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E RFIDƒ^ƒO‚ð—p‚¢‚½Ž©“®‰üŽDƒVƒXƒeƒ€‚É‚¨‚¯‚éƒ^ƒO‚ƃŠ[ƒ_/ƒ‰ƒCƒ^ŠÔ‚Ì’ÊM§Œä
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E Android’[––‚É‚¨‚¯‚éƒ[ƒJƒ‹‚Èî•ñ‹¤—L‹@\\’z‚ÉŒü‚¯‚½lŽ@
E “dŽq\¿ƒVƒXƒeƒ€‚Ì—˜—p—¦‚Æî•ñƒŠƒeƒ‰ƒV[‚Ƃ̊֘A«‚ÉŠÖ‚·‚éˆêŽ–—álŽ@
E ‘®«ƒx[ƒXˆÃ†‚ð—p‚¢‚½ƒIƒ“ƒ‰ƒCƒ“ƒXƒgƒŒ[ƒWƒT[ƒrƒX—pƒNƒ‰ƒCƒAƒ“ƒg‚ÌŽÀ‘••]‰¿
E Android‚É‚¨‚¯‚éƒAƒhƒzƒbƒN’ÊMŽx‰‡ƒAƒvƒŠƒP[ƒVƒ‡ƒ“ŠJ”­
E ƒ\[ƒVƒƒƒ‹ƒlƒbƒgƒ[ƒLƒ“ƒOƒT[ƒrƒX‚ð—p‚¢‚½ƒOƒ‹[ƒvƒEƒFƒAƒVƒXƒeƒ€‚ÌŠJ”­

