How Deep Learning Helps Compromising USIM

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	CARDIS (19. : 2020 : Online) Smart card research and advanced applications
1. Verfasser:	Brisfors, Martin (VerfasserIn)
Weitere Verfasser:	Forsmark, Sebastian (VerfasserIn), Dubrova, Elena (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2021
Schlagworte:
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Titel	Jahr	Verfasser
A Constant Time Full Hardware Implementation of Streamlined NTRU Prime	2021	Marotzke, Adrian
Optimized Software Implementations for the Lightweight Encryption Scheme ForkAE	2021	Deprez, Arne
Low-Cost Body Biasing Injection (BBI) Attacks on WLCSP Devices	2021	O'Flynn, Colin
Classic McEliece Implementation with Low Memory Footprint	2021	Roth, Johannes
A Fast and Compact RISC-V Accelerator for Ascon and Friends	2021	Steinegger, Stefan
Secure and Efficient Delegation of Pairings with Online Inputs	2021	Crescenzo, Giovanni Di
How Deep Learning Helps Compromising USIM	2021	Brisfors, Martin
Lightweight Post-quantum Key Encapsulation for 8-bit AVR Microcontrollers	2021	Cheng, Hao
On the Security of Off-the-Shelf Microcontrollers: Hardware is Not Enough	2021	Udvarhelyi, Balazs
A Power Side-Channel Attack on the CCA2-Secure HQC KEM -Zeh	2021	Schamberger, Thomas
Let’s Tessellate: Tiling for Security Against Advanced Probe and Fault Adversaries	2021	Dhooghe, Siemen
Differential Analysis and Fingerprinting of ZombieLoads on Block Ciphers	2021	Schlüter, Till