Fully Homomorphic Encryption (FHE) a Zamanin Quantum na Harkar Banki

Fully Homomorphic Encryption (FHE) ya yi alkawarin sake bayyana tsaron bayanai a cikin Banking da Masana'antar Kudi. Ta hanyar ba da damar gudanar da lissafi akan bayanan da aka ɓoye, FHE yana kiyaye sirri daga barazanar gargajiya da na quantum computing.

Gabatarwa

Aiwatar da FHE a cikin fannin kudi ba kawai a ka'ida yake ba; yana zama gaskiya ta zahiri, yana sauya ma'aunin tsaron bayanai da na sirri. Wannan labarin ya bincika amfanin a zahiri, damuwar tsarin dokoki, illolin da za a iya samu, da kuma ci gaban bincike na fully homomorphic encryption (FHE) a cikin Kudi da kuma aikace-aikacen Artificial Intelligence (AI).

Fahimtar Fully Homomorphic Encryption

Abubuwan Yau da Kullum na Ɓoye Bayanai (Encryption)

Ɓoye bayanai (encryption) wata hanya ce ta canza bayanan da za a iya karantawa (plaintext) zuwa tsarin da ba za a iya karantawa ba (ciphertext) ta amfani da wani algorithm da maɓallin ɓoyewa. Babban burin shi ne tabbatar da cewa kawai ɓangarorin da aka amince musu ne za su iya samun damar shiga ainihin bayanan ta hanyar buɗe bayanan da aka ɓoye (decrypting the ciphertext) ta amfani da maɓallin buɗewa (decryption key).

Hanyoyin Ɓoye Bayanai na Gargajiya

Hanyoyin ɓoye bayanai na gargajiya za a iya kasasu kusan gida biyu: symmetric da asymmetric encryption. Symmetric encryption yana amfani da maɓalli guda ɗaya don ɓoyewa da buɗewa. Wannan inganci yana zuwa ne da tsadar tsaro, musamman lokacin da rarraba maɓalli ke fuskantar ƙalubale. Asymmetric encryption, wanda kuma ake kira public-key cryptography, yana amfani da maɓallai guda biyu, ɗaya don ɓoyewa guda ɗaya kuma don buɗewa. Wannan hanyar ta fi tsaro amma tana da tafiyar hawainiya idan aka kwatanta da symmetric encryption.

Iyakokin Ɓoye Bayanai na Yau da Kullum don Gudanar da Lissafi (Computation)

Kodayake hanyoyin ɓoye bayanai na gargajiya suna kiyaye bayanai yadda ya kamata lokacin da suke ajiye (data at rest) ko lokacin da ake tura su (data in transit), ba su da amfani sosai lokacin da ake son gudanar da lissafi (computations) akan bayanan da aka ɓoye. A yawancin lokuta, don sarrafawa ko bincika bayanan da aka ɓoye, dole ne mutum ya fara buɗe su (decrypt), ya yi ayyukan da ake buƙata, sannan ya sake ɓoye su. Wannan matakin buɗe bayanan yana haifar da babban haɗari ga sirrin bayanai, musamman a cikin yanayin da ba a amince da shi ba ko na cloud computing.

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Gagarumin Ci Gaban Homomorphic Encryption

Homomorphic encryption (HE) yana magance iyakokin da ke tattare da ɓoye bayanai na yau da kullum. Yana ba da damar yin wasu lissafi kai tsaye akan bayanan da aka ɓoye (ciphertexts). Sakamakon da aka buɗe bayan lissafin yana zama daidai da ainihin bayanan (plaintext) bayan an yi musu irin waɗannan ayyukan. HE yana zuwa ne a manyan nau'ikansu guda uku: Partially Homomorphic Encryption (PHE), Somewhat Homomorphic Encryption (SHE), da kuma Fully Homomorphic Encryption (FHE).

• Partially Homomorphic Encryption (PHE): Yana tallafawa ayyukan da ba su da iyaka na nau'i guda ɗaya (misali, ko dai tara ko ninka) akan ciphertexts.
• Somewhat Homomorphic Encryption (SHE): Yana tallafawa iyakar adadin ayyuka, yana haɗa duka tara da ninka, amma har zuwa wani mataki kawai.
• Fully Homomorphic Encryption (FHE): Shi ne mafi ci gaba, yana ba da damar ayyukan da ba su da iyaka na duka tara da ninka akan ciphertexts.

