1. Pfungwa ye data masking
Data Masking inozivikanwa zvakare se data masking. Iyo nzira yehunyanzvi kushandura, shandura kana kuvhara data yakanyanya sefoni mbozha, nhamba yebhangi nhamba uye rumwe ruzivo kana tapa masking mitemo nemitemo. Iyi nzira inonyanya kushandiswa kudzivirira data rinotyisa kubva mukushandiswa zvakananga munzvimbo dzisina kuvimbika.
Data Masking Nheyo: Dhata Masking Inofanirwa Kuchengeta Iyo Yekutanga data maitiro, mitemo yebhizinesi, uye kukosha kwedata kuti uve nechokwadi chekutanga kwekutanga, kuongororwa, uye kuongororwa kwedata hakuzobatwi nekuvhara. Ita shuwa kuti data isimbe uye kusimbiswa isati yatanga uye mushure mekusvirwa.
2. Data Masking Kugadziriswa
Data Masking inogona kukamurwa muNatic data masking (SDM) uye Dynamic Data Masking (DDM).
Static data masking (SDM). DATATY DATA inobviswa kubva kuDhatabheti yekugadzira uye yakachengetwa mune isina-kugadzirwa database. Nenzira iyi, iyo data desensitized data iri kunze kwenzvimbo yekugadzira, iyo inosangana nezvido zvebhizinesi uye inovimbisa kuchengetedzwa kwedata rekugadzira.
Dynamic Data Masking (DDM): Inowanzo shandiswa munzvimbo yekugadzira yekudhiraivha yekushomeka data yakanangana nenguva chaiyo. Dzimwe nguva, matanho akasiyana easking anodikanwa kuti averenge iyo data imwechete yakaoma mumamiriro ezvinhu akasiyana. Semuenzaniso, mabasa akasiyana uye mvumo inogona kuita zvakasiyana masking zvirongwa.
Dhata rehudhi uye data zvigadzirwa masking application
Kuonekwa kwakadaro kunonyanya kusanganisira zvigadzirwa zvemukati zvekutarisa
3. Data Masking Solution
Zvakajairika Dhata Masking Zvirongwa zvinosanganisira: Zvisingaravire, Zvakare kukosha, Data Kutsiva, symmetric encryption, avhareji kukosha, offeset uye kutenderera uye etc.
Isiriyo. Ichi chirongwa chinowanzo kutsiva chaiyo data ine zvakakosha zviratidzo (senge *). Iko kuvhiya kuri nyore, asi vashandisi havagone kuziva chimiro cheiyo yekutanga data, iyo inogona kukanganisa inotevera data maficha.
Kukosha kwakasarudzika. Iyi nzira yekusvira ichave nechokwadi chemaitiro anotarisisa data kune imwe nhanho uye inofambisa inotevera data application application. Masking madimikira anogona kudikanwa kune mamwe mazwi ane chinangwa, senge mazita evanhu nenzvimbo.
Kutsiva data.
Symmetric encryption: Symmetric encryption inzira yakakosha yekudzosera masking. Iyo encrypts inovhara data kuburikidza nekiyi encryption uye algorithms. Iyo ciphertext fomati inoenderana neiyo yekutanga data mumitemo ine musoro.
Pakati: Avhareji chirongwa chinowanzoshandiswa mumamiriro ezvinhu ehuwandu. Kune data yehuwandu, isu tinotanga kuverenga zvazvinoreva, uyezve zvichiratidzirwa zvinoparidza tsika dzakasarudzika dzakatenderedza zvinoreva, nokudaro zvichengete huwandu hwe data nguva dzose.
Offset uye kutenderera: Iyi nzira inoshandura iyo dijitari data nekushanduka-shuwa. Iyo yekubvisa inotenderera inovimbisa huwandu hwechokwadi hwehuwandu hwenzvimbo uchichengetedza kuchengetedzeka kwe data, iri padyo neiyo data chaiyo kupfuura iyo yapfuura marongwa, uye ine kukosha kukuru mune mamiriro ekuongorora hombe data.
Kukurudzira Muenzaniso "ML-NPB-5660"Kune iyo data masking
4.
(1). Statistical Techniquees
Sampling Sampling uye Data Aggregation
- Data sampling: kuongorora uye kuongororwa kweiyo yekutanga data yakaiswa nekusarudza muimiriri we data seti ndiyo nzira yakakosha yekuvandudza kushanda kweiyo de-kuzivikanwa nzira.
- Kuunganidzwa kwedata: Semuunganidzwa wehuwandu hwehuwandu (sekusangana, kuverenga, kuwanda, zvakanyanyisa) zvinoshandiswa kune microdata, mhedzisiro yacho inomiririra zvinyorwa zvese mune yekutanga data set.
