個人數(shù)據(jù)安全觀調(diào)查報告

1、僑錜靈叅 Personal Data Security Concept Investigation灇瑕皍鶣僑研厑鴪倛僑研傞欽僑研偽僑瘻爢絑崸涸傞僑 研涸碫 霽劼匬褐劥餘溏僑研勻彂嫦杝用涸暵剣叻霋遤,嵳呋涸僑研剒絊小巤梡猰涸籖雖涸 僑研遤罏?zāi)帛渻S研姼殣禹絡(luò)灇瑕僑研涸雩濼劅姼僑研蕘侮翫緸僑研 涸椚確程欽絁靈灇霹僈靈灇薴靈灇傞2020 5 剢剣佪呋劥1075 搋挿絆霹僈靈灇薴靈灇傞2020 5 剢剣佪呋劥4 * 4 絆絁靈灇僽劥妃灇瑕涸銳倰歲搋挿絆霄靍僽劥妃灇瑕涸邉倰歲從概念到理念：重新認識個數(shù)據(jù)安全銳 僑研僽霋霋涸荈搬剣涸併僑研猙僑研僈爍 僑研剣岤鵛 96% 涸僈爍邍爙錠荈魧涸僑研告 80% 涸雩

2、蜦僑 研傞劅僑研臘剣姻爍僽荝錞垷僑研胇涸銳2004-2019 涸 299 飾僑研屧怩佦務(wù)58% 僽 鳴僑研佐/欽倰僑研涸牌錠僽荝僑研屧怩涸剣鵛 90% 涸霄罏邍爙佐鵂勻騟僈涸瀊歏霢 欨蕘剣紨 33% 涸霄罏剣鵂鄄欽涸餛鵂 70% 涸霄罏雩僑僑研佐倰尵剣黽撐湱涸錞畎歲 勻涸僑研僑研盜椚歲 2019 5 剢姻爢寵錛爍僑研僽獘涸絶僽 鵳梠涸劌僽寵涸剣 51 纈雩剪倰剣僈爍涸僑研靂荈魧涸偽 歲嶊70% 涸霄罏雩卓僑研佐倰臘僈爍濼欽欽僑研傞鵵導(dǎo)僑研勉靂務(wù)錞涸 涸歲餓饄齡欽涸勉剣僈爍歲勉餓僽僑研佐倰蜦欽涸剒 鷥剣僈爍涸靂72% 涸欽勉僑研傞毟贊欽僑研靂涸贊玐佐姻 湱盜劼兜涸僑研霃告殆紨 46% 涸霄罏劼務(wù)

3、涸僑研鰍 PC 畮劌 告務(wù)涸邍梡玐涸鎊遤紨 51% 涸霄罏雩欽劼務(wù)涸歏臘 霃欰傞50% 涸霄罏劼涸僑研 PC 畮鵳遤姿翫霋紻霋露霋 勱忘駈僑研涸劍告 APP 剪倰霃縨僑研霄勉涸欽蕘 72% 罜剣 51% 涸欽幡椚荈涸乼崹 錢雵馰鷐僽剒僒鄄欽濼涸僑研欽鸀湱嬙猙蠒劼匬涸劼匬僑研涸劌 滿剪欽帿涸欽鷶姿佞匠僑研涸鵛 79% 涸欽欽APP 剪傞絈 靀勉靂剪遤輑毫鸑鵘鱈遤剒罜僑研勉絛碫APP 傞 涸叻餛鵂 55% 涸邍爙荈魧涸僑研宐剣僑研梠涸僑字涸霋從理念到洞察：個數(shù)據(jù)安全觀調(diào)查銳 83% 涸霄罏僑研佐倰鷥劌霪僑研餏餓涸歲港盜劼匬 74% 涸嬙僑研涸 僑研佐倰僽雩涸痦餓剣 75% 涸霄罏雩歲歲錞涸紨勲僑研

