Publications associées à Attaque par déni de service

Are Cloud FPGAs Really Vulnerable to Power Analysis Attacks?

Francesco Regazzoni, Mirjana Stojilovic, Louis Coulon, Ognjen Glamocanin

Recent works have demonstrated the possibility of extracting secrets from a cryptographic core running on an FPGA by means of remote power analysis attacks. To mount these attacks, an adversary implements a voltage fluctuation sensor in the FPGA logic, rec ...

2020

Que Sera Consensus: Simple Asynchronous Agreement with Private Coins and Threshold Logical Clocks

Bryan Alexander Ford, Philipp Svetolik Jovanovic

It is commonly held that asynchronous consensus is much more complex, difficult, and costly than partially-synchronous algorithms, especially without using common coins. This paper challenges that conventional wisdom with que sera consensus QSC, an approac ...

2020

Encrypted DNS double right arrow Privacy? A Traffic Analysis Perspective

Carmela González Troncoso, Sandra Deepthy Siby, Narseo Vallina Rodriguez

Virtually every connection to an Internet service is preceded by a DNS lookup. Lookups are performed without any traffic-level protection, thus enabling manipulation, redirection, surveillance, and censorship. To address these issues, large organizations s ...

INTERNET SOC2020

SpecROP: Speculative Exploitation of ROP Chains

Mathias Josef Payer, Atri Bhattacharyya, Andrés Sánchez Marín

Speculative execution attacks, such as Spectre, reuse code from the victim’s binary to access and leak secret information during speculative execution. Every variant of the attack requires very particular code sequences, necessitating elaborate gadget-sear ...

2020

Face Recognition Systems Under Spoofing Attacks

Sébastien Marcel, André Anjos, Ivana Chingovska

In this chapter we give an overview of spoofing attacks and spoofing counter-measures for face recognition systems, in particular in a verification sce- nario. We focus on 2D and 3D attacks to Visible Spectrum systems (VIS), as well as Near Infrared (NIR) ...

Idiap2020

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

Sébastien Marcel, André Anjos, Zohreh Mostaani

Face recognition is a mainstream biometric authentication method. However, vulnerability to presentation attacks (a.k.a spoofing) limits its usability in unsupervised applications. Even though there are many methods available for tackling presentation atta ...

2019

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

Sébastien Marcel, André Anjos, Zohreh Mostaani

2019

Employing Attack Graphs for Intrusion Detection

Mathias Josef Payer

Intrusion detection systems are a commonly deployed defense that examines network traffic, host operations, or both to detect attacks. However, more attacks bypass IDS defenses each year, and with the sophistication of attacks increasing as well, we must e ...

ASSOC COMPUTING MACHINERY2019

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Attaque par déni de service

Are Cloud FPGAs Really Vulnerable to Power Analysis Attacks?

Que Sera Consensus: Simple Asynchronous Agreement with Private Coins and Threshold Logical Clocks

Encrypted DNS double right arrow Privacy? A Traffic Analysis Perspective

BIAS: Bluetooth Impersonation AttackS

SpecROP: Speculative Exploitation of ROP Chains

On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing

Face Recognition Systems Under Spoofing Attacks

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

Employing Attack Graphs for Intrusion Detection

Graph Chatbot

Chattez avec Graph Search

BIAS: Bluetooth Impersonation AttackS

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

Encrypted DNS double right arrow Privacy? A Traffic Analysis Perspective

Are Cloud FPGAs Really Vulnerable to Power Analysis Attacks?

Face Recognition Systems Under Spoofing Attacks

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

Que Sera Consensus: Simple Asynchronous Agreement with Private Coins and Threshold Logical Clocks

SpecROP: Speculative Exploitation of ROP Chains

On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing

Employing Attack Graphs for Intrusion Detection