1. Echiche nke Data Masking
A na-akpọkwa ihe nkpuchi data dị ka ihe nkpuchi data. Ọ bụ usoro teknụzụ iji tọghata, gbanwee ma ọ bụ kpuchie data nwere mmetụta dị ka nọmba ekwentị mkpanaaka, nọmba kaadị akụ na ozi ndị ọzọ mgbe anyị nyere iwu na iwu mkpuchi. A na-eji usoro a eme ihe n'ụzọ bụ isi iji gbochie iji data nwere mmetụta ozugbo na gburugburu ebe a na-apụghị ịdabere na ya.
Ụkpụrụ nkpuchi data: Ikpuchi data kwesịrị idowe njirimara data mbụ, iwu azụmahịa, yana mkpa data iji hụ na nkpuchi agaghị emetụta mmepe, nnwale na nyocha data na-esote. Gbaa mbọ hụ na data na-agbanwe agbanwe na nkwado tupu na mgbe emechara.
2. Data Masking nhazi ọkwa
Enwere ike ikewa ihe nkpuchi data n'ime static data masking (SDM) na dynamic data masking (DDM).
Ihe mkpuchi data static (SDM): Mkpuchi data static chọrọ ka e guzobe nchekwa data gburugburu anaghị emepụta ihe maka ikewapụ na gburugburu mmepụta. A na-ewepụta data nwere mmetụta na nchekwa data mmepụta wee chekwaa ya na nchekwa data anaghị emepụta. N'ụzọ dị otú a, data desensitized dịpụrụ adịpụ site na mmepụta gburugburu ebe obibi, nke na-egbo mkpa azụmahịa ma hụ na nchekwa nke data mmepụta ihe.
Ihe nkpuchi data dị omimi (DDM): A na-ejikarị ya eme ihe na mpaghara mmepụta iji desensitize data nwere mmetụta ozugbo. Mgbe ụfọdụ, a chọrọ ọkwa dị iche iche nke masking iji gụọ otu data nwere mmetụta na ọnọdụ dị iche iche. Dịka ọmụmaatụ, ọrụ dị iche iche na ikike nwere ike mejuputa atụmatụ nkpuchi dị iche iche.
Mkpesa data na ngwa nkpuchi data ngwaahịa
Ọnọdụ ndị dị otú ahụ gụnyere tumadi ngwaahịa nlekota data n'ime ma ọ bụ bọọdụ mgbasa ozi, ngwaahịa data ọrụ mpụga, yana akụkọ dabere na nyocha data, dị ka akụkọ azụmahịa na nyocha ọrụ.
3. Data Masking Solution
Atụmatụ nkpuchi data a na-ahụkarị gụnyere: mmebi iwu, uru enweghị usoro, nnọchi data, izo ya ezo, nkezi uru, nkwụghachi na ịgbachi, wdg.
Nwepu: Mmebi na-ezo aka na nzuzo, mkpọpu, ma ọ bụ izobe data nwere mmetụta. Atụmatụ a na-ejikarị akara ngosi pụrụ iche dochie ezigbo data (dịka *). Ọrụ ahụ dị mfe, mana ndị ọrụ enweghị ike ịma usoro nke data mbụ, nke nwere ike imetụta ngwa data na-esote.
Bara uru: The random uru na-ezo aka random nnọchi nke mmetụta uche data (ọnụọgụ dochie digits, mkpụrụedemede dochie mkpụrụedemede, na mkpụrụedemede dochie mkpụrụedemede). Usoro nkpuchi a ga-eme ka usoro data dị nro ruo n'ókè ụfọdụ ma kwado ngwa data na-esote. Enwere ike ịchọrọ akwụkwọ ọkọwa okwu nkpuchi maka ụfọdụ okwu bara uru, dị ka aha ndị mmadụ na ebe.
Ndochi data: Ndochi data yiri nkpuchi nke efu na ụkpụrụ enweghị usoro, belụsọ na kama iji mkpụrụedemede pụrụ iche ma ọ bụ ụkpụrụ enweghị usoro, a na-eji otu uru dochie data masking.
Ihe nzuzo Symmetric: Symmetric izo ya ezo bụ usoro nkpuchi pụrụ iche enwere ike ịtụgharịghachi. Ọ na-ezochi data nwere mmetụta site na igodo ezoro ezo na algọridim. Ụdị ciphertext dabara na data izizi na iwu ezi uche dị na ya.
Nkezi: A na-ejikarị atụmatụ nkezi eme ihe na ọnọdụ ndekọ ọnụ ọgụgụ. Maka ọnụọgụ ọnụọgụgụ, anyị na-ebu ụzọ gbakọọ ihe ha pụtara, wee kesaa ụkpụrụ enweghị usoro n'usoro, si otú a na-edobe nchikota nke data mgbe niile.
Offset na okirikiri: Usoro a na-agbanwe data dijitalụ site na ngbanwe na-enweghị usoro. Mkpokọta mmechi ahụ na-eme ka o doo anya na ịdị adị nke oke ahụ ka ọ na-echekwa nchekwa nke data ahụ, nke dị nso na ezigbo data karịa atụmatụ ndị gara aga, ma nwee nnukwu uru na ọnọdụ nke nnukwu nchịkọta data.
Ụdị akwadoro"ML-NPB-5660" maka data Masking
4. Usoro nkpuchi data a na-ejikarị
(1). Usoro mgbakọ na mwepụ
Nchịkọta data na nchịkọta data
- Nlereanya data: Nyocha na nyocha nke data mbụ setịpụrụ site na ịhọrọ onye nnọchite anya nke nhazi data bụ ụzọ dị mkpa iji melite arụmọrụ nke usoro de-identification.