4、涸傞65% 涸 霄罏雩字猙涸錜侮爢涸僑研勻姻蜒錛蜒儑劼匬 邍涸僑研佐倰鵮呔涸遤荈碫兞試欽屧絶欽涸僑研 姼碫剪涸忘劼匬罜鎊僑研勉涸炄溫姻欽寵 涸剪臘港盜劼匬剣釁僑研盜椚歲寵涸鷓傞爍港盜劼匬 僑研欽倰僑研倰湱欽禹涸 KANO 垷區(qū)絕卓儑爙欽遤僑研皾歲崵涸貓剪絑忘駈欽寵涸剪鵯滿傉欽 偽歲蜦欽僑研湱涸歲歲錞鍒帿餛鵂 29% 涸嶊餩罏荈魧鍒湱歲歲錞玐涸荈霉鍒鰍 鍒剣偽雿歷寵歲鸀僑研涸欽鵛 35%務(wù)餛鵂 6% 涸欨 鍒湱歲涸臘館搬絯湱歲涸雩濼帿吆用姻爍涸僑研錜從洞察到動：提升個數(shù)據(jù)安全的建議銳011嚋椚倝雩霋僑 From Concept to Notion: Re-understanding Person

5、al Data SecurityPart01僑研涸籖劼匬僑研涸椚鍒荈搬剣劥妃灇瑕務(wù)罌妍湅GDPR 僑研涸僑研僽霋霋涸荈搬僑研剣 涸岤1. GDPR 妍湅鸑欽僑研勵涸薉俒獦皍俒務(wù)鵳 姿鍒靀靈涸僽鄄鯪歲臘鍒靀雩濼涸剣涸 僑研僑研 湱鯪僑湱 僑研僽劌錜涸嚋鯪騟溏僑 研僽鰍劌涸 佞僑併僑猙 僑併僑研僽銳鄄暵涸僑研GDPR 務(wù)絛 併僑研涸貓偛字偛佟屛錜挿侅 欰暟僑研瘝猙僽字欰崞務(wù)濼涸猽 呋絛涸僑研錠猙僑研 緸絞歲務(wù)剣猙涸 歲僑僽霋霋涸荈搬剣涸 2偽雿涸魧僑研湱劥妃靈灇務(wù)剣 95.8% 僈爍邍爙錠荈涸僑研剣 0.6% 涸霄罏姼錜挿蕘溏僑研 蜦字錠岤2. 劥妃涸靈灇呋劥鴪 1075 忘駈縨宐 99%縨5 薴

6、涸絕卓鱈佦絡(luò)雦霄罏邍 鶣54.4%41.5%捘3.5%傁 0.6% 0.0%捘霄罏嬙%玐霹歲 錠涸僑研 尵剣錠僑涸 326.5%27.6%22.8%36.7%33.3%52.9%54.4%50.4%44.9%46.7%14.7%13.6%17.4%14.3%13.3%5.9%4.1%8.7%0.0%0.0%0.4%0.7%2.0%2.0%6.7%00908070劌纈捘傁捘%玐霹歲翫緸絑崸擿涸剣僑 研搬罜鵛 80% 涸霄罏邍爙蜦僑 務(wù)歲涸翫緸絑崸絑崸涸傞僑研涸傈渤儑79.5% 涸霄罏雩翫緸絑崸擿涸 剣僑研鵂雩濼涸溏80 纈剣湱僈儑涸務(wù)用90 纈涸僑研剒纈湱 6.7% 涸 51 霄罏雩僑研涸剣模鵯

7、嬙僽媯霄罏涸 2 岤3. 務(wù)餒絑翫緸絑崸覰淼邍涸灇瑕餴俱務(wù)務(wù)鄄歲剒涸翫緸絑崸涸僑絑崸4劅僑臘剣姻爍 僑研劌僽猙僑研涸告翫緸傞臘 絑尵剣猙欰崞務(wù)涸雽兞銳銳勉鵯 鄄溏呏鵮僽尵剣僑研涸霋藹欰28 欰25 忡涸僑研 鄄屧怩僽涸歏霢瀦僑研禹 涸嬙涸 僑研告鵯僑研僽剒僒偽鄄屧怩涸飯23 貓呔 錠涸僑研貓 僽嶍餒傞貓僽涸兞湱欰傞剣兞銳 涸鵯 傞暵涸僑研 鄄歲欽璦涸僑研鄄錠僽涸絑銳寵雽涸猙告鵯 遤尵剣涸雽欰崞務(wù)鵮雽霶涸兞剣傞 銳臘雽嶊餩罏涸桬20 導(dǎo)558.2%5.7%6.7%11.0%12.0%5.4%客侵數(shù)據(jù)安全平不媒體數(shù)據(jù)被竊取或遺失因意外公布在作中發(fā) 設(shè)備竊取或遺失 其他鵛勻鰍錞垷涸僑研絶涰猰絡(luò)雦涸