Fasahar Waje na FHE

FHE yana dogara ne akan hadaddun tsarin lissafi, kamar lattice-based cryptography. Lattice-based cryptography wani nau'i ne na ɓoye bayanai wanda ke amfani da tsarin lissafi da ake kira lattices.

Lattice tsari ne na yau da kullum na ɗigo a cikin sarari, kuma lattice-based cryptography ya dogara ne akan wahalar magance wasu matsalolin lissafi da ke da alaƙa da waɗannan tsarin. Wannan yana sa lattice-based cryptography ya zama mai tsaro da juriya ga hare-hare, har ma da waɗanda ke fitowa daga quantum computers.

A shekarar 2009, Craig Gentry ya ɓullo da wata hanya, wadda aka bayyana a cikin takardar bincikensa A Fully Homomorphic Encryption Scheme ⧉, don ƙirƙirar tsarin da zai iya gudanar da homomorphic evaluation na nasa decryption circuit. Wannan tsari na kai tsaye (self-referential design) yana ba da damar tsarin FHE su gudanar da lissafin da ake so akan bayanan da aka ɓoye.

Tsarin FHE Algorithm

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Hoton da ke sama yana kwatanta tafiyar aiki ta Fully Homomorphic Encryption (FHE) algorithm.

• Tsarin ɓoyewa (encryption process) yana farawa ne da bayanan plaintext, wanda aka ɓoye ta amfani da maɓallin ɓoyewa don samar da ciphertext.

• Sannan waɗannan bayanan da aka ɓoye za su iya fuskantar lissafi daban-daban kai tsaye akan ciphertext ta hanyar wani tsari da ake kira bootstrapping.

• Wannan keɓaɓɓen ƙarfin na FHE yana ba da damar bayanai su kasance a ɓoye a duk tsawon aikin. Da zaran an gama gudanar da ayyukan da ake buƙata, tsarin buɗewa (decryption process) zai iya canza modified ciphertext ɗin komawa zuwa plaintext ta amfani da tsarin FHE.

Babban fa'idar FHE tana cikin ikonsa na yin lissafi akan ciphertext ba tare da buƙatar buɗe shi ba, ta haka za a tabbatar da cewa an kiyaye sirrin bayanai da tsaro a duk tsawon aikin lissafin.

Juriyar Quantum ta FHE

Hanyoyin ɓoye bayanai na gargajiya galibi suna da rauni ga quantum algorithms. Waɗannan algorithms ɗin suna iya saurin magance matsaloli kamar su integer factorisation da kuma discrete logarithms, waɗanda ke zama ginshikin waɗannan hanyoyin ɓoye bayanai. Sabanin haka, Fully Homomorphic Encryption (FHE) yana amfani da matsalolin lattice-based waɗanda aka yi imanin suna da wuyar magancewa ga quantum computers. Wannan juriyar quantum tana sa FHE ya zama hanyar ɓoye bayanai mai kyau don zamanin post-quantum.

Lattice-based FHE yana da juriya ga hare-haren quantum saboda matsalolin lissafi da ke ƙasa, kamar su Shortest Vector Problem (SVP) da kuma Closest Vector Problem (CVP), ana ɗaukarsu da wuyar magancewa ko da ga quantum computers ne. Yayin da quantum algorithms kamar Shor's algorithm za su iya karya hanyoyin ɓoye bayanai na gargajiya da suka dogara da factoring manyan lambobi ko lissafin discrete logarithms, ba a san su da samar da fa'idodi masu mahimmanci wajen magance matsalolin lattice-based ba. Wannan siffa tana sa lattice-based FHE ya zama ɗan takara mai kyau don post-quantum cryptography.

