Awarded the Outstanding Paper Award at the 2024 Korea Information Security Society Summer Conference, etc. / Han Dong Guk(Information Security Cryptography mathematics)
- 24.07.17 / 박서연
The SICADA (Side-Channel Analysis Design Academy) lab (team) of Prof. Han Dong Guk, Department of Information Security and Cryptography, received the Best Paper Award at the Korea Information Security Association Summer Conference held from June 20th (Thursday) to 21st (Friday).
Han Jae Seung(Ph.D. candidate 22, Department of Financial Information Security) and Kim Ju Hwan(M.S. candidate 23, Department of Financial Information Security) won the best paper awards for “Secret Key Recovery Side-Channel Analysis Technique for KpqC Round 2 AIMer” and “Artificial Neural Network Misclassification Vulnerability Analysis Based on DRAM Error Injection,” respectively.
At the 7th Workshop on Side-Channel Information Analysis, held from July 4 (Thursday) to July 5 (Friday), Kim Ju Hwan and Choi Gun Hee(MSc 22, Department of Financial Information Security), Yu Seung Hwan(MSc 19, Department of Information Security and Cryptography), Kim Yong Jae(MSc 20, Department of Information Security and Cryptography), and Oh Chung Yeon(MSc 20, Department of Information Security and Cryptography) presented “Correlated Electromagnetic Wave Analysis of High-Specification Equipment” and “Correlated Electromagnetic Wave Analysis of Cryptographic Devices”, respectively, “Detecting Error Injection Locations by Analyzing Emitted Electromagnetic Waves of Cryptographic Devices,” “Simple Power Analysis of Key-Dependent Computation of KpqC Round 2 Candidate SMAUG-T,” “Formation of Electromagnetic Signal Concealment Channel Using Smartphone Silent Sound Playback,” and “Performance Comparison of Deep Learning-Based Profiling Analysis on Median FPGA AES Designs,” respectively.
SICADA's research focuses on side-channel analysis and error injection attacks on Post Quantum Cryptography (PQC) and block ciphers. We are working on technologies to securely implement cryptographic algorithms by developing methods to evaluate security vulnerabilities of commercial equipment such as drones using traditional statistical side-channel analysis, deep learning-based analysis, and error injection attacks, and developing countermeasures against them.
|
This content is translated from Korean to English using the AI translation service DeepL and may contain translation errors such as jargon/pronouns. If you find any, please send your feedback to kookminpr@kookmin.ac.kr so we can correct them.
|
|
Awarded the Outstanding Paper Award at the 2024 Korea Information Security Society Summer Conference, etc. / Han Dong Guk(Information Security Cryptography mathematics) |
||||
|---|---|---|---|---|
|
2024-07-17
4294
The SICADA (Side-Channel Analysis Design Academy) lab (team) of Prof. Han Dong Guk, Department of Information Security and Cryptography, received the Best Paper Award at the Korea Information Security Association Summer Conference held from June 20th (Thursday) to 21st (Friday).
Han Jae Seung(Ph.D. candidate 22, Department of Financial Information Security) and Kim Ju Hwan(M.S. candidate 23, Department of Financial Information Security) won the best paper awards for “Secret Key Recovery Side-Channel Analysis Technique for KpqC Round 2 AIMer” and “Artificial Neural Network Misclassification Vulnerability Analysis Based on DRAM Error Injection,” respectively.
At the 7th Workshop on Side-Channel Information Analysis, held from July 4 (Thursday) to July 5 (Friday), Kim Ju Hwan and Choi Gun Hee(MSc 22, Department of Financial Information Security), Yu Seung Hwan(MSc 19, Department of Information Security and Cryptography), Kim Yong Jae(MSc 20, Department of Information Security and Cryptography), and Oh Chung Yeon(MSc 20, Department of Information Security and Cryptography) presented “Correlated Electromagnetic Wave Analysis of High-Specification Equipment” and “Correlated Electromagnetic Wave Analysis of Cryptographic Devices”, respectively, “Detecting Error Injection Locations by Analyzing Emitted Electromagnetic Waves of Cryptographic Devices,” “Simple Power Analysis of Key-Dependent Computation of KpqC Round 2 Candidate SMAUG-T,” “Formation of Electromagnetic Signal Concealment Channel Using Smartphone Silent Sound Playback,” and “Performance Comparison of Deep Learning-Based Profiling Analysis on Median FPGA AES Designs,” respectively.
SICADA's research focuses on side-channel analysis and error injection attacks on Post Quantum Cryptography (PQC) and block ciphers. We are working on technologies to securely implement cryptographic algorithms by developing methods to evaluate security vulnerabilities of commercial equipment such as drones using traditional statistical side-channel analysis, deep learning-based analysis, and error injection attacks, and developing countermeasures against them.
|
||||