8、2004-2019 涸 299 飾僑研屧怩佦務(wù)58.2% 僽 歋鳴僑研宐駈爢邍涸僑研鄄璦麰僽嬙鰍涸2004-2019 僑屧怩佦碫呩荝薉僑屧怩僽僑胇涸銳 勻彂?zhàn)i俱絶涰猰薉 欽僑研剣匧嚋檜暑歲佐 渤劍欽涸渤薉 2012 6 剢黨縄倛厤 紨 650 欽涸餖瀦黨屧怩盜薉鳥導(dǎo) 欽佖餖瀦告霪佦欽涸 瀊劍嶊鷍2016 5 剢剣獦 1.17 薉欽涸餖 5 嬙暵 涸呔告靈叅梡鄄欽涸餖瀦搬勻荈 2012 涸677.8%40.5%32.9%17.2%1.5%佐勻騟僈涸瀊歏霢佐勻騟僈涸歏齱 偽僈爍椚歋鄄銳寵 鄄欽游欽佐勻騟僈涸醙鷻偽暋欰27 導(dǎo) 銳欽 APP 涸剪 傞剪倰銳寵 涸劼鵯貓兞 偽鷥鷥鷍雧欽鵮僽 佐湱瀊涸

9、%89.2%剣鵂錛涸僑研剣涸絑 霄罏鷥僑佐/欽倰僑涸錠僽荝僑屧怩涸 僑研佐/欽倰罜鎊偽僈爍靂勱絑雽涸鷐僽僑研涸餓雽絑鵂僑研屧怩剪倰涸 椚欽罜勻涸涸欨蕘胇魧餒劥妃靈灇務(wù)剣鵛 90% 涸霄罏邍爙佐鵂勻騟僈涸瀊歏霢欨蕘剣 32.9% 涸霄罏剣鵂鄄欽涸719.7%50.9%23.1%4.7%1.7%捘傁 捘霄罏嬙%玐霹歲僑僑研佐倰尵剣呔僑研臘涸僑研 欽滾務(wù)僑佐倰玐僑涸椚 欽僑研佐倰僑研涸姺歲胇涸鼙僑研涸椚欽70.6% 涸霄罏雩僑僑研佐倰尵剣黽撐湱涸錞畎歲勻涸僑研告鵯貓捘剣 23.1% 涸霄罏務(wù) 用嬙殜捘涸纈鵯僑研佐倰禹涸炄8歐盟中國美國鸑欽僑研勵 GDPR妍湅鷓僑研盜椚歲寵錛珳務(wù)鷓欽獷嶊餩罏猙歲呩CC

10、PA繠鷓欽2019 5 剢爢寵錛欰佪2018 6 剢2020 1 剢欰佪2016 5 剢鸑鵂 1995 涸 佖2018 5 剢妍湅傋剣妍湅字涸猙僑研 欰佪月鵳妍崍涸僑絑崸港盜罏用劥勉挿僑研欽犜姺剣歲勉傞 雽椚僑研鵳遤鷥涸歲 研絶爢渤 字歲絆絉緸絞瑟涸歲 勉渤呏研緸絞歲瘝歲歲錞 港盜罏用僑研 欽僑研欽犜姺剣歲勉傞 雽緸絞歲稒翫禹歲炄剣僈爍錞剒字佐 嶊餩罏僑研涸遤涸嶊餩罏猙靂 絑牰靈侮鸑鵂歲呩嶊餩罏用錞薴僑研涸欽僑研欽雽剣勵 犜姺偽僈爍涸歲炄歲渤霃嚋 椕薴雽僑研湱涸歲盜椚歲字涸勉絶獘爍翫緸絑崸涸葻 鵘遤妍湅僽椕薴僑研用歲港盜涸遤罏檜涸 GDPR 霽僑研用歲涸銳撐務(wù) 2019 5 剢僑研盜椚歲涸寵錛

