ͥë, CPA, AES, ¼ÂÁõ°Â, °Źæ¥⥸¥塼¥ë |
| Abstract | CPA(Correlation Power Analysis)¤ò¤Ϥ¸¤á¤Ȥ¹¤ëÅÅÎϲòÀϹ¶·⤬Áȹþ¤ߵ¡´ï¤ˤȤäƶ¼°ҤȤʤäƤª¤ꡤ¤½¤ÎÂѤò³ΤËÇİ®¤¹¤ëɬÍפ¬¤¸¤Ƥ¤Ƥ¤¤롥¶¯ÎϤÊÅÅÎϲòÀϹ¶·â¤ϰŹæ²óϩ¤䥢¥르¥ꥺ¥à¤μÂÁõ¾ðÊó¤òÍøÍѤ¢¤뤤¤Ͽ䬤·¤ƹ½¤µ¤ì¤뤬¡¤Ĵã¼Ô¦¤ǤϤ½¤ì¤é¤ξðÊó¤òÆþ¼ê¤Ǥ¤ʤ¤¾ì¹ç¤â¿¤¯¡¤¤ޤ¿¡¤¹¶·â¼ԤȰۤʤꤽ¤ì¤é¤òÉÔ¤ËÆþ¼ꤹ¤뤳¤Ȥâ¤Ǥ¤ʤ¤¡¥¤½¤³¤ÇËܹƤǤϡ¤¥֥é¥å¯¥ܥ寥¹ɾ²ˤª¤±¤ëɾ²ÁÈϰϤȡ¤¤½¤ζñÂÎŪ¤Êɾ²êˡ¤ò¸¡Ƥ¤·¡¤¤ޤ¿¡¤Èë̩¸°¾ðÊó¤òɾ²ËÍѤ¤¤뤳¤Ȥˤè¤êÂÅÅö¤ʷ»Î̤ÇÀȼå¤Î¸ºߤò³Îǧ¤Ǥ¤뤳¤Ȥ¹¡¥ |
| Âê̾ | PUF Evaluation against Linear Programming Model on SASEBO-GII |
| Ãø¼Ô | *Hyunho Kang, Yohei Hori, Toshihiro Katashita (»º¶ȵ»½ÑÁí¹縦µæ½ê ¥»¥¥奢¥·¥¹¥ƥฦµæÉôÌç), Akashi Satoh (»º¶ȵ»½ÑÁí¹縦µæ½ê ¥ʥΥ¨¥쥯¥ȥí¥˥¯¥¹¸¦µæÉôÌç) |
| Page | pp. 1947 - 1950 |
| Keyword | Physical Unclonable Function (PUF), Modeling attack, Linear Programming, Logistic regression, SASEBO-GII |
| Abstract | Physical unclonable functions (PUFs) have outstanding unique and non-reproducible properties due to the inter-chip variations. However, their low tolerance, particularly of a linear delay based PUFs, against the machine learning or linear programming detracts from the innovativeness. In this paper we focus on an efficient PUF evaluation method by using linear programming and logistic regression in the case of the CRPs with low entropy. |
| Âê̾ | OpenXML¥ե¡¥¤¥ë¤ؤÎÄɵ²Äǽ½ð̾Êý¼°¤ÎÄó°Æ |