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Tasirin FHE akan Banking da Kudi

Ingantaccen Sirrin Bayanai da Tsaro

Aiwatar da FHE a fannin kudi ya yi alkawarin inganta sirrin bayanai sosai. Banks yanzu za su iya gudanar da kimanta haɗari (risk assessments), gano zamba (fraud detection), da kuma cikakken nazarin bayanai (comprehensive data analytics) yayin da suke tabbatar da cikakken sirrin bayanan abokan ciniki. Wannan ci gaban fasaha yana rage haɗarin satar bayanai (data breaches), yana ƙarfafa amincin dandalin digital banking da ma'amalar kudi.

Cloud Computing da Ayyukan Waje (Outsourcing)

Wani babban yanki na aikace-aimace don homomorphic encryption shi ne sarrafa bayanai cikin aminci a cikin cloud. Banks za su iya amfani da sabis na cloud computing don sarrafa bayanan da aka ɓoye ba tare da yin lahani ga sirrin bayanai ba. Wannan yana bawa cibiyoyin kudi damar amfani da scalability da sauƙin tsada na cloud computing yayin da suke kiyaye sirrin bayanan kudi masu mahimmanci.

Sauyin da ake samu zuwa cloud computing da fitar da ayyukan lissafi zuwa waje (outsourcing of computational tasks) ta bankuna yana ƙara jaddada mahimmancin FHE. Tare da amintaccen cloud computing, cibiyoyin kudi za su iya amfana da albarkatun waje yayin da suke kare bayanan da aka ɓoye masu mahimmanci ta hanyar Fully Homomorphic Encryption (FHE). FHE yana ba da damar bankuna su yi amfani da sabis na cloud computing cikin aminci yayin da suke tabbatar da cewa bayanan da aka ɓoye masu mahimmanci sun kasance cikin kariya a kowane lokaci.

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Shiryawa don Makomar Quantum

Zuwan quantum computing na kusa yana nuna yiwuwar rikici ga hanyoyin ɓoye bayanai na gargajiya. Lattice-based FHE a zahiri yana da juriya ga hare-haren quantum, yana ba da kariya mai ƙarfi ga barazanar da quantum computing ke haifarwa ga tsaron bayanai.

Ɓoye Bayanai Mai Juriya da Quantum (Quantum-Resistant Encryption)

FHE yana ba da kariya mai ƙarfi sosai daga barazanar quantum computing. Ta hanyar amfani da dabarun lattice-based cryptographic, FHE yana tabbatar da cewa bayanan kudi da kadarori sun kasance cikin aminci koda a gaban abokan gaba na quantum (quantum adversaries).

Juriyar quantum ta FHE tana faruwa ne saboda hadaddun matsalolin lissafi da ke ƙasa kamar Shortest Vector Problem (SVP) da kuma Closest Vector Problem (CVP). An yi imanin waɗannan matsalolin ba za a iya warware su ba ko da ta quantum computers, wanda hakan ya sa lattice-based FHE ya zama mafi dacewa don post-quantum cryptography.

Yin amfani da quantum-resistant encryption, kamar FHE, yana da mahimmanci ba kawai don kare kadarorin kudi ba har ma don kiyaye amincin abokan ciniki a zamanin dijital. Yayin da quantum computing ke ci gaba, cibiyoyin kudi da ke ba da fifiko ga ingantaccen ɓoye bayanai za su kasance cikin shiri mafi kyau don fuskantar ƙalubale da damammaki na gaba.

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Makomar FHE a cikin Banking da Kudi

Hanyar ci gaban FHE a cikin fannin kudi tana da kyau, amma har yanzu tana fuskantar ƙalubale. Masana'antar banking za ta iya amfana da cikakken ƙarfin FHE ta hanyar haɓaka fasaha, shigar da ita cikin ayyukan kudi na yau da kullum, da kuma ba da haɗin kai tare da regulators.

Ana iya amfani da FHE a fannoni daban-daban na banking da kudi, kamar:

• Secure Financial Data Analysis: FHE yana ba bankuna damar bincika bayanan kudi da aka ɓoye, kamar ma'amala (transactions), bayanan kiredit (credit scores), da jarin kuɗi (investment portfolios), ba tare da yin lahani ga sirrin abokin ciniki ba, yana tabbatar da ingantaccen sarrafa bayanai masu mahimmanci.