11、珳剣模僑研盜椚劼涸翫緸絑崸 歲錞獦/薴 /欰佪傞 勝兞 歲錞銳挿爍僑僽獘涸 絶勻彂碫佟劼匬餴俱 93.9201420152016201720182019涰繠 3.9絑崸梠荈罜欰涸渤勻劼匬僑研涸錠欽僑研涸椚欽 研 IBM 絡(luò)雦椕錞垷僑研屧怩倰涸劥 392 繠嵐饞2019 僑研屧怩涸僑研 雵錞垷 25,575 勵姼爍僑研僽鵳侮梠涸僑研屧怩涸劥4.03.83.63.5爍僑僽鵳梠涸 勻彂IBM10僽碫剒炄涸寵劌僽欰涸銳匬僑研巑 涸銳匬爍僑劌僽寵 涸倛峫寵務(wù)涸 姼爍僑研僽寵鷅寵 涸倶檲?zhí)E兜務(wù)涸爢禹荈魧 涸靕珘椚 S . H .Schwartz 湬荝兜涸灇瑕 44 餛鵂 25000 涸靈叅絕 10 貓碫

12、雩涸 饟搬倛峫寵妃椚雿僽僥寵紩遤劼涸絑椚 寵歋寵 寵餒寵 葻涸寵瘝絆 寵僽劌涸寵涸梡 炄傉荝荈梡 瘝瘰寵洲 荈兜勉 慨黽絡(luò)勻彂ResearchGate11荈梡寵 寵寵欰椚寵021椚峯僑錜靈 叅From Notion to Insight: Personal Data Security SurveyPart02 0.3% 7.5%20.1%54.5%17.6%捘傁 捘霄罏嬙%玐霹歲欽銳勉僑研涸剪傞倰臘僈爍錞薴涸僑研靂 毟贊剣僈爍涸靂72% 涸欽勉僑傞毟 贊送挿絆雭雿務(wù)80% 涸霄罏雩僈爍錞薴涸勉靂偽歲剣佪鰈僑研涸贊灇瑕絕卓鵯錜挿72.1% 涸 霄罏邍爙勉僑研傞倰僈爍錞薴涸僑研靂剣毟贊俒區(qū)務(wù)霄罏僑

13、研欽椚涸荝涸僽務(wù)用罏嬙匧畮罏13佐纈 97.8%瘝佐纈 90.1%佐纈 84.1%91.2%92.0%91.7%93.9%100.0%00908070劌纈%玐霹歲欽銳勉僑研涸剪傞倰臘僈爍錞薴涸僑研靂 欽僑靂涸贊玐佐姻 湱饎霪錜挿涸霄罏毟贊& 涸僽 & 涸剢佐 僽饎霪錜挿涸霄罏佐餒涸獤稡僑研劌險霄罏佐霪涸溏佐纈僑研靂涸贊玐劌罜滿涸僑研勉靂涸毟劥妃靈灇務(wù)剣 51 纈雩剪倰剣僈爍涸僑研靂 荈魧涸偽歲嶊1470.9%65.2%59.5%55.6%34.7%27.2%13.1%0.8%僈爍濼倰鵵勵傞涸餓涸饄 僈爍僈涸僑研欽倰銳寵欽僑研涸劼匬僑研倰剣 吆僈爍濼臘涸僑 研欽鸀倰涸剪涸寵湱 倰臘蜦劌餘 涸剪臘

14、絛涸欽 暵勉偽霄罏鷥%霼寵勉僑研欽涸勵兞僑研勉絛劼匬欽涸 ?餛鵂 70% 涸欽僑勉絛僈爍湱歲勉餓涸劼 匬70.9% 涸霄罏雩卓僑研佐倰臘僈爍濼欽欽僑研傞鵵導(dǎo)僑研勉靂務(wù)錞涸涸歲餓饄齡欽涸 勉剣僈爍歲勉餓僽僑研佐倰蜦欽涸剒鷥岤涸僽餘剪歋絛慨霼寵欽勉僑研臘湬欽勉僑研欽涸157.5%17.8%29.1%40.0%5.6%霄罏嬙%玐霹歲湱嬙歏腰務(wù)涸僑研雩劼務(wù)涸僑研劌 盜劼兜涸僑霃告殆 捘傁捘蘭臘劼傍餛餿歏腰剒欽涸緸絞剪蜦霃研CNNIC 僑研務(wù)劼緸字鴪 8.97 緸字欽劼緸涸嬙 99.3%罜欽 歏腰疴雵劥歏腰匣歏腰緸涸嬙 42.7%35.1% 29.0%告蘭臘劼涸兜尵剣剒涸僑研霃剣 45.6% 涸霄罏僈爍