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E ŠÅŒìŠÇ—ŽÒ‚ªœ“­ŽÒ‚Æ‚µ‚Ă̊Ōìî•ñ‚ɸ’Ê‚µ‚½ŠÅŒìŽt‚É•K—v‚Æ‚µ‚Ä‚¢‚éî•ñ”\—͂ɂ‚¢‚Ä
E ˆã—Âh‚sŠé‹Æ‚ÉŠ‘®‚·‚éˆã—Ãî•ñ‹ZŽtˆç¬‚ÉŠÖ‚·‚é’²¸Œ¤‹†
E ŠÅŒìŒp‘±‹³ˆç‚É‚¨‚¯‚éŠÅŒìî•ñ‚Ì“ñŽŸ—˜—p‹ZpK“¾‚ð–Ú“I‚Æ‚µ‚½î•ñ‹³ˆç‚ÌŒŸ“¢
E ‚h‚s‰»‚³‚ꂽ•a‰@‚É‚¨‚¯‚éƒf[ƒ^ƒEƒFƒAƒnƒEƒX‚Ì\’z@ |ê–å•a‰@‚É‚¨‚¯‚é—Õ°Œ¤‹†‚ÆŒo‰c‚ÌŽ‹“_‚©‚ç|
E Linux‚©‚çAndroid‚Ö‚Ì‚b++ƒ‰ƒCƒuƒ‰ƒŠˆÚA‚Ì•û–@‚Æ‚»‚Ì•]‰¿
E ‚h‚b‚t‚É‚¨‚¯‚éŽwަ“`’BEŽÀŽ{‰ß’ö‚̉Ž‹‰»‚ƃCƒ“ƒVƒfƒ“ƒg‰ð͂ւ̉ž—p
E æ“V«S޾гƒtƒHƒ[ƒAƒbƒvSƒGƒR[ŒŸ¸‚Ì‚½‚߂̕K{î•ñ |Š®‘S‘匌ŠÇ“]ˆÊi‚s‚f‚`j‚ð—á‚Æ‚µ‚Ä|
E ƒjƒ…[ƒƒ“Šˆ“®‚É‚¨‚¯‚郋[ƒv‰ñ˜H‚Æ‚lŒn—ñi‹[Ž—ƒ‰ƒ“ƒ_ƒ€Œn—ñj‚ÌŠÖ˜A«‚ɂ‚¢‚Ä
E ’nˆæˆã—ØAŒg‚Ì—§ê‚©‚猩‚½‚c‚o‚b‚ð—p‚¢‚½ˆã—ÃŒ—•ªÍ‚ÌŽŽ‚Ý |‚c‚o‚b‚ð’†S‚Æ‚µ‚½ˆã—Ãî•ñ‚Ì“ñŽŸ—˜—p‚É‚æ‚銳ŽÒ’²¸‚ÉŠî‚¢‚Ä|
E Œg‘Ñ’[––‚ð—p‚¢‚½î“®ƒXƒgƒŒƒX•‰‰×Žž‚É‚¨‚¯‚é”]”gƒEƒF[ƒuƒŒƒbƒg‰ð͂ɂæ‚鎞Œn—ñ•]‰¿
E ƒXƒ}[ƒgƒtƒHƒ“‚É‚æ‚éî“®ŽhŒƒ‰º‚Ì”]”g‰ðÍ
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E ƒXƒ}[ƒgƒtƒHƒ“‚É‚æ‚éƒzƒ‹ƒ^[S“d}s“®‹L˜^ƒVƒXƒeƒ€‚ÌŠJ”­
E ŒŒ‰t“§ÍгŽÒ‚ÌŽ©ŒÈŒŒŠÇŽg—p”牺“®Ã–¬á‘‚É‚¨‚¯‚éã˜r“®–¬ŒŒ—¬—ʂƃVƒƒƒ“ƒg‰¹‚ÌŽü”g”‰ðÍ
E ƒƒ^ƒ{ƒŠƒbƒNÇŒóŒQ‚Ì“Á’茒f‘ΉžƒxƒCƒWƒAƒ“ƒlƒbƒgƒ[ƒN‚Ì\’z
E ƒXƒ}[ƒgƒtƒHƒ“‚ð—p‚¢‚½Ý‘”A•aгŽÒƒTƒ|[ƒgƒVƒXƒeƒ€‚ÌŠJ”­
E ŠÅŒìŒ»ê‚É‚¨‚¯‚é’[––‹@Šíƒ†[ƒUƒCƒ“ƒ^ƒtƒF[ƒX‚ÆŽd—l‚ɂ‚¢‚Ă̌Ÿ“¢ |ŠÅŒì‹Æ–±‚ð’†S‚Æ‚µ‚Ä|
E ‡–°Žž–³ŒÄ‹zÇŒóŒQ‚ÌŠé‹ÆŒŸfƒf[ƒ^‚ÉŠÖ‚·‚镪͂ƕ]‰¿
E ƒTƒ|[ƒgƒxƒNƒ^[ƒ}ƒVƒ“‚ð—p‚¢‚½‘ÙŽ™S””‚̃pƒ^[ƒ“•ª—Þ‚ÉŠÖ‚·‚錤‹†
E Œg‘Ñ’[––Žg—pŽž‚É‚¨‚¯‚éî“®ŽhŒƒ‰º‚Ì–¬”gU•’l‰ð͂ɂæ‚鎩—¥_Œo‹@”\•]‰¿
E ƒIƒ“ƒgƒƒW[HŠw‹Zp‚ð—p‚¢‚½•a‰@“à‚ÌŠeŽí‹Æ–±ƒ}ƒjƒ…ƒAƒ‹‚Ì®‡«ˆÛŽ‚ÌŽÀŒ»


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E ЊQŽž‚ÌŽ©•‚Æ‹¤•‚ÉŠÖ‚·‚éŠî‘b“IŒ¤‹† |Ž©Žå–hБgD‚ÌŒ»ó‚ÆICT‚É‚æ‚銈“®Žx‰‡‚̉”\«‚ÉÅ“_‚ð“–‚Ä‚Ä|
E Šw¶‚ÌŒmŒÃŽ–EŽå‘Ì“IŒ|pŠˆ“®Œo—ð‚ÆŒ|p‚ւ̈ӎ¯‚ÆŽù—vŒ`¬\‘æ‚T‰ñ‘S‘Šw¶’²¸‚ÉŠî‚­•ªÍ\

