Academic Papers

Belaïd, Sonia, et al. "Improved side-channel analysis of finite-field multiplication." International Workshop on Cryptographic Hardware and Embedded Systems. Springer, Berlin, Heidelberg, 2015.

• Summary: This paper extends previous work on side-channel analysis of the multiplication GF(2^128). This is useful for attack AES-GCM.
• Usage: ChipWhisperer Capture Hardware with the ATMega328P
• Springer Link
• PDF Link

Cagli, E., Dumas, C., & Prouff, E. (2015, November). Enhancing dimensionality reduction methods for side-channel attacks. In International Conference on Smart Card Research and Advanced Applications (pp. 15-33). Springer, Cham.

• Summary: This paper makes use of dimensionality reduction techniques to reduce both the memory and timing complexity of advanced side-channel attacks.
• Usage: ChipWhisperer Capture Hardware with the 8-bit AVR microprocessor Atmega328P
• Springer Link
• PDF Link

Frieslaar, I., & Irwin, B. (2015). An investigation into the signals leakage from a smartcard based on different runtime code.

• Summary: This paper investigates the power leakage of a smartcard.
• Usage: Complete ChipWhisperer kit
• PDF Link

Cai, A. K. (2015). Comparison of side channel analysis measurement setups.

• Summary: This paper presents an evaluation of side channel attacks and countermeasures with several state of the art evaluation metrics proposed recently.
• Usage: ChipWhisperer Rev-2 and ChipWhisperer-Lite
• Technische Universiteit Eindhoven Repository Link
• PDF Link

Nascimento, E., López, J., & Dahab, R. (2015, October). Efficient and secure elliptic curve cryptography for 8-bit AVR microcontrollers. In International Conference on Security, Privacy, and Applied Cryptography Engineering (pp. 289-309). Springer, Cham.

• Summary: This paper describes an efficient implementation of ECDH-Curve25519 and EdDSA-Ed25519-SHA512 for the ATmega328P platform.
• Usage: ChipWhisperer Hardware and ATmega328P Microcontroller
• Springer Link

Deshpande, C., Yuce, B., Ghalaty, N. F., Ganta, D., Schaumont, P., & Nazhandali, L. (2016, July). A Configurable and Lightweight Timing Monitor for Fault Attack Detection. In VLSI (ISVLSI), 2016 IEEE Computer Society Annual Symposium on (pp. 461-466). IEEE.

• Summary: This paper proposes a cycle-accurate monitor that can efficiently detect timing violation based fault attacks.
• Usage: FPGA code from the ChipWhisperer code base on the clock glitcher module implemented on the control FPGA (Spartan XC6SLX9)
• IEEE Link

Dofe, J., Frey, J., & Yu, Q. (2016, May). Hardware security assurance in emerging IoT applications. In Circuits and Systems (ISCAS), 2016 IEEE International Symposium on (pp. 2050-2053). IEEE.

• Summary: This paper proposes a low-cost dynamic permutation method for IoT devices where sophisticated cryptographic algorithms and authentication protocols are not suitable due to iot devices often having limited computational power and having the need to be energy efficient.
• Usage: ChipWhisperer software to capture power traces for side-channel analysis
• IEEE Link

Dofe, J., Pahlevanzadeh, H., & Yu, Q. (2016). A comprehensive FPGA-based assessment on fault-resistant AES against correlation power analysis attack. Journal of Electronic Testing, 32(5), 611-624.

• Summary: This paper uses a FPGA-based platform to investigate whether and how the FA countermeasure can influence the efficiency of the correlation power analysis (CPA) attack and propose a new countermeasure that integrates dynamic masking and error deflection to simultaneously thwart CPA and FA attacks.
• Usage: ChipWhisperer software to perform power trace capturing and analysis with the ChipWhisperer Capture Hardware SAKURA-G
• Springer Link

Ahn, H., & Han, D. G. Multilateral White-Box Cryptanalysis.

• Summary: This paper proposes a DPA-based attack that directly exploits the intermediate values of WB-AES computation without the requirement of utilizing memory data.
• Usage: ChipWhisperer-Lite to capture power traces for analysis
• PDF Link

Maghrebi, H., Portigliatti, T., & Prouff, E. (2016, December). Breaking Cryptographic Implementations Using Deep Learning Techniques. In International Conference on Security, Privacy, and Applied Cryptography Engineering (pp. 3-26). Springer International Publishing.

• Summary: This paper proposes to continue a recent line of research of profiling approaches using machine learning techniques, by applying more sophisticated profiling techniques based on deep learning.
• Usage: Attacks on an AES Implementation on the ChipWhisperer-Rev2
• Springer Link
• PDF Link

Nascimento, E., Chmielewski, L., Oswald, D., & Schwabe, P. (2016). Attacking embedded ECC implementations through cmov side channels. IACR Cryptology ePrint Archive, 2016, 923.

• Summary: This paper demonstrates that attacks that require only a single trace and directly target a conditional move (cmov) are indeed possible for ECC software running on AVR ATmega microcontrollers, using a protected version of the popular µNaCl library as an example.
• Usage: ChipWhisperer Software using ATmega328P 8-bit microcontroller placed on the ChipWhisperer hardware target board.
• PDF Link