15、邍爙劼務(wù)涸僑研鰍PC 畮劌劼鸑氻嫫胇僑研涸傞僒麰涸劼涸 模勻彂CNNIC 痦 45 妃務(wù)翫緸絞朐絡(luò)雦盟 1628.8%17.8%10.6% 11.9%40.5% 39.4%21.0%25.5%捘傁 2.3% 2.2%捘欽瀦涸霄罏 嬙欽僑研姿涸霄罏嬙%玐霹歲欽劼務(wù)涸歏瀦臘涸霃欰& 獴畮僑研 PC 畮鵳遤姿翫獴霃宐涸邍梡玐涸鎊 遤俒梡湱涸僽 51.1% 涸霄罏雩欽劼務(wù)涸歏瀦臘霃欰傞51.3% 涸霄罏 劼涸僑研 PC 畮鵳遤姿翫偽雿僽歲雩僑絑鄄用飾劼涸悶獴務(wù)僑絟鷥罏1732.7%24.1%20.7%47.4%45.1%43.4%13.7%18.8%22.5%6.1%11.6%12.5%霋紻霋露霋捘傁

16、捘80.1%69.2%64.1%玐霹歲欽霋/紻霋/露霋剪傞涸 僑研霋紻霋露霋勱忘駈僑 涸劍滿蘭臘助宐涸僑研佐蜦涸尊呋紻霋霋梡岌欽獴霃僑研涸罜荈魧 僽僑研涸倰蘭臘露霢涸兞餿兜麑罏涸岌欽鼙欰80.1% 涸雩 霋偽歲忘駈荈僑研涸寵罏務(wù)嬙剒69.2% 涸霄罏紻霋剣露霋剣贊涸霄罏嬙罏務(wù)嬙剒 告嬙鴪 64.1%1824.9%17.6%10.6%53.7%54.5%40.5%14.1%20.1%28.8%6.5%7.5%17.8%絈靀勉靂霃縨僑研霄勉幡椚乼雵捘傁捘78.6%72.1%51.1%玐霹歲剪銳勉欽僑研傞絈靀勉靂務(wù)涸/霃縨 碫 APP 涸霄勉/幡椚涸乼雵cookies僑研滿剪欽帿涸欽鷶姿佞匠僑涸 靀

17、勉靂霃縨僑研霄勉幡椚乼雵僽僑研涸貓欽倰欽獴畮欽涸欽騟溏欽 欽務(wù)欽靈灇絕卓儑爙欽僑研涸梡怩修剪欽帿餿帿僑研霋餿謭78.6% 涸欽 欽APP 剪傞絈 靀勉靂告 APP 剪倰霃縨僑研霄勉涸欽蕘 72.1%罜剣 51.1% 涸欽幡椚荈 涸乼崹錢雵1923.9%20.2%19.3%24.9%23.1%18.6%16.5%17.9%24.2%22.7%19.4%23.8%21.8%15.6%24.1%26.6%16.5%12.7%16.7%21.1%15.1%11.6%12.7%鷐馰涸鷐鷐 劌痗欽寵涸剪 涸僑研欽蜦濼涸 倰剪/APP涸霃雦臘13.8%14.5%幡嘽 6.41%.0%6.1% 7.6%研濼蜦

18、勉僑研佐/欽倰欽涸僑研鵳遤 崞00908070劌纈馰鷐僽剒僒鄄欽濼涸僑欽 鸀嬙溏欽馰涸鷐僽剒僒鄄欽濼涸僑研欽鸀岤涸僽涸僑研欽蜦濼涸倰鷥 涸絆剒70 纈僑研佐/欽倰涸僑研欽崞剣劌歲劌纈涸僑研欽鸀劌棗姼80 90 纈僑研欽鸀涸雩濼劌帿雦 3% 涸霪纈霄罏雩鍒僑研佐倰僑研 涸欽鸀岤4. 絆 ANOVA 絕卓撐20 0.3% 3.7%19.2%53.4%23.4%捘傁 捘霄罏嬙%玐霹歲湱嬙猙蠒劼匬劌湱劼匬剣臘涸 僑研湱嬙猙蠒劼匬涸劼匬僑涸劌 76.8% 涸霄罏雩劼匬剣欽僑研涸劌胿皂剣紨 4% 涸霄罏導(dǎo)灇瑕務(wù)僑霄罏邍爙湱劼匬剣湱歲錞涸黽遤劌呔雩劼匬剣劌僈爍涸畎玐 紨勲僑研涸椚欽21剪劼匬佅剪78.9%6

