Computer Systems Security Lab

컴퓨터 시스템 보안 연구실

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CSSLAB의 연구 프로젝트는 소프트웨어 및 하드웨어 시스템 설계 문제에서 자동 프로그램 분석 및 변환 기술을 통해 다양한 컴퓨터 시스템을 보호하는 것을 목표로합니다. 최근에 새로 설립 된 연구 그룹으로서 우리는 보안 원격 실행 또는 자동 취약성 발견과 같은 최첨단 문제를 함께 해결합니다. 흥미롭고 중요한 보안 문제를 찾아 해결하기 위해 우리와 함께하면 컴퓨터 시스템에 대한 이해가 깊어 질 것입니다.
The research projects in CSSLAB spans from software and hardware system design problems through automatic program analysis and transformation techniques, aiming at securing a variety of computer systems. Being a research group newly establishes very recently,
we work on state-of-the-art problems such as secure remote executions or automatic vulnerability finding together. You will deepen your understandings of computer systems once you join us to find and fix interesting and critical security problems.

Major research field

Systems Security, Program Analysis, Computer Architecture, Operation systems, Hardware design

Desired field of research

Machine learning security

Research Keywords and Topics

Security, Systems Security, Program Analysis, Computer Architecture, Operation systems, Software analysis, Hardware analysis, Hardware design

Research Publications
MORE

TRust: A Compilation Framework for In-process Isolation to Protect Safe Rust against Untrusted Code
Inyoung Bang, Martin Kayondo, Hyungon Moon, and Yunheung Paek
USENIX Security Symposium (Security) 2023 (Accepted to appear)

Accelerating N-bit Operations over TFHE on Commodity CPU-FPGA
Kevin Nam, Hyunyoung Oh, Hyungon Moon, and Yunheung Paek
International Conference on Computer-Aided Design (ICCAD) 2022

Precise Extraction of Deep Learning Models via Side-channel Attacks on Edge/endpoint Devices
Younghan Lee, Sohee Jun, Yungi Cho, Woorim Han, Hyungon Moon, and Yunheung Paek
European Symposium on Research in Computer Security (ESORICS) 2022

A Log-Structured Merge Tree-aware Message Authentication Scheme for Persistent Key-Value Stores
Igjae Kim, J. Hyun Kim, Minu Chung, Hyungon Moon, Sam H. Noh
USENIX Conference on File and Storage Technologies (FAST) 2022.

Patents

Snoop-based kernel integrity monitoring apparatus and method thereof
Yunheung Paek, Brent Byunghoon Kang, Hyungon Moon, Hojoon Lee, Jihoon Lee, and Kihwan Kim
January 2017
US Patent No. S9542557

Hardware-based detection of kernel code injection attack apparatus and method thereof
Yunheung Paek, Hyungon Moon, and Jinyong Lee
September 2016
Republic of Korea Patent No. 1016586410000.

국가과학기술표준분류

  • EE. 정보/통신
  • EE03. 정보보호
  • EE0301. 공통 보안기술

국가기술지도분류

  • 정보-지식-지능화 사회 구현
  • 011700. 정보보호기술

녹색기술분류

  • 녹색기술관련 과제 아님

6T분류

  • IT 분야
  • 정보처리 시스템 및 S/W
  • 010312. 정보보안 및 암호기술