- Nchịkọta data: Dị ka nchịkọta nke usoro nchịkọta akụkọ (dị ka nchịkọta, ọnụ ọgụgụ, nkezi, kacha na kacha nta) etinyere na njirimara na microdata, nsonaazụ ya bụ nnọchiteanya nke ndekọ niile na nhazi data mbụ.
(2). Cryptography
Cryptography bụ usoro a na-ahụkarị iji mebie ma ọ bụ kwalite ịdị irè nke enweghị uche. Ụdị ezoro ezo algọridim dị iche iche nwere ike nweta dị iche iche desensitization mmetụta.
- Mkpebi ezoro ezo: Ihe nzuzo nzuzo na-abụghị nke enweghị usoro. Ọ na-ahazi data ID ma nwee ike decrypt na weghachite ciphertext na ID mbụ mgbe ọ dị mkpa, mana igodo kwesịrị ka echekwa ya nke ọma.
- Ihe nzuzo a na-apụghị ịgbagha agbagha: A na-eji ọrụ hash hazie data, nke a na-ejikarị maka data ID. Enweghị ike igbanwe ya ozugbo yana mmekọrịta nke eserese ahụ ga-echekwarịrị. Na mgbakwunye, n'ihi njirimara nke ọrụ hash, ndakọrịta data nwere ike ime.
- Homomorphic encryption: A na-eji ciphertext homomorphic algọridim. Ihe e ji mara ya bụ na nsonaazụ ciphertext bụ otu ihe ahụ nke arụ ọrụ ederede doro anya mgbe emechara ya. Ya mere, a na-ejikarị ya ahazi mpaghara ọnụọgụgụ, mana anaghị eji ya eme ihe maka ebumnuche arụmọrụ.
(3). Teknụzụ sistemụ
Teknụzụ mkpochapụ na-ehichapụ ma ọ bụ chebe ihe data na-ezuteghị nchedo nzuzo, mana anaghị ebipụta ya.
- Masking: ọ na-ezo aka na usoro enweghị mmasị na-emekarị iji kpuchie uru njirimara, dị ka nọmba onye mmegide, kaadị ID ka ejiri akara akara akara, ma ọ bụ adresị adresị ahụ.
- Mbelata mpaghara: na-ezo aka na usoro ihichapụ ụkpụrụ njirimara (ogidi), wepụ ubi data na-adịghị mkpa;
- Mbelata ndekọ: na-ezo aka na usoro nke ihichapụ ihe ndekọ (ahịrị), ihichapụ ndekọ data na-adịghị mkpa.
(4). Teknụzụ pseudonym
Pseudomanning bụ usoro ntọhapụ nke na-eji pseudonym dochie ihe nchọpụta ozugbo (ma ọ bụ ihe nchọpụta ndị ọzọ nwere mmetụta). Usoro pseudonym na-emepụta ihe nchọpụta pụrụ iche maka isiokwu ozi nke ọ bụla, kama ịchọpụta kpọmkwem ma ọ bụ nke nwere mmetụta.
- Ọ nwere ike iwepụta ụkpụrụ na-enweghị usoro iji kwekọọ na ID mbụ, chekwaa tebụl eserese, wee jikwaa ohere ịnweta tebụl eserese.
- Ị nwekwara ike iji ezoro ezo iji mepụta pseudonyms, mana ọ dị mkpa idobe igodo decryption nke ọma;
A na-eji teknụzụ a eme ihe n'ọtụtụ ebe n'ihe banyere ọnụ ọgụgụ buru ibu nke ndị ọrụ data nọọrọ onwe ha, dị ka OpenID na ọnọdụ ikpo okwu mepere emepe, ebe ndị nrụpụta dị iche iche na-enweta Openids dị iche iche maka otu onye ọrụ.
(5). Usoro mkpokọta
Usoro nchikota na-ezo aka na usoro de-identification nke na-ebelata granularity nke àgwà ahọpụtara na nhazi data ma na-enye nkọwa zuru oke na nke nkịtị nke data ahụ. Nkà na ụzụ mkpokọta dị mfe iji mejuputa ma nwee ike ichekwa izi ezi nke data ọkwa ndekọ. A na-ejikarị ya na ngwaahịa data ma ọ bụ akụkọ data.
- Gburugburu: gụnyere ịhọrọ ntọala okirikiri maka njirimara ahọpụtara, dị ka nyocha elu ma ọ bụ ala, na-arụpụta nsonaazụ 100, 500, 1K na 10K.
- Usoro nzuzo nke elu na nke ala: Dochie ụkpụrụ dị n'elu (ma ọ bụ n'okpuru) ọnụ ụzọ na-anọchi anya ọkwa elu (ma ọ bụ ala), na-arụpụta nsonaazụ "n'elu X" ma ọ bụ "n'okpuru X"
(6). Usoro randomization
Dị ka a ụdị de-identification Usoro, randomization technology na-ezo aka ịgbanwe uru nke àgwà site randomization, nke mere na uru mgbe randomization dị iche na mbụ ezigbo uru. Usoro a na-ebelata ikike nke onye na-awakpo iji nweta uru njirimara site na njirimara njirimara ndị ọzọ n'otu ndekọ data ahụ, mana ọ na-emetụta eziokwu nke data na-esi na ya pụta, bụ nke a na-ahụkarị na data nyocha mmepụta.
Oge nzipu: Sep-27-2022