19、4.3%56毫.3%劼匬52絡(luò).7%輑劼匬38鸑.5%鵘鱈劼匬鸑30.1%剪歏27.0%爢26.1%鸑雴晥 %僑研勉絛遤碫涸劼匬劌/ ?剪遤輑毫鸑鵘鱈遤剒 剣僈儑涸遤輑劼匬僽佅剪毫劼匬僽剒涸僑研佐/欽倰帿涸僽佅剪 涸蜦鷥鴪 64.3%罜絡(luò)輑劼匬罏 52.7%晥涸僑研玐剣俱剣 9.6% 涸霄罏涸僑研佐倰欨蕘爢鸑雴22毫爢雿欰崞剪錠剪歏侅肫緸絞渹 社程空絁佅輑椚餒傞鸑雴繠假康遤爢瀊錠康 倝餴雴X鯰勉僑涸玐Y鯰勉僑涸 劌僑勉絛輑碫 APP 勉叻劌僑研勉絛碫涸APP 蜦劌餘涸剪& 僑研勉絛碫涸APP 劌 佞瀃區(qū)欽碫APP 涸僑勉玐邂欽勉涸叻倰勻僽欽蜦劌餘剪涸僽欽 勉僑研涸玐欽絁佅碫 APP 輑椚餒碫

20、APP 涸勉玐儑爙遤涸 荝毫侅肫瘝碫涸 APP 遤劥痗臘欽勻欰崞涸歏爢遤宐剣僈儑導(dǎo)務(wù)歏劌僽 駟劌勉蜦餘剪遤務(wù)涸痦 妃霆欽勉僑研傞 僽涸叻23輑椚餒社程空欰崞剪緸絞渹康瀊錠侅肫繠倝餴雴400300200100000908070歏爢錠剪欽劌僑勉絛欰媯涸兞湱涸 APP涸僽& 劌僑研勉絛碫涸APP 蜦劌餘涸剪媯欽勉僑涸APP 碫 TGI 欽劌僑研勉絛欰媯涸兞湱涸APP 00 纈罜鎊康爢瀊錠瘝鰍涸APP 僽 勉僑研涸欽鵯湱酕涸傞翫翟劍涸 90 纈僑研勉絛繠瘝涸APP80 纈劌餤鵛欰崞剪傞鸑雴罜 70 纈絑岤佞毫假康遤倰岤5. TGI 湡叻纈僑=湡叻纈務(wù)剣厤暵涸纈嬙/務(wù)剣湱暵涸纈嬙 *1002412.3%

21、43.0%28.0%14.9%捘傁 1.9% 捘%玐霹歲剣涸僑研宐 霄罏嬙僑荈魧涸僑宐剣 贍搬僑霄罏僑研佐倰涸僑研勉僑研欽梠蒜毟贊告勱勻涸僑研梠剣駈涸55.3% 涸霄罏霪霹歲邍爙饎 剣 16.8% 涸導(dǎo)錛膚僑研梠涸僑字涸霋25嬙錜26罏.1% 絡(luò)雦暵嬙用32罏.8%絡(luò)雦暵嬙41罏.0%絡(luò)雦暵80 90 銳匬歑嬙湱 IT/翫緸輑遤罏劥猰剣 纈務(wù)佐剢佐 12000僑勻荈絁倝絁 僑錜霪纈僑研剒錠剒併罌贊碫僑研倶涸剣佪鵯倶劥魧僽歲嶍僑研欰 贊蜦剪涸帿剣 鰈罜僽映絊僑研涸岤 鄄鍘剣僑研湱涸歲歲錞碫 雩剣佪涸港盜僽霆僑研涸70 銳匬剣劌纈 90 纈 嬙殜銳館鳴佟 侅肫玐錜罏罏剢佐 8000 湱邂 僑錜霪纈