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E ƒXƒ}[ƒgƒtƒHƒ“‚ð—p‚¢‚½î“®ŽhŒƒ‰º‚ł̃zƒ‹ƒ^[S“d}‚ÌŽü”g”‰ð͂ɂæ‚鎩—¥_Œo•]‰¿
E DFA‚ð—p‚¢‚½Žwë—eÏ–¬”g‚É‚æ‚铜”A•a«tÇŠ³ŽÒ‚ÌŽ©—¥_Œo‹@”\•]‰¿
E bó‘Bê–å•a‰@‚É‚¨‚¯‚éŠO—ˆŠ³ŽÒ‚Ìf—ÃŒ—‚ÉŠÖ‚·‚錤‹†
E ‚Q‚cE‚R‚c‰f‘œ’ñަ‚É‚æ‚éS””•Ï“®‚ւ̉e‹¿‚ɂ‚¢‚Ă̌¤‹†
E lHŠ·‹C’†‚É‚¨‚¯‚é’´‰¹”gƒlƒuƒ‰ƒCƒU[‚ÌŽæ‚è•t‚¯ˆÊ’u‚ª”x“à–ò‰t“ž’B—¦‚É‹y‚Ú‚·‰e‹¿‚Ì•]‰¿
E “§Í‹Æ–±‚̉Ž‹‰»‚ƃCƒ“ƒVƒfƒ“ƒg‘Îô‚ւ̉ž—p
E Webƒuƒ‰ƒEƒU‚ð—˜—p‚µ‚½ŽžŒn—ñƒf[ƒ^•\ަƒ\ƒtƒgƒEƒFƒA‚ÌŠJ”­
E fMRI‚ð—p‚¢‚½¸_“Iî“®•‰‰×Žž‚Ì”]‹@”\Šˆ“®‚Ƹ_ˆÀ’è“x‚Ƃ̊֘A«‚Ì•]‰¿
E g‘Ì‘g¬•ªÍ‘•’u‚ð—p‚¢‚½ŒŒ‰t“§ÍгŽÒ‚̑̉t—Ê•]‰¿

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E ƒI[ƒvƒ“ƒ\[ƒXƒ\ƒtƒgƒEƒFƒA‚ðŠˆ—p‚µ‚½‰¹º”Fޝ‚r‚m‚rƒVƒXƒeƒ€‚Ì\’z
E Windows Communication Foundation ‚ðŽg—p‚µ‚½ƒ‚ƒfƒ‹ƒx[ƒX•ªŽUŠJ”­ŠÂ‹«‚Ì\’z
E ƒT[ƒrƒXƒRƒ“ƒsƒ…[ƒeƒBƒ“ƒO‚ÉŠî‚Â­Š³ŽÒ’†SŒ^•ž–òŽx‰‡ƒVƒXƒeƒ€
E MCOML«ŠûMonte Carlo on Machine Learning
E CKD’nˆæ˜AŒgƒNƒŠƒjƒJƒ‹ƒpƒX‚É‚¨‚¯‚é˜AŒg󋵂̕ªÍ‚Æ•]‰¿
E Energy Efficient Sensor Scheduling Algorithms in a Sensor Node
E ‘½”Œˆ—v‘f‚©‚笂郉ƒ“ƒ_ƒ€Œ‹‡ƒlƒbƒgƒ[ƒN‚Ìó‘Ô‘JˆÚ“Á«
E ‰¹º”FޝƒGƒ“ƒWƒ“‚ð—p‚¢‚½‰p’PŒê”­‰¹—ûKƒVƒXƒeƒ€‚Ì\’z
E ‚ŽŸŒ³ƒjƒ…[ƒ‰ƒ‹ƒlƒbƒg‚ł̃pƒ^[ƒ“’¼Œð‰»‚É‚æ‚é˜A‘z‹L‰¯ƒ‚ƒfƒ‹
E Œg‘Ñî•ñ’[––‚ð—p‚¢‚½ƒ\[ƒVƒƒƒ‹EƒTƒ|[ƒgƒVƒXƒeƒ€‚Ì\’z
E A Design Framework to Enhance User Privacy Risk Mitigation for Users of Mobile Devices: The Case of Android
E Security Decision Support System to Evaluate and Monitor Public laaS Cloud Service Providers
E A Sophisticated Method to Classify and Cluster Search Redirection Malware
E A Study on Privacy Protection Method during Mobile Forensics Investigation
E Proposal and Feasibility of Rescue Support Systems in Large-scale Natural Disasters
E A Study of New Types of One-Click Fraud
E Reliability Test of Persistency on TPM's NVRAM


