Frequency Throttling Side-Channel Attack
Modern processors dynamically control their operating frequency to optimize resource utilization, maximize energy savings, and conform to system-defined constraints.
Chawla, Nikhil +3 more
core +2 more sources
ThermalAttackNet: Are CNNs Making It Easy to Perform Temperature Side-Channel Attack in Mobile Edge Devices? [PDF]
Side-channel attacks remain a challenge to information flow control and security in mobile edge devices till this date. One such important security flaw could be exploited through temperature side-channel attacks, where heat dissipation and propagation ...
Somdip Dey +2 more
exaly +2 more sources
A Compact and Low Power RO PUF with High Resilience to the EM Side-Channel Attack and the SVM Modelling Attack of Wireless Sensor Networks [PDF]
Yuan Cao, Xiaojin Zhao, Wenbin Ye
exaly +2 more sources
Full key recovery side-channel attack against ephemeral SIKE on the Cortex-M4 [PDF]
This paper describes the first practical single-trace side-channel power analysis of SIKE. While SIKE is a post-quantum key exchange, the scheme still relies on a secret elliptic curve scalar multiplication which involves a loop of a double-and-add ...
Aymeric Genêt +6 more
core +1 more source
Deep Learning-based Side Channel Attack on HMAC SM3 [PDF]
SM3 is a Chinese hash standard. HMAC SM3 uses a secret key to encrypt the input text and gives an output as the HMAC of the input text. If the key is recovered, adversaries can easily forge a valid HMAC.
Wang, Suying +3 more
core +1 more source
‘Unified Side-Channel Attack - Model’ (USCA-M): An Extension with Biometrics Side-Channel Type [PDF]
This paper presents the ‘Unified Side-Channel Attack Model’ (USCA-M) with an additional side-channel type of ‘Biometrics.’ The original published paper ‘Introducing the Unified Side-Channel Attack–Model (USCA-M)’ [1] was presented and published through ...
Ward, Richard, Johnson, Andrew
core +1 more source
On the Evaluation of Deep Learning-Based Side-Channel Analysis
Deep learning-based side-channel analysis is rapidly positioning itself as a de-facto standard for the most powerful profiling side-channel analysis.The results from the last few years show that deep learning techniques can efficiently break targets that
Wu, L. (author) +2 more
core +1 more source
Focus is Key to Success: A Focal Loss Function for Deep Learning-Based Side-Channel Analysis
The deep learning-based side-channel analysis represents one of the most powerful side-channel attack approaches. Thanks to its capability in dealing with raw features and countermeasures, it becomes the de facto standard approach for the SCA community ...
Wu, L. (author) +3 more
core +1 more source
Improved Algebraic Side-Channel Attack on AES [PDF]
In this paper we present improvements of the algebraic side-channel analysis of the Advanced Encryption Standard (AES) proposed in the works of M. Renauld and F.-X. Standaert.
Michael Walter +11 more
core +1 more source
Unified Point Addition Formulæ and Side-Channel Attacks [PDF]
The successful application to elliptic curve cryptography of side-channel attacks, in which information about the secret key can be recovered from the observation of side channels like power consumption or timing, has motivated the recent development ...
Douglas Stebila +3 more
core +1 more source

