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주파수 분석 기반 RSA 단순 전력 분석
정지혁,
윤지원,
Vol. 31, No. 1, pp. 1-9,
2월.
2021
10.13089/JKIISC.2021.31.1.1
주제어: RSA, Side channel analysis, Automate, K-Means, RSA, Side channel analysis, Automate, K-Means
10.13089/JKIISC.2021.31.1.1
주제어: RSA, Side channel analysis, Automate, K-Means, RSA, Side channel analysis, Automate, K-Means
효과적인 딥러닝 기반 비프로파일링 부채널 분석 모델 설계방안
한재승,
심보연,
임한섭,
김주환,
한동국,
Vol. 30, No. 6, pp. 1291-1300,
12월.
2020
10.13089/JKIISC.2020.30.6.1291
주제어: Side-Channel Analysis, Deep Learning, Multi Layer Perceptron, AES, Side-Channel Analysis, Deep Learning, Multi Layer Perceptron, AES
10.13089/JKIISC.2020.30.6.1291
주제어: Side-Channel Analysis, Deep Learning, Multi Layer Perceptron, AES, Side-Channel Analysis, Deep Learning, Multi Layer Perceptron, AES
지터에 강건한 딥러닝 기반 프로파일링 부채널 분석 방안
김주환,
우지은,
박소연,
김수진,
한동국,
Vol. 30, No. 6, pp. 1271-1278,
12월.
2020
10.13089/JKIISC.2020.30.6.1271
주제어: Side-Channel Analysis, Deep Learning, Jitter, Global Average Pooling, AES, Side-Channel Analysis, Deep Learning, Jitter, Global Average Pooling, AES
10.13089/JKIISC.2020.30.6.1271
주제어: Side-Channel Analysis, Deep Learning, Jitter, Global Average Pooling, AES, Side-Channel Analysis, Deep Learning, Jitter, Global Average Pooling, AES
기계학습을 이용한 소스코드 정적 분석 개선에 관한 연구
박양환,
최진영,
Vol. 30, No. 6, pp. 1131-1139,
12월.
2020
10.13089/JKIISC.2020.30.6.1131
주제어: Static Analysis, Secure Coding, Deep Learning, Convolutional Neural Networks(CNN), Static Analysis, Secure Coding, Deep Learning, Convolutional Neural Networks(CNN)
10.13089/JKIISC.2020.30.6.1131
주제어: Static Analysis, Secure Coding, Deep Learning, Convolutional Neural Networks(CNN), Static Analysis, Secure Coding, Deep Learning, Convolutional Neural Networks(CNN)
함수 단위 N-gram 비교를 통한 Spectre 공격 바이너리 식별 방법
김문선,
양희동,
김광준,
이만희,
Vol. 30, No. 6, pp. 1043-1052,
12월.
2020
10.13089/JKIISC.2020.30.6.1043
주제어: Spectre, Binary Analysis, Malware detection, N-GRAM, Spectre, Binary Analysis, Malware detection, N-GRAM
10.13089/JKIISC.2020.30.6.1043
주제어: Spectre, Binary Analysis, Malware detection, N-GRAM, Spectre, Binary Analysis, Malware detection, N-GRAM
복합 에뮬레이션을 이용한 효율적인 커버리지 가이드 IoT 펌웨어 퍼징 기법
김현욱,
김주환,
윤주범,
Vol. 30, No. 5, pp. 847-857,
10월.
2020
10.13089/JKIISC.2020.30.5.847
주제어: Fuzzing, Firmware Emulator, Dynamic Analysis, Embedded Device, IoT(Internet of Things), Fuzzing, Firmware Emulator, Dynamic Analysis, Embedded Device, IoT(Internet of Things)
10.13089/JKIISC.2020.30.5.847
주제어: Fuzzing, Firmware Emulator, Dynamic Analysis, Embedded Device, IoT(Internet of Things), Fuzzing, Firmware Emulator, Dynamic Analysis, Embedded Device, IoT(Internet of Things)
CNN을 이용한 소비 전력 파형 기반 명령어 수준 역어셈블러 구현
배대현,
하재철,
Vol. 30, No. 4, pp. 527-536,
8월.
2020
10.13089/JKIISC.2020.30.4.527
주제어: Side-Channel Attack, power analysis, Deep Learning, Convolutional Neural Network(CNN), Disassembl, Side-Channel Attack, power analysis, Deep Learning, Convolutional Neural Network(CNN), Disassembl
10.13089/JKIISC.2020.30.4.527
주제어: Side-Channel Attack, power analysis, Deep Learning, Convolutional Neural Network(CNN), Disassembl, Side-Channel Attack, power analysis, Deep Learning, Convolutional Neural Network(CNN), Disassembl