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E Carbon Emission Reductions and Removals through Reducing Deforestation and Forest Degradation in Phnom Tbeng Forests
E Šw¶‚ÌŒmŒÃŽ–EŽå‘Ì“IŒ|pŠˆ“®Œo—ð‚ÆŒ|p‚ւ̈ӎ¯‚ÆŽù—vŒ`¬\‘æ‚T‰ñ‘S‘Šw¶’²¸‚ÉŠî‚­•ªÍ\
E Android’[––‚ð—˜—p‚µ‚½ÐŠQŽž‚Ì”ð“̓üŠ“o˜^EŠÇ—ƒVƒXƒeƒ€‚ÌÝŒv
E Šî‘bީޡ‘̂̌ËÐEZ–¯Šî–{‘ä’ ŠÖ˜Aî•ñƒVƒXƒeƒ€‚ÌŒ»ó‚Ɖۑè
E Šî‘bީޡ‘Ì‚ª®”õEŒö•\‚·‚éƒnƒU[ƒhƒ}ƒbƒv‚ÌŒ»ó‚Ɖۑè\ˆ¤’mŒ§‚ÌŽs’¬‘º‚ÌŽ»ŠF’²¸Œ‹‰Ê‚©‚ç\

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E —v‰‡Œì‚—îŽÒ‚Ì’nˆæ¶ŠˆŽx‰‡‚É‚¨‚¯‚é“KØ‚Èî•ñ‹¤—L‚ÆŒÂlî•ñ‚ÌŽæ‚舵‚¢‚ÉŠÖ‚·‚錤‹†
E —Õ°ŠÅŒìŽÀ‘H‚É‚¨‚¯‚éŠÅŒìŽt‚Ì—Õ°”»’f‚ÆŽvl‚ÉŠÖ‚·‚錤‹†]“dŽqƒJƒ‹ƒe‚ð—p‚¢‚½Š³ŽÒî•ñŽûW‚©‚ç‚ÌŒŸ“¢]
E ”F’èŠÅŒìŠÇ—ŽÒŒ¤C‚É‚¨‚¯‚éŠÅŒìî•ñ‹³ˆç‚Ì•]‰¿
E “dŽq‰»‚³‚ꂽŠÅŒì‹L˜^‚É‚æ‚éŠÅŒì‚ÌŽ¿•]‰¿Žw•W‚ÌŒŸ“¢
E ƒXƒ}[ƒgƒtƒHƒ“‚ð—p‚¢‚½î“®ŽhŒƒ’¼Œã‚Ì”]”g‚̃EƒF[ƒuƒŒƒbƒg‘ŠŒÝ‘ŠŠÖ‰ðÍ
E ƒ‚ƒoƒCƒ‹’[––‚ð—p‚¢‚½‰Á—î‚É”º‚¤Ž‹‹@”\•ω»•]‰¿ƒVƒXƒeƒ€‚Ì\’z‚ÉŠÖ‚·‚錤‹†
E ŒŒ‰t“§Í‚É‚¨‚¯‚ézŠÂ“®‘ԂƉÁ‘¬“x–¬”g‚Ƃ̊֘A«
E Œg‘Ñ’[––‚ð—p‚¢‚½î“®ŽhŒƒŒã‚Ì”]”gƒRƒq[ƒŒƒ“ƒX’l‚Æ«ŠiŒXŒü‚ÌŠÖ˜A«
E S””•Ï“®‰ð͂ɂ¨‚¯‚é RR interval‚Æ Heart Rate •\Œ»Œ`Ž®‚Ì·ˆÙ‚ÉŠÖ‚·‚錤‹†