(2). Cryptography
CryPtography ndiyo nzira yakajairika yekushomeka kana kuwedzera kushanda kwekushamisika kwesensitiation. Mhando dzakasiyana dzekunyorera algorithms dzinogona kuwana dzakasiyana siyana desensitization mhedzisiro.
-Sarudza nzvimbo yekunyorera: isina-isina rushau symmetric encryption. Izvo zvinowanzo proces id data uye inogona kuderera uye kudzorera iyo ciphertext kune iyo yekutanga id kana zvichidikanwa, asi kiyi inoda kudzivirirwa zvakanaka.
- isingadzoreki encryption: Iyo hash basa inoshandiswa kugadzirisa data, iyo inowanzoshandiswa kune ID data. Iyo haigone kuve yakanatswa zvakananga uye hukama hunoputika hunofanira kuponeswa. Mukuwedzera, nekuda kwechinhu chehasha basa, kukohwa kwedata kunogona kuitika.
- Homomorphic encryption: Iyo ciphertext homomorphic algorithm inoshandiswa. Hunhu hwayo ndehwekuti mhedzisiro yeCiphertext kushanda yakafanana neiyo yekuvhiringidza kushanda mushure mekutora. Naizvozvo, zvinowanzoshandiswa kuita minda yemijini, asi haina kushandiswa zvakanyanya nekuda kwezvikonzero zvekuita.
(3). Sisitimu tekinoroji
Iyo yekudzvinyirira tekinoroji inodzora kana dziviriro data zvinhu zvisingasangane nekuchengetedzwa kwekuvanzika, asi hazviparidze.
- Masking: Inoreva iyo inonyanya kujairika desensifization nzira yekukoshesa kukosha kwehunhu, sekupikisa nhamba nhamba, ID kadhi yakanyorwa neasterisk, kana kero yacho inotorwa.
- Nzvimbo yemuno
- Rekodha Kudzvinyirira: Inoreva maitiro ekubvisa zvakanyoreswa zvinyorwa (mitsara), kudzima zvisiri-zvakakosha data zvinyorwa.
(4). Pseudonym tekinoroji
Pseuudomanning is a-chiratidzo nzira inoshandisa pseudonym kutsiva yakananga identifier (kana imwe chinonamira chinongedzo). Pseudominyan matekiniki anogadzira yakasarudzika identifiers kune yega yega ruzivo ruzivo chinyorwa, panzvimbo yekutungamira kana inocherechedzwa.
- Inogona kuburitsa zvisina kufanira tsika yekuzvimiririra kuti ienderane neiyo yekutanga ID, chengetedza tafura yemabhuru, uye kudzora zvakanyatso kudzora mukana wekupinda mubhavhua tafura.
- Iwe unogona zvakare kushandisa encryption kuburitsa pseudonyms, asi inoda kuchengeta iyo decryption kiyi nemazvo;
Iyi tekinoroji inoshandiswa zvakanyanya mune imwe nhamba yakakura yevashandisi ve data rakazvimirira, vakadai sePulock mune yakavhurika platform scenario, uko kusiyana kwakasiyana kunowana vhura yakasiyana yemushandisi mumwe chete.
(5). Generalization maitiro
Nhamba dzakawanda dzinoreva nzira yekuzivikanwa inoderedza iyo grancyity yehunhu hwakasarudzwa mune data seti uye inopa rondedzero yakawanda uye isinganzwisisike yedata. Generalization tekinoroji iri nyore kuita uye inogona kuchengetedza chokwadi chekodhi-chikamu data. Izvo zvinowanzoshandiswa mune zvigadzirwa zve data kana data mishumo.
- Kutenderera: Inosanganisira kusarudza chigadziko chinotenderera chehunhu hwakasarudzwa, hwakadai sekukwira kumusoro kana kudzika kwemafambiro zana, 500, 1k, uye 10k
- Pamusoro uye Pasi Pasi maitiro: Tsiva maitiro ari pamusoro (kana pazasi) chikumbaridzo chine chikumbaridzo chinomiririra iyo yepamusoro (kana pasi) mwero we "pamusoro x" kana "pazasi x"
(6). Nhungamiro dzirimo
Semhando yeiyo de-kuzivikanwa maitiro, tekinoroji tekinoroji inoreva kushandura kukosha kwehunhu kuburikidza nekusarudzika, kuitira kuti kukosha mushure mekusarudzika kwakasiyana nekutarisirwa chaiko kwakakosha. Kuita uku kunodzora kugona kwemurwi wekutora kukosha kwehunhu kubva kune imwe tsika mune imwe data rekodhi, asi inokanganisa chokwadi che data rakakonzerwa, iro rinozivikanwa ne data rekugadzira.
Kutumira Nguva: Sep-27-2022