• Privacy-Preserving Machine Learning: FHE yana ba bankuna damar horarwa da kuma tura samfuran machine learning akan bayanan da aka ɓoye, wanda hakan zai ba su damar amfani da AI don gano zamba, kimanta haɗari, da rarraba abokan ciniki (customer segmentation) yayin kiyaye sirrin bayanai.

• Secure Multi-Party Computation: FHE yana ba da damar haɗin gwiwa mai aminci tsakanin cibiyoyin kudi da yawa, yana ba su damar gudanar da lissafin haɗin gwiwa akan bayanan da aka ɓoye ba tare da raba bayanai masu mahimmanci ba, wanda ke sauƙaƙe ma'amalar banki da yarda (compliance) cikin aminci.

• API Security: FHE na iya kare APIs ta hanyar ɓoye bayanai masu mahimmanci kafin a watsa su, yana tabbatar da cewa bayanan abokan ciniki sun kasance a asirce yayin musayar bayanai tsakanin bankuna da sabis na ɓangare na uku.

• Secure Cloud Computing: FHE yana bawa bankuna damar tura lissafi da ajiyar bayanai cikin aminci zuwa dandalin cloud ba tare da yin lahani ga sirrin bayanai ba, tunda bayanan suna kasancewa a ɓoye a duk tsawon aikin, wanda ke faɗaɗa amfani da sabis na cloud mai sauƙin tsada da inganci.

• Privacy-Preserving Regulatory Compliance: FHE yana bawa bankuna damar raba bayanan da aka ɓoye cikin aminci tare da hukumomin tsarin dokoki (regulatory authorities), wanda ke ba da damar bin buƙatun bayar da rahoto ba tare da fallasa bayanan abokan ciniki masu mahimmanci ba, yana sauƙaƙe tsarin yarda yayin kiyaye sirri.

Waɗannan aikace-aikacen suna bayyana ikon sauyi na FHE a cikin Banking da Masana'antar Kudi kuma suna jaddada yuwuwarsa na kawo sauyi ga ma'aunin tsaron bayanai da sirri.

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Shawo kan ƙalubale wajen Ayyukan FHE

Kalubalen Aiki da Ingantawa (Optimisation)

Magance nauyin lissafi (computational overhead) da ke tattare da FHE ya kasance babban ƙalubale. Ci gaban baya-bayan nan wajen inganta algorithms da haɓaka kayan aikin hardware accelerators na musamman yana rage tazarar aiki tsakanin lissafi na gargajiya da fully homomorphic encryption (FHE).

Daidaitawa (Standardisation) da Haɗin Gwiwa

Hanyar samun babban yarda da FHE ya dogara ne akan daidaita yarjejeniyoyin aiki (standardisation of protocols) da kuma ƙarfafa haɗin gwiwa tsakanin masu ruwa da tsaki a tsarin kudi. Haɗin kai don rungumar FHE na iya haɓaka shigarta cikin manyan sabis na kudi.

Tsarin Doka da Yarda (Regulation and Compliance)

Hukumomin tsarin dokoki (regulatory bodies) suna taka rawar gani sosai wajen amincewa da FHE, tare da dokokin sirrin bayanai masu tasowa suna ba da umarnin amfani da ita. Wani yunƙuri na tsarin doka zai iya zama silar cikakken amincewa da FHE a cikin Banking da Masana'antar Kudi yayin da ake tabbatar da bin ka'idojin kariyar bayanai.

Tsarin dokoki da ke kewaye da sirrin bayanai da tsaro yana taka muhimmiyar rawa wajen karɓar FHE a cikin masana'antar banking. Tsauraran dokoki kamar su General Data Protection Regulation (GDPR) da kuma California Consumer Privacy Act (CCPA) suna ba da umarnin ƙwaƙƙwaran matakan kare bayanai kuma suna jaddada haƙƙin sirri na kowane mutum. FHE, tare da ikonta na sarrafa bayanan da aka ɓoye ba tare da buɗewa ba, ya yi daidai da mayar da hankali kan sirri na waɗannan dokoki. Yayin da dokokin sirrin bayanai ke ƙara tsananta, FHE tana ba da mafita mai gamsarwa wacce ke ba bankuna damar yin lissafi da bincike na yau da kullum yayin da suke bin buƙatun yarda (compliance requirements).