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E AndroidƒfƒoƒCƒXŒü‚¯ƒf[ƒ^ƒXƒgƒŠ[ƒ€ŠÇ—ƒVƒXƒeƒ€‚ÌŠJ”­\ƒNƒGƒŠˆ—•”\
E •s³ƒAƒNƒZƒX‚Ì“Á«‚ÉŠÖ‚·‚錤‹†\ •s³ƒAƒNƒZƒX‚É—p‚¢‚ç‚ê‚éUŒ‚ƒpƒ^[ƒ“‚ÌŽûW‹y‚щðÍ\
E Android OS‚É‚¨‚¯‚éƒp[ƒ~ƒbƒVƒ‡ƒ“‚ÉŠÖ‚·‚錤‹†
E _ŒoŒn‚É‚¨‚¯‚éƒXƒpƒCƒN“`’B‹@\ƒ‚ƒfƒ‹
E THAгŽÒ‚Ì‚½‚߂̓úí¶Šˆî•ñ’ñ‹ŸƒVƒXƒeƒ€‚Ì\’z
E Development of DataStream Management System for Android Device ]Stream@Processing Part]
E Cyber Espionage Activities in Japan
E An Approach to Digest Privacy Policies by Crowdsourcing
E Deep Dive Into The Advanced Persistent Threat -The Smokeless War In Cyberspace-
E An Exploratory Study of How Online Social Networks Facilitate User Privacy Management -The Facebook Case-
E A Method to Detect Android Privilege Escalation
E Analyzing inconsistencies between responses to multiple-choice questions and free-response questions in password behavior surveys
E Cross-cultural Analysis of Privacy/Disclosure Behavior from Users of CMU Facebook Network


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E Development of a Disaster Mitigation Application for Android Mobile Devices Based on Hazard Maps, GIS and GPS in Japan
E ’n•ûީޡ‘Ì‚ÌICTŠé‹Æ—U’vŽ{ô‚ÌŒ»ó‚Æ‚»‚Ì—LŒø«‚ÌŒŸØ