22、僑研涸錠玐鰍告 僑研涸併玐碫纈搬罜盜嚋僑研涸 欨鍒僑研剪倰饆 獤匧欽碫剪臘蜦劌涸剪遤溏 遤碫欽邍梡鰍涸95 纈嬙鰍歑嬙湱俒剪 侅肫猰灇遤罏劥猰絟 涸剢佐 10000 僑勻荈 倝絁絁僑錜霪纈僑研錠傞僑研 涸勉欽剣涸併獤匧欽臘 鸑鵂僑研蜦涸剪告姼牌錠僑 研涸涸僽雩獴霃涸 幷鷳涸僑研勻 鵯纈湱歲歲錞剒岤獤匧欽 碫剪涸傞勱勻涸僑研梠忘 僑錜歘 岤6. 纈歘碫嬙呏研靈灇僑研K-means 翸碫區(qū)寵 26031峯遤僑涸 靂From Insight to Action: Suggestions for Improving Personal Data SecurityPart03/83.0%74.0%51.8

23、%靆劌霪僑研餏餓僑佐/欽倰港盜劼匬僑僑佐/欽倰僽痦 餓僑研佐倰僽兜麑雩涸僑研銳餓倰靈灇務(wù)83% 涸霄罏僑研佐/欽倰鷥劌霪僑研餏餓涸歲港盜劼 匬 74% 涸嬙罜灇瑕絕卓儑爙霄罏雩荈魧僑研涸霢露勉鰍雽鄄鶖勉僑研涸黨麁霆僑研盜 椚歲勱倶遤雽嶍僑研涸勉餓薴剣鵳姿夠佦霄罏勱荈魧僑研涸銳餓倰2843.0%48.7%49.0%64.6%65.0%75.1%74.0%猙涸歲錜倗 劼匬呔僑研涸遤 荈 猙涸遤 絯遤佟劼匬僑 研涸錠 僑研涸盡歲劼匬僑研涸 用歲劼匬模涸僑研 歲霄罏鷥%勵銳稇涸尊僑研宐涸 蜒錛蜒儑僑佐倰港漛 呔荈滾務(wù)盜僑研佐/欽倰僑研餓偽傾餧告歲歲錞涸紨勲搬僽僑研宐涸呏彂傞65% 涸霄罏雩 字猙涸錜侮

24、爢涸僑研勻姻姼64.6% 涸霄罏雩劼匬邍涸僑研佐倰鵮呔涸遤 荈碫兞 試欽屧絶欽涸僑研29鷐嶊餩湱涸晥 虛鵛劍崹錢妃鰍涸 鷐僈爍邍爙馰佐詭涸鷐鍒告劅鍒涸鷐社程雵湱涸鷐剪欽涸湱 歲臘涸 APP 乼BETTERWORSE*孞岙 KANO 垷務(wù)涸 魅服務(wù)絯佖涸 APP 乼差異服務(wù)期望服務(wù)必備服務(wù)劼匬鵮僑勉涸炄溫姻寵涸剪 臘KANO 垷區(qū)欽勉劅蜦涸剪 紩撐 KANO 垷涸剪梡紩 欽遤僑研皾歲崵涸貓剪 絑忘駈欽寵涸剪 鵯滿傉欽偽歲蜦姼碫剪涸忘欽僑研勉絛剪倰 剒劅臘蜦涸臘剪灇 瑕鵮梡絯佖欽涸乼 鷐欽僈爍邍爙馰涸搬僽 臘緃涸椚欽欽勉涸僑研蘭臘溫遤勻 剪僽僑研欽涸剒絕卓 301011153128889899292023142932320500000001000000001500000002000000002500000002018.72018.82018.92018.102018.112018.122019.12019.22019.32019.42019.52019.62019.72019.82019.92019.102019.112019.122020.12020.22020.32020.42020.5妍350000000鰍傍欰佪涸 GDPR 僑研盜椚歲涸釁歲餥絑GDPR 釁妍湅涸歲霚宐媯 縇獤匧騨遤僑盜椚歲岤鵳蒜涸剣 靂港盜劼匬呋岤僑研盜椚歲鵳蒜涸剣鷓涸鷓 傞GDPR 釁涸縇僑饑縇縇僑勻彂務(wù)G