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On the application of Two-Photon Absorption for Laser Fault Injection attacks
Transactions on Cryptographic Hardware and Embedded Systems, 2022 Laser Fault Injection (LFI) is considered to be the most powerful semiinvasive fault injection method for implementation attacks on security devices. In this work we discuss for the first time the application of the nonlinear Two-Photon Absorption (TPA)
Bodo Selmke +7 more
doaj +7 more sources
Laser fault injection into SRAM cells: Picosecond versus nanosecond pulses [PDF]
2015 IEEE 21st International On-Line Testing Symposium (IOLTS), 2015 Laser fault injection into SRAM cells is a widely used technique to perform fault attacks. In previous works, Roscian and Sarafianos studied the relations between the layout of the cell, its different laser-sensitive areas and their associated fault model using 50 ns duration laser pulses.
Jean-Baptiste Rigaud +2 more
exaly +3 more sources
Laser Fault Injection at the CMOS 28 nm Technology Node: an Analysis of the Fault Model [PDF]
2018 Workshop on Fault Diagnosis and Tolerance in Cryptography (FDTC), 2018 S. Skorobogatov and R. Anderson identified laser illumination as an effective technique to conduct fault attacks in 2002. In these early days of laser-induced fault injection, it was proven to be possible to inject single-bit faults into integrated circuits.
Jean-Max Dutertre +2 more
exaly +3 more sources
Permanent Laser Fault Injection into the Flash Memory of a Microcontroller [PDF]
2021 19th IEEE International New Circuits and Systems Conference (NEWCAS), 2021 The Flash memory of a Microcontroller Unit (MCU) is an important part of its attack surface as it contains its firmware and its security related data (e.g. passwords and cryptographic keys). Recent research works report the use of Laser Fault Injections (LFI) to corrupt the firmware at run time by targeting the Flash memory during its read operations ...
Viera, Raphael +3 more
core +6 more sources
DELFINES: Detecting Laser Fault Injection Attacks via Digital Sensors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 International audience ; Laser Fault Injection Attacks (LFIA) are a major concern in physical security of electronic circuits as they allow an attacker to inject a fault with a very high spatial accuracy. They are also often considered by Information Technology Security Evaluation Facilities (ITSEFs) to deliver security certification, as Common ...
Mohammad Ebrahimabadi +2 more
exaly +4 more sources
Redshift: Manipulating Signal Propagation Delay via Continuous-Wave Lasers
Transactions on Cryptographic Hardware and Embedded Systems, 2022 We propose a new laser injection attack Redshift that manipulates signal propagation delay, allowing for precise control of oscillator frequencies and other behaviors in delay-sensitive circuits.
Kohei Yamashita +4 more
doaj +3 more sources
Roulette: A Diverse Family of Feasible Fault Attacks on Masked Kyber
Transactions on Cryptographic Hardware and Embedded Systems, 2022 At Indocrypt 2021, Hermelink, Pessl, and Pöppelmann presented a fault attack against Kyber in which a system of linear inequalities over the private key is generated and solved.
Jeroen Delvaux
doaj +3 more sources
Silicon Proven 1.29 μm × 1.8 μm 65nm Sub-Vt Optical Sensor for Hardware Security Applications
IEEE Access, 2023 Optical fault injection is a type of attack vector targeting cryptographic circuits where the adversary injects faults during system operation to bypass defenses or reveal secret information. Since preventing this kind of attack is generally impractical,
David Zooker +3 more
doaj +1 more source
An improvement of both security and reliability for AES implementations
Journal of King Saud University: Computer and Information Sciences, 2022 Cryptographic circuits, because they contain confidential information, are subject to fraudulent manipulations, commonly called attacks, by ill-intentioned people. Several attacks have been identified and analyzed.
Mouna Bedoui +4 more
doaj +1 more source
Fault Injection Attacks in Spiking Neural Networks and Countermeasures
Frontiers in Nanotechnology, 2022 Spiking Neural Networks (SNN) are fast emerging as an alternative option to Deep Neural Networks (DNN). They are computationally more powerful and provide higher energy-efficiency than DNNs. While exciting at first glance, SNNs contain security-sensitive
Karthikeyan Nagarajan +4 more
doaj +1 more source