Ponencia
Automated experimental setup for EM cartography to enhance EM attacks
Autor/es | Tena Sánchez, Erica
Casado Galán, Alejandro Zúñiga González, Virginia Potestad Ordóñez, Francisco Eugenio Acosta Jiménez, Antonio José |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2022 |
Fecha de depósito | 2022-12-01 |
Publicado en |
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Resumen | Side-channel attacks are a real threat, exploiting and
revealing the secret data stored in our electronic devices just
analyzing the leaked information of the cryptographic modules
during their normal encryption/decryption ... Side-channel attacks are a real threat, exploiting and revealing the secret data stored in our electronic devices just analyzing the leaked information of the cryptographic modules during their normal encryption/decryption operations. In this sense, electromagnetic attacks have been posed as one of the most powerful attacks, retrieving the secret information by analyzing the existing relation between the leaked electromagnetic radiation and the data being processed. These attacks are known as ElectroMagnetic (EM) attacks and a extremely critic point for their success is the EM probe positioning. In this paper, an automated experimental setup for EM cartography is described to enhance EM attacks and to help hardware designers to detect the possible information leakage flaws, as well as to determine the security level reached by the hardware implementations against EM attacks. |
Agencias financiadoras | European Union (UE). H2020 Junta de Andalucía Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | PID2020-116664RB-I00
US-1380823 952622 |
Cita | Tena Sánchez, E., Casado Galán, A., Zúñiga González, V., Potestad Ordóñez, F.E. y Acosta Jiménez, A.J. (2022). Automated experimental setup for EM cartography to enhance EM attacks. En 37th edition of the Conference on Design of Circuits and Integrated Systems (DCIS 2022), Navarra. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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DCIS_2022_paper_90042.pdf | 395.9Kb | [PDF] | Ver/ | |