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Kare Large Language Models tare da Fully Homomorphic Encryption (FHE)

Large Language Models (LLMs) kayan aikin AI ne masu ƙarfi. Amma amfani da su yana haifar da damuwa game da sirri, musamman lokacin da ake mu'amala da bayanan masu amfani masu mahimmanci. Fully Homomorphic Encryption (FHE) yana ba da mafita wacce ke kare sirrin mai amfani da kuma kiyaye mallakin fasaha (intellectual property) na masu mallakar samfuri ta hanyar ba da damar lissafi akan bayanan da aka ɓoye.

Kalubalen Sirri tare da LLMs

Tura wani on-premise LLM don kiyaye sirrin bayanai yana haifar da ƙalubale kamar tsadar kuɗi da yuwuwar fallasa mallakin fasaha mai daraja. FHE yana magance waɗannan ƙalubalen ta hynar barin LLMs su yi aiki akan bayanan masu amfani da aka ɓoye, yana tabbatar da sirri da tsaron samfuri a lokaci guda.

Hanyar Encrypted LLM ta Zama

Zama ⧉, wani kamfanin fasaha na sirri (privacy tech company), ya nuna yuwuwar gina samfurin encrypted LLM ta amfani da FHE. Hanyarsu, wacce ke haɗa FHE da sauran fasahohin inganta sirri, tana samun aiki mai kama da samfuran da ba a ɓoye ba tare da ɗan ƙaramin ƙari na nauyin lissafi (computational overhead).

Inganta Sirrin Mai Amfani tare da Encrypted LLMs

Shigar da FHE a cikin LLMs yana da yuwuwar sauya sirrin mai amfani, musamman a aikace-aikacen da ke hulɗa da keɓaɓɓun bayanai na sirri ko na kasuwanci. Yayin da AI ke ƙara mayar da hankali kan sirri, yana da mahimmanci ga masu haɓakawa (developers), masu amfani, da regulators su yi aiki tare. Wannan haɗin gwiwar ita ce mabuɗin gina tsarin AI (AI ecosystem) wanda ke sanya tsaro da sirri a gaba.

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Kammalawa

Fully Homomorphic Encryption (FHE) wata fasaha ce ta tsaron bayanai mai sauya fasali wacce ke ba da keɓaɓɓen sirri da tsaro don Banking da Masana'antar Kudi.

Yayin da quantum computing ke ci gaba, FHE na ƙara zama mai mahimmanci. Karɓarta zai sake fasalin cybersecurity a cikin ayyukan kudi, yana sa digital banking ya kasance mai aminci da tsaro a cikin duniyarmu da ke ƙara haɗuwa.

Zuwan FHE kuma ya buɗe sabbin damammaki don amintaccen amfani da sirri na Large Language Models. Ta hanyar ba da damar encrypted LLMs, FHE yana tabbatar da cewa bayanan mai amfani sun kasance na sirri yayin da ake amfana daga ci gaban capabilities na waɗannan samfuran.

Zamanin Quantum Computing yana gabatowa. Dole ne bankuna su yi nazari da wuri akan tsarin ɓoye bayanai na su (encryption infrastructure), su gano wuraren da ke da rauni, kuma su haɓaka ingantacciyar opera don amincewa da FHE don kare bayanai da kiyaye amincin abokan ciniki.

Wanda aka bita na ƙarshe a 2026-06-23.

Bita ta ƙarshe 2026-07-06.

# Fully Homomorphic Encryption (FHE) a Zamanin Quantum na Harkar Banki — Sebastien Rousseau

> Originally published at [https://sebastienrousseau.com/ha/2024-03-25-fully-homomorphic-encryption-in-a-banking-quantum-era/](https://sebastienrousseau.com/ha/2024-03-25-fully-homomorphic-encryption-in-a-banking-quantum-era/)

Bincike yadda Fully Homomorphic Encryption ke juya tsaron bayanai a Banking da Masana'antar Kudi, tare da tabbatar da sirri daga barazanar quantum computing.