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E ‚ª‚ñ•a°‚É‚¨‚¯‚éPNS•ûŽ®“±“üŒã‚Ì”z–ò‹Æ–±‚̃Cƒ“ƒVƒfƒ“ƒg‚ÉŠÖ‚·‚錤‹†
E “dŽqƒJƒ‹ƒe‚ª“±“ü‚³‚ê‚Ä‚¢‚é‘—§‘åŠw–@l•a‰@‚É‚¨‚¯‚éî•ñ—Ï—‚ÉŠÖ‚·‚鋳ˆç‚Ì‚ ‚è•û‚ɂ‚¢‚Ă̌Ÿ“¢
E Œp‘±‰Â”\‚È“œ”A•aŽ©ŒÈŠÇ—Žx‰‡ƒVƒXƒeƒ€‚Ì\’z‚ÉŠÖ‚·‚錤‹†
E ŠÅŒì•K—v“x‚ÆŠ³ŽÒƒI[ƒ_[‚ÌŠÖŒW«‚Ì•ªÍ
E _Œo‰ñ˜H–Ԃ̃XƒpƒCƒN“`”À‚É‚¨‚¯‚éŠwK‚É‚æ‚éd‚݂̕ûŒü«‚̕ω»
E OpenGL‚ð—p‚¢‚½”]”g‚É‚¨‚¯‚éŠÖ˜A‰ð͂̉Ž‹‰»
E ƒ}ƒ‹ƒ`ŽhŒƒ‚É‚æ‚é_Œo‰ñ˜H–ÔƒVƒ~ƒ…ƒŒ[ƒVƒ‡ƒ“‚É‚¨‚¯‚é“`”À“Á«‚̉ðÍ
E ‰¼‘z‰»‹Zp‚ð—˜—p‚µ‚½•a‰@î•ñƒVƒXƒeƒ€‚É‚¨‚¯‚éˆã—p‰æ‘œ”zM‚ÉŠÖ‚·‚錤‹†
E “dŽqƒJƒ‹ƒeƒVƒXƒeƒ€‚É‚¨‚¯‚éƒCƒ“ƒtƒH[ƒ€ƒhEƒRƒ“ƒZƒ“ƒg‹LÚŽ©“®ŠÄ¸ƒVƒXƒeƒ€‚Ì\’z
E ƒQ[ƒ~ƒtƒBƒP[ƒVƒ‡ƒ“‚ÉŠî‚­ƒEƒH[ƒLƒ“ƒOƒTƒ|[ƒgƒVƒXƒeƒ€‚Ì\’z
E ‘ÙŽ™S””ƒf[ƒ^‚ÌWebƒuƒ‰ƒEƒU•\ަ‚ÆŠŒ©“ü—̓VƒXƒeƒ€‚ÌŠJ”­
E _Œo‰ñ˜H–Ô‚É‚¨‚¯‚éƒXƒpƒCƒN”g‚̉Ž‹‰»‚É‚æ‚éŠwK‘¥‚̉ð–¾
E _Œo‰ñ˜H–Ԃ̃XƒpƒCƒN“`”À‚É‚¨‚¯‚éŠwK‚É‚æ‚éd‚݂̕ûŒü«‚̕ω»
E –«ˆÛŽ“§ÍгŽÒ‚ÌŽwë—eÏ–¬”g”gŒ`‰ðÍ‚ÆzŠÂ“®‘Ô‚ÌŠÖ˜A«
E _Œo‰ñ˜H–Ԃ̕ЕûŒüE‘o•ûŒüŽhŒƒ‚É‚æ‚éƒXƒpƒCƒN“`”d“Á«‚̉ðÍ
E ‚Ä‚ñ‚©‚ñˆÙí”g‚ɑ΂·‚é”]”g‚ÌŽžŠÔ·‰ðÍ
E ‚Ä‚ñ‚©‚ñŒã”­ŽË—}§Žž‚Ì•”ˆÊŠÔŠÖ˜A«

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E Extended Untraceable Privacy Protocol in IPv4/6 Networks


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E Boosting Algorithm‚Æ‘½dƒAƒ‰ƒCƒ“ƒƒ“ƒg‚É‚æ‚铜½‚ÆŽ¾•a‚Ì‘ŠŠÖ‚Ì‰ð–¾
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E The design, implementation and preliminary evaluation of a privacy bargaining simulator
E Lessons from data breach reporting in the US: A Longitudinal, Categorical and Geographical Analysis

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E Comparison of diffuse alpha pattern and normal alpha pattern using wavelet-crosscorrelationanalysis

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E A New OS Simulator for Automotive Systems
E Detection of fake sites based on the DOM tree structure analysis
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E Project Based Learning leveraging DOL's Cybersecurity Competency Model and TeamOptimization Algorithm
E A fast algorithm to compute sparse subpath kernels - Detecting fake sites fast -
E Normative and Non-normative Factors that Impact Valuation of Online Data Privacy : APreliminary Investigation
E Online Auction Result Prediction by NLP-Based Machine Learning
E The Case for Docker-based Cloudlets: optimized container live migration
E A Proposal on Security Frameworks for Wearable Devices

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E Matrix Decomposition based Clustering in Reproducing Kernel Hilbert Space
E Selling Behavior Characterization of Online Anonymous Marketplaces Using Side Channels
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E Taint Tracking for Detecting XSS Vulnerabilities in Node.js Packages
E Semantic Argument Classification by Pattern Extraction from Tree Structures
E Analyzing DOM Trees of Phishing Sites: Pattern Extraction from Tree Structures

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