| Ãø¼Ô | *µ´Ƭ Âç²ð, ±©º¬ ¿µ¸ã (¡ʳô¡ËÆüΩºî½ê ²£É¦µæ½ê), °Ëƣ ½ç»Ò (¡ʳô¡ËÆüΩºî½ê ¼ҲΥ١¼¥·¥ç¥ץ¥§¥¯¥ÈËÜÉô ¥½¥ê¥塼¥·¥ç¥ó¿ä¿ÊËÜÉô) |
| Page | pp. 1951 - 1957 |
| Keyword | ÅŻҽð̾, OpenXML |
| Abstract | Ëܸ¦µæ¤Ǥϡ¤OpenXML¥ե©¡¼¥ޥåȤΥե¡¥¤¥ë¡ÊOpenXML¥ե¡¥¤¥ë¡ˤòÂоݤȤ·¤ơ¤ʸ½ñ¤ˤʤµ¤줿½ð̾¤ò̵¸ú²½¤»¤º¤ˡ¤ʸ½ñ¤ËÄɵ¤ª¤è¤ӽð̾¤ò¹Ԥ¨¤ëÄɵ²Äǽ½ð̾Êý¼°¤òÄó°Ƥ¹¤롥OpenXML¥ե©¡¼¥ޥåȤϡ¤Microsoft® Office 2007¤ʤÉÍ͡¹¤ʥ¢¥ץꥱ¡¼¥·¥ç¥ó¤ÇÍøÍѤµ¤ì¤Ƥ¤¤롥Äó°ÆÊý¼°¤Ǥϡ¤ºǽé¤νð̾ºî»þ¤˥֥é¥Υե¡¥¤¥ë¤òºî¤·¡¤¤½¤ì¤ò½ð̾ÂоݤÎOpenXML¥ե¡¥¤¥ë¤ËËä¹þ¤ó¤ÇÍøÍѤ¹¤뤳¤Ȥǡ¤°ʹߤÎÄɵ¤ª¤è¤ӽð̾¤ò²Äǽ¤ˤ¹¤롥¤ޤ¿¡¤Äó°ÆÊý¼°¤ˤè¤ëÄɵ¤ä½ð̾¤νèÍý¤ò¼ÂÁ¤Äɵ¤ª¤è¤ӽð̾¤µ¤줿ʸ½¤Microsoft® Office 2007¤Ç¤·¤¯ǧ¼±¤Ǥ¤뤫¤θ¡¾ڤò¹Ԥ¦¡¥ºǸå¤ˡ¤¾嵭Äó°ÆÊý¼°¤ò¥١¼¥¹¤Ȥ¹¤륵¡¼¥з¿¤ÎÄɵ²Äǽ½ð̾Êý¼°¤ˤĤ¤¤Ƽ¨¤¹¡¥Äɵ¤ä½ð̾¤νèÍý¤ϡ¤Ãæ±û¤νð̾¥µ¡¼¥Ф¬½¸ÌƹԤ¦¤³¤Ȥǡ¤ʣ¿ô¿ͤ¬OpenXML¥ե¡¥¤¥ë¤ØÄɵ¤ä½ð̾¤ò¹Ԥ¦¤ΤòÍưפˤ¹¤롥 |
| Âê̾ | ĶÂʱ߶ÊÀþ¾å¤Υڥ¢¥ê¥Źæ¤ÎGPU¼ÂÁõ¤˴ؤ¹¤ë°ì¹ͻ¡ |
| Ãø¼Ô | *Àаæ ¾Âç, ÃöËó ÆØÉ×, ƣÀî ÏÂÍø (ÆàÎÉÀèü²ʳص»½ÑÂç³ر¡Âç³Ø) |
| Page | pp. 1958 - 1966 |
| Keyword | Âʱ߶ÊÀþ°Źæ, ¥ڥ¢¥ê¥ó¥°, GPGPU |
| Abstract | ËܹƤǤÏĶÂʱ߶ÊÀþ¾å¤Υڥ¢¥ê¥ˤĤ¤¤ÆGPU¤òÍѤ¤¤¿¥ڥ¢¥ê¥¢¥르¥ꥺ¥à¤ÎÊÂÎιͻ¡¤ȼÂÁõ¼¸³¤ò¹Ԥä¿¡¥¥ڥ¢¥ê¥Źæ¤ÏID¥١¼¥¹°Źæ¤䡤¥֥¥ɥ¥㥹¥ȰŹæ¤αþÍѤò»ý¤¤Âʱ߶ÊÀþ¾å¤Υڥ¢¥ê¥ϸúΨŪ¤ʼÂÁõ¤â¹Ԥï¤ì³èȯ¤˸¦µ椵¤ì¤Ƥ¤¿¡¥°ìÈÌŪ¤˥ڥ¢¥ê¥˷¸¤ë±黻¤ϡ¤¶ÊÀþ¾å¤α黻¤ËÈæ¤Ùʣ»¨¤ǡ¤Âå¿ô¶ÊÀþ¤Ȥ·¤Ƽï¿ô¤ι⤤¤â¤Τò¤ÖÄø·»¥³¥¹¥ȤϹ⤯¤ʤ롥ËáǯGPU¤òÈÆÍѱ黻¤ËÍѤ¤¤ëGPGPUµ»½Ѥ¬ȯ㤷¡¤°Ź桤°Źæ²òÆɤÎʬÌî¤ǤâGPU¤òÍѤ¤¤¿¸¦µ椬¤ó¤Ǥ¢¤롥ËܹƤǤϡ¤ÊÂÎó½èÍý¤ˤè¤ê¥ڥ¢¥ê¥ι⮲½¤¬¤ɤÎÄøÅÙÆé¤ì¤ë¤Τ«¡¤¤½¤ÎÊÂÎΥ¢¥ץ¥ιͻ¡¤ȡ¤¼¸³¤Ȥ·¤ÆGPU¤òÍѤ¤¤¿¼ÂÁõ¤ò¹Ԥ¤·ë²̤ò½Ҥ٤롥 |