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블록 암호 ARIA에 대한 Flush+Reload 캐시 부채널 공격
배대현,
황종배,
하재철,
Vol. 30, No. 6, pp. 1207-1216,
12월.
2020
10.13089/JKIISC.2020.30.6.1207
주제어: Microarchitectural attack, Cache side-channel attack, FLUSH+RELOAD Attack, ARIA, Microarchitectural attack, Cache side-channel attack, FLUSH+RELOAD Attack, ARIA
주제어: Microarchitectural attack, Cache side-channel attack, FLUSH+RELOAD Attack, ARIA, Microarchitectural attack, Cache side-channel attack, FLUSH+RELOAD Attack, ARIA
ICT 공급망 보안기준 및 프레임워크 비교 분석
민성현,
손경호,
Vol. 30, No. 6, pp. 1189-1206,
12월.
2020
10.13089/JKIISC.2020.30.6.1189
주제어: Supply Chain Security, Supply Chain Attack, Supply Chain Risk Management, Supply Chain Security, Supply Chain Attack, Supply Chain Risk Management
주제어: Supply Chain Security, Supply Chain Attack, Supply Chain Risk Management, Supply Chain Security, Supply Chain Attack, Supply Chain Risk Management
사이버 공격 대비 가동 물리장치에 대한 실시간 간접 상태감시시스템 설계 및 구현
장원구,
이경호,
Vol. 29, No. 6, pp. 1447-1461,
12월.
2019
10.13089/JKIISC.2019.29.6.1447
주제어: Combat Assessment, Cyber Battle Damage Assessment, Cyberspace, Cyber Attack, Combat Assessment, Cyber Battle Damage Assessment, Cyberspace, Cyber Attack
주제어: Combat Assessment, Cyber Battle Damage Assessment, Cyberspace, Cyber Attack, Combat Assessment, Cyber Battle Damage Assessment, Cyberspace, Cyber Attack
미국 공급망 보안 관리 체계 분석
손효현,
김광준,
이만희,
Vol. 29, No. 5, pp. 1089-1097,
10월.
2019
10.13089/JKIISC.2019.29.5.1089
주제어: Supply Chain Risk Management, Supply Chain Evaluation and Verification, Supply Chain Attack, SCRM, Supply Chain Risk Management, Supply Chain Evaluation and Verification, Supply Chain Attack, SCRM
주제어: Supply Chain Risk Management, Supply Chain Evaluation and Verification, Supply Chain Attack, SCRM, Supply Chain Risk Management, Supply Chain Evaluation and Verification, Supply Chain Attack, SCRM
사이버 공격에 의한 시스템 이상상태 탐지 기법
윤여정,
정유진,
Vol. 29, No. 5, pp. 1027-1037,
10월.
2019
10.13089/JKIISC.2019.29.5.1027
주제어: Cyber Attack, Unknown Attack, Word Embedding, Novelty Detection, Anomaly Detection, Cyber Attack, Unknown Attack, Word Embedding, Novelty Detection, Anomaly Detection
주제어: Cyber Attack, Unknown Attack, Word Embedding, Novelty Detection, Anomaly Detection, Cyber Attack, Unknown Attack, Word Embedding, Novelty Detection, Anomaly Detection
Multi-Layer Perceptron 기법을 이용한 전력 분석 공격 구현 및 분석
권홍필,
배대현,
하재철,
Vol. 29, No. 5, pp. 997-1006,
10월.
2019
10.13089/JKIISC.2019.29.5.997
주제어: Side-Channel Analysis, Power Analysis Attack, Deep Learning MLP, Machine Learning SVM, Side-Channel Analysis, Power Analysis Attack, Deep Learning MLP, Machine Learning SVM
주제어: Side-Channel Analysis, Power Analysis Attack, Deep Learning MLP, Machine Learning SVM, Side-Channel Analysis, Power Analysis Attack, Deep Learning MLP, Machine Learning SVM
부채널 공격에 대응하는 경량 블록 암호 CHAM 구현을 위한 마스킹 기법 적용 및 분석
권홍필,
하재철,
Vol. 29, No. 4, pp. 709-718,
8월.
2019
10.13089/JKIISC.2019.29.4.709
주제어: Physical attack, Symmetric cipher CHAM, ARX cipher, Masking Method
주제어: Physical attack, Symmetric cipher CHAM, ARX cipher, Masking Method
AI 환경에서 모델 전도 공격에 안전한 차분 프라이버시 기술
박철희,
홍도원,
Vol. 29, No. 3, pp. 589-598,
6월.
2019
10.13089/JKIISC.2019.29.3.589
주제어: Differential privacy, model inversion attack, privacy-preserving neural network, Differential privacy, model inversion attack, privacy-preserving neural network
주제어: Differential privacy, model inversion attack, privacy-preserving neural network, Differential privacy, model inversion attack, privacy-preserving neural network
비프로파일링 기반 전력 분석의 성능 향상을 위한 오토인코더 기반 잡음 제거 기술
권동근,
진성현,
김희석,
홍석희,
Vol. 29, No. 3, pp. 491-501,
6월.
2019
10.13089/JKIISC.2019.29.3.491
주제어: Side-Channel Analysis, Non-Profiled Attack, Deep Learning, Auto-Encoder, Preprocessing, Side-Channel Analysis, Non-Profiled Attack, Deep Learning, Auto-Encoder, Preprocessing
주제어: Side-Channel Analysis, Non-Profiled Attack, Deep Learning, Auto-Encoder, Preprocessing, Side-Channel Analysis, Non-Profiled Attack, Deep Learning, Auto-Encoder, Preprocessing
공개 딥러닝 라이브러리에 대한 보안 취약성 검증
정재한,
손태식,
Vol. 29, No. 1, pp. 117-125,
2월.
2019
10.13089/JKIISC.2019.29.1.117
주제어: Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network, Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network
주제어: Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network, Adversarial attack, MNIST, Deep Learning, Security, Autoencoder, Convolution Neural Network