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Analysis and Improvement of Differential Computation Attacks against Internally-Encoded White-Box Implementations
white-box cryptography internal encoding differential computation analysis
2019/1/29
White-box cryptography is the last security barrier for a cryptographic software implementation deployed in an untrusted environment. The principle of internal encodings is a commonly used white-box t...
This paper presents a very practical key recovery attack on Speck32/64 reduced to 11 rounds based on a novel type of differential distinguisher using machine learning. These distinguishers exceed dist...
Biased Nonce Sense: Lattice Attacks against Weak ECDSA Signatures in Cryptocurrencies
Hidden number problem ECDSA Lattices
2019/1/10
In this paper, we compute hundreds of Bitcoin private keys and dozens of Ethereum, Ripple, SSH, and HTTPS private keys by carrying out cryptanalytic attacks against digital signatures contained in pub...
On the Bright Side of Darkness: Side-Channel Based Authentication Protocol Against Relay Attacks
authentication protocol relay attacks side-channel attacks
2019/1/9
Relay attacks are nowadays well known and most designers of secure authentication protocols are aware of them. At present, the main methods to prevent these attacks are based on the so-called distance...
Survey for Performance & Security Problems of Passive Side-channel Attacks Countermeasures in ECC
Internet of Things Elliptic curve cryptosystems Side-channel attack
2019/1/9
The main objective of the Internet of Things is to interconnect everything around us to obtain information which was unavailable to us before, thus enabling us to make better decisions. This interconn...
Learning to Reconstruct: Statistical Learning Theory and Encrypted Database Attacks
Statistical Learning Theory Encrypted Database Attacks
2019/1/9
We show that the problem of reconstructing encrypted databases from access pattern leakage is closely related to statistical learning theory. This new viewpoint enables us to develop broader attacks t...
Structural Nonlinear Invariant Attacks on T-310: Attacking Arbitrary Boolean Functions
block ciphers Boolean functions non-linearity
2019/1/2
Recent papers show how to construct polynomial invariant attacks for block ciphers, however almost all such results are somewhat weak: invariants are simple and low degree and the Boolean functions te...
Deep Learning vs Template Attacks in front of fundamental targets: experimental study
Side channel deep dearning template attack
2018/12/24
This study compares the experimental results of Template Attacks (TA) and Deep Learning (DL) techniques called Multi Layer Perceptron (MLP) and Convolutional Neural Network (CNN), concurrently in fron...
Revisiting Orthogonal Lattice Attacks on Approximate Common Divisor Problems and their Applications
Fully homomorphic encryption approximate common divisor problem implicit factorization problem
2018/12/20
In this paper, we revisit three existing types of orthogonal lattice (OL) attacks and propose optimized cases to solve approximate common divisor (ACD) problems. In order to reduce both space and time...
Multi-Target Attacks on the Picnic Signature Scheme and Related Protocols
Cryptanalysis multi-target attack Picnic signature scheme
2018/12/20
Picnic is a signature scheme that was presented at ACM CCS 2017 by Chase et al. and submitted to NIST's post-quantum standardization project. Among all submissions to NIST's project, Picnic is one of ...
Quantum Chosen-Ciphertext Attacks against Feistel Ciphers
Feistel cipher Quantum chosen-ciphertext attacks Simon's algorithm
2018/12/19
Seminal results by Luby and Rackoff show that the 3-round Feistel cipher is secure against chosen-plaintext attacks (CPAs), and the 4-round version is secure against chosen-ciphertext attacks (CCAs). ...
Cryptographic implementations on embedded systems need to be protected against physical attacks. Today, this means that apart from incorporating countermeasures against side-channel analysis, implemen...
Gradient Visualization for General Characterization in Profiling Attacks
Side Channel Analysis Profiling Attacks Deep Learning,
2018/12/19
Past few years have seen the emergence of Machine Learning and Deep Learning algorithms as promising tools for profiling attacks, especially Convolutional Neural Networks (CNN). The latters have indee...
Automated software protection for the masses against side-channel attacks
Side-channel attack hiding polymorphism
2018/12/19
We present an approach and a tool to answer the need for effective, generic and easily applicable protections against side-channel attacks. The protection mechanism is based on code polymorphism, so t...
On Quantum Chosen-Ciphertext Attacks and Learning with Errors
chosen-ciphertext security learning with errors quantum attacks
2018/12/11
Large-scale quantum computing is a significant threat to classical public-key cryptography. In strong “quantum access” security models, numerous symmetric-key cryptosystems are also vulnerable. We con...