Deep Learning-based Side Channel Attack on HMAC SM3
Autor:
Jin, Xin
; Xiao, Yong
; Li, Shiqi
; Wang, Suying
Fecha:
12/2020Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
articleDirección web:
https://www.ijimai.org/journal/bibcite/reference/2841Resumen:
SM3 is a Chinese hash standard. HMAC SM3 uses a secret key to encrypt the input text and gives an output as the HMAC of the input text. If the key is recovered, adversaries can easily forge a valid HMAC. We can choose different methods, such as traditional side channel analysis, template attack-based side channel analysis to recover the secret key. Deep Learning has recently been introduced as a new alternative to perform Side-Channel analysis. In this paper, we try to recover the secret key with deep learning-based side channel analysis. We should train the network recursively for different parameters by using the same dataset and attack the target dataset with the trained network to recover different parameters. The experiment results show that the secret key can be recovered with deep learning-based side channel analysis. This work demonstrates the interests of this new method and show that this attack can be performed in practice.
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
27 |
28 |
13 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |
11 |
3 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
A Comprehensive Framework for Comparing Textbooks: Insights from the Literature and Experts
Huang, Ronghuai; Tlili, Ahmed; Zhang, Xiangling; Sun, Tianyue; Wang, Junyu; Sharma, Ramesh Chander; Affouneh, Saida; Salha, Soheil Hussein; Altinay, Fahriye; Altinay, Zehra; Olivier, Jako; Jemni, Mohamed; Wang, Yiping; Zhao, Jialu; Burgos, Daniel (Sustainable, 2022)Textbooks are essential components in the learning process. They assist in achieving educational learning outcomes and developing social and cultural values. However, limited studies provide comprehensive frameworks for ... -
A deep learning architecture for power management in smart cities
Xin, Qin; Alazab, Mamoun; García Díaz, Vicente; Montenegro-Marin, Carlos Enrique; González-Crespo, Rubén (Elsevier Ltd, 2022)Sustainable energy management is an inexpensive approach for improved energy use. However, the research used does not focus on cutting-edge technology possibilities in an Internet of things (IoT). This paper includes the ... -
AI-based quality of service optimization for multimedia transmission on Internet of Vehicles (IoV) systems
Xin, Qin; Alazab, Mamoun; González-Crespo, Rubén ; Montenegro-Marin, Carlos Enrique (Sustainable Energy Technologies and Assessments, 2022)Multimedia Communications of Internet of Vehicles (IoV) uses WLAN, NFC and Fifth Generation networks. At the same time, in multimedia communications in healthcare, IoV's essential task is optimizing the quality of experience ...