Biography
Duc (Cothan) Nguyen is a graduate research assistant in hardware implementation of Post-Quantum Cryptography in FPGA. His research interest includes designing Post-Quantum Cryptography hardware architecture, applying deep learning to binary analysis, and NEON implementation of multiple PQC candidates. Before his Ph.D., he participated in many CTF competitions and won several national and international prizes, his tasks were to implement relevant cryptographic attack papers during competitions.
Also, he is the founder of Efiens CTF team, the top student CTF team in Vietnam.
Interests
- Post-Quantum Cryptography
- SIMD Cryptographic Implementation
- Deep Learning Binary Analysis
- Capture The Flag
- High Level Synthesis
Education
Ph.D in Hardware Implementation of Post-Quantum Cryptography, 2017-2023
George Mason University, VA, USA
BSc in Computer Engineering, 2015
Bach Khoa University, Vietnam
Experience
PhD Student - Graduate Research Assistant
Cryptographic Engineering Research Group
FPGA Cryptographic Engineering:
- Evaluate, benchmark Post-Quantum Cryptography (PQC) NIST lattice-based candidates
- Offload time-critical PQC functionality to FPGA
- Design and Implement High speed Hardware architecture in High-Level-Synthesis
- Experiment and estimate speed-up result on Software/Hardware Co-design Platform
- Published Round 1 PQC code: NTRUEncrypt, NTRU-HRSS, NTRU Prime
- Design high speed, optimal latency hardware architecture for Polynomial Multiplication using Number Theoretic Transform applied to: CRYSTAL-Kyber/Dilithium, NewHope
Implement Post-Quantum Cryptography in NEON SIMD:
- Contributed to SUPERCOP KEM: NEON implementation of SABER, and NTRU
Binary Analysis:
- Deep Learning: Resolving disassembler architecture ambiguity using Neural Network
- Side channel Instruction Counter using Qiling, QEMU
- Round 1 Post-Quantum Cryptography Competitions held by NIST
Operation Security Internship
VNG Corporation
Responsibilities include:
- Tracked and monitored security events
- Detected and responded to abnormal activities and behavior of sophisticated malware
Accomplish­ments
Post-Quantum Cryptography Contributor
Cryptography: Foundations and New Directions
Lattices and applications to cryptography and coding theory
Machine Learning
Cryptography 1
Recent Posts
Projects
Deep Learning Instruction Set Architecture Classifier
Deep Learning Instruction Set Architecture Classifier Given binary blob, this classifier can identify its architecture by 93% accuracy.
NEON SHA3 2x
ARMv8 NEON Keccak SHA3 Implementation
NEON KYBER
Accelerate NEON KYBER by 90% compare to Reference Code
NEON NTRU
NEON NTRU speedup is 26-37 times compare to Reference C code
NEON SABER
Accelerate NEON SABER by 3x compare to Reference C code
Recent & Upcoming Talks
Featured Publications
CWE-208: Constant-time Implementation to Lattice-based Post-Quantum Cryptography
In this paper, we discuss the techniques used in Post-Quantum Cryptography implementation to counter timing side-channel attack.
High-Level Synthesis in Implementing and Benchmarking Number Theoretic Transform in Lattice-based Post-Quantum Cryptography using Software/Hardware Codesign
Block Diagram High Level Synthesis (BD/HLS) implementation is better than Space Exploration High Level Synthesis in NTT implementation, BD/HLS speedup is very close to traditional RTL implementation
Recent Publications
CWE-208: Constant-time Implementation to Lattice-based Post-Quantum Cryptography
High-Level Synthesis in Implementing and Benchmarking Number Theoretic Transform in Lattice-based Post-Quantum Cryptography using Software/Hardware Codesign
Contact
I’m open to work