연구 내용 소개
암호 기술 기반 정보보호 연구/개발을 진행합니다.







Design and Implementation of Module-NTRU-based Public-key Encryption with Keyword Search (PEKS) 

  • 연구년도 : 2020
  • Keywords: PEKS, applied cryptography, mobile security, information system
  • As the era of commercialization of quantum computers approaches, many kinds of researches are underway about encryption algorithms that are secure from quantum computer attacks.
  • No method has been proposed for the Public-Key Encryption with Keyword Search (PEKS) encryption algorithm.
  • Design PEKS using MNTRU-based problems that have been proven safe from quantum computer attacks.
  • Tested the results of implementation in multiple environments.











Efficient machine learning over encrypted data with non-interactive communication
  • 연구년도 : 2018
  • Keywords: Privacy-preserving classification, fully homographic encryption, applied cryptography, security
  • A privacy-preserving machine learning protocol framework is proposed.
  • The proposed protocol preserves the privacy of mode, user input, and classification output.
  • We realized the Naive-Baysian classification protocol on our framework.
  • We utilized Fully Homomorphic Encryption only for implementation.
  • The proposed supports higher security and communication efficiency.






Improving the Performance of RLizard on Memory-Constraint IoT Devices with 8-Bit ATmega MCU

 

  • 연구년도 : 2020
    Keywords: RLizard, post-quantum cryptography, applied cryptography, security
  • We propose an improved RLizard implementation method that enables the RLizard KEM to run in a resource-constrained Internet of Things (IoT) environment.
  • We improve the implementation of the RLizard KEM by utilizing EEPROM and flash memory.
  • We improve the multiplication process between polynomials utilizing the special property of the second multiplicand in each algorithm of the RLizard KEM.