Homomorphic Encryption

Why - Data in Use Protection

Data must be protected during storage, transmission and use. 

Data leakage from attacks by hackers and insiders occurs continuously due to insufficient Data in Use Protection.

 


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HE Introduction  

HE is the most effective for Data in Use Protection, 

it is a technology that processes data while encrypted using various operations such as addition and multiplication. 

 

 


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History of HE

Since Homomorphic Encryption was first proposed in 2009, 

it has developed to the 4th generation homomorphic encryption algorithm CKKS through a lot of research, 

which can now perform operations on real numbers. 

 

Recently, various companies and research institutes are studying how to improve CKKS’s operation speed. 

 

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Standardization of HE

CryptoLab is taking a leading role in the international standardization of Fully Homomorphic Encryption (ISO/IEC18033-8) from 2020. 

It will include 2nd generation HE - BGV and BFV, 3rd generation HE - CGGI, and 4th generation HE - CKKS

 

Korea TTA established CKKS as a standard in 2019 (TTAK.KO-12.0347), and ISO standardization will be completed in 2024. 



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HE Use Cases

HE is advancing the era of Private AI by enabling data collaboration learning as well as training and inference while protecting privacy

 

Please refer to Success Stories for details.


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Challenges in HE and Excellence of CryptoLab

CryptoLab has a lot of know-how in speed, storage space and accuracy based on various experiences of application of HE. 

 

CryptoLab is the world's No.1 in this field. 

 

Contact us for more details. 

[E-Mail: cryptolab@cryptolab.co.kr]


Post Quantum Cryptography

Why - Challenges in Quantum Computing

Quantum computers are predicted to have overwhelming operation speed compared to conventional computers. 

Therefore, large investments are being made not only global IT companies such as Google but also US and China at the national level.

 

But there are not only good things. 

The rapid development of quantum computers may threaten the public key infrastructure (PKI), 

on which the current Internet technology is based.


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PQC Introduction

Post Quantum Cryptography (PQC) is a new cryptography which is secure against Quantum Computers. 

It refers to the publickey encryption, key exchange, and digital signature algorithms. 

 

HE is also quantum secure. 

 

 

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PQC Standardization

In the United States, the standard is being established by NIST and is expected to be completed in 2023. 

Several countries, including Europe and Japan, are also establishing their own standard. 

 

Korea has established CryptoLab's RLizard (Ring-Lizard) for key exchange and NIMS(National Institute of Mathematical Sciences)’s HiMQ for electronic signatures in TTA (Telecommunications Technology Association)

 

 

 

 

PQC Use Cases

PQC can be widely applied. 

PQC must be applied to PKI, https, and IPsec, which are the core of current Internet security. 

 

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Challenges in PQC and Excellence of CryptoLab

CryptoLab is preparing to integrate and apply PQC and actual services as well as developing PQC algorithms based on various PQC application experiences. 

 

Contact us for more details. 

[E-Mail:cryptolab@cryptolab.co.kr]

Thesis

Main Papers(Google Scholar Profile, dplp)

Video

Video

  • Lecture from Seoul National Unviersity, Department of Mathematical Science.

    Date
    2019.09.19
    Explanation
    Homomorphic Encryption, which provides the ability to compute on data while it is encrypted, was first proposed in 1978 and has been put to practical use in recent years of research. This lecture provides the concept of homomorphic encryption, recent research results and its application to machine learning.
    Link
  • SAMSUNG SDS REAL 2019 - KEYNOTE 2 (Key Technololgies in Digital Transformation)

    Date
    2019.05.08
    Explanation
    This video provides the development direction and characteristics of homomorphic encryption, and contents of cooperation with Samsung SDS
    Link
  • Introducing an evaluation model using encrypted credit information.

    Date
    2019.01.23
    Explanation
    At the seminar on Personal Identification Prevention Encryption Technology, Lee Wook-Jae, the director from the Korea Credit Bureau (KCB), presents the description of the homomorphic credit evaluation model using homomorphic encryption.
    Link
  • Seminar on Personal Identification Prevention Technology (Homomorphic Encryption Technology Trend and Demonstration)

    Date
    2019.01.22
    Explanation
    International standardization trends & Domestic and foreign use cases - Professor Jung Hee Cheon (Department of Mathematical Science, Seoul National University)
    Link
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