Read the full article on sebastienrousseau.com: https://sebastienrousseau.com/ha/2024-03-25-fully-homomorphic-encryption-in-a-banking-quantum-era/

Fully Homomorphic Encryption (FHE) a Zamanin Quantum na Harkar Banki — Sebastien Rousseau

Bincike yadda Fully Homomorphic Encryption ke juya tsaron bayanai a Banking da Masana'antar Kudi, tare da tabbatar da sirri daga barazanar quantum computing.

https://sebastienrousseau.com/ha/2024-03-25-fully-homomorphic-encryption-in-a-banking-quantum-era/

Fully Homomorphic Encryption (FHE) a Zamanin Quantum na Harkar Banki — Sebastien Rousseau

Bincike yadda Fully Homomorphic Encryption ke juya tsaron bayanai a Banking da Masana'antar Kudi, tare da tabbatar da sirri daga barazanar quantum computing.

Ga abubuwan da ya kamata a lura da su na dabarun:

- Gabatarwa. Aiwatar da FHE a cikin fannin kudi ba kawai a ka'ida yake ba; yana zama gaskiya ta zahiri, yana sauya ma'aunin tsaron bayanai da na sirri.
- Fahimtar Fully Homomorphic Encryption. Ɓoye bayanai (encryption) wata hanya ce ta canza bayanan da za a iya karantawa (plaintext) zuwa tsarin da ba za a iya karantawa ba (ciphertext) ta amfani da wani algorithm da maɓallin ɓoyewa.
- Gagarumin Ci Gaban Homomorphic Encryption. Homomorphic encryption (HE) yana magance iyakokin da ke tattare da ɓoye bayanai na yau da kullum.
- Tasirin FHE akan Banking da Kudi. Aiwatar da FHE a fannin kudi ya yi alkawarin inganta sirrin bayanai sosai.

Menene hanyar ƙungiyar ku wajen magance ƙalubalen da aka kawo a wannan rubuce-rubucen?

→ https://sebastienrousseau.com/ha/2024-03-25-fully-homomorphic-encryption-in-a-banking-quantum-era/

#FullyHomomorphicEncryption #TsaronBanking #QuantumComputing #ƁoyeBayanaiNaKudi #FheCaseStudies

Sebastien Rousseau | CC-BY-4.0

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  author  = {Rousseau, Sebastien},
  title   = {{Fully Homomorphic Encryption (FHE) a Zamanin Quantum na Harkar Banki — Sebastien Rousseau}},
  year    = {2024},
  url     = {https://sebastienrousseau.com/ha/2024-03-25-fully-homomorphic-encryption-in-a-banking-quantum-era/},
  urldate = {2024}
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Rousseau S. Fully Homomorphic Encryption (FHE) a Zamanin Quantum na Harkar Banki — Sebastien Rousseau. sebastienrousseau.com. 2024 Mar 25. Available from: https://sebastienrousseau.com/ha/2024-03-25-fully-homomorphic-encryption-in-a-banking-quantum-era/

Rousseau, Sebastien. "Fully Homomorphic Encryption (FHE) a Zamanin Quantum na Harkar Banki — Sebastien Rousseau." sebastienrousseau.com. March 25, 2024. https://sebastienrousseau.com/ha/2024-03-25-fully-homomorphic-encryption-in-a-banking-quantum-era/.

Rousseau, S. (2024, March 25). Fully Homomorphic Encryption (FHE) a Zamanin Quantum na Harkar Banki — Sebastien Rousseau. sebastienrousseau.com. https://sebastienrousseau.com/ha/2024-03-25-fully-homomorphic-encryption-in-a-banking-quantum-era/

Fully Homomorphic Encryption (FHE) a Zamanin Quantum na Harkar Banki — Sebastien Rousseau

Bincike yadda Fully Homomorphic Encryption ke juya tsaron bayanai a Banking da Masana'antar Kudi, tare da tabbatar da sirri daga barazanar quantum computing.

Originally published at https://sebastienrousseau.com/ha/2024-03-25-fully-homomorphic-encryption-in-a-banking-quantum-era/ by Sebastien Rousseau.
Licensed under CC-BY-4.0.

SEBASTIEN ROUSSEAU · FOUNDER · ENGINEER