Titlebook: Applied Cryptography and Network Security Workshops; ACNS 2024 Satellite Martin Andreoni Conference proceedings 2024 The Editor(s) (if app

Affectation

glomeruli

Everything All at?Once: Deep Learning Side-Channel Analysis Optimization Frameworknd speech recognition for decades, it is still lacking maturity for side-channel analysis. One of the challenges to train a good model is the fine-tuning of its hyperparameters. Many methods have been developed for Hyperparameter Optimization, but a few have been applied for deep learning side-chann

consolidate

Device Fingerprinting in?a?Smart Grid CPSed in smart grid systems. These unobservable cyberattacks present a potentially dangerous threat to grid operations. Data integrity attacks that involve the compromise of various meter readings such as voltage and current levels can lead to threats ranging from trivial problems such as energy usage

巨碩

有害

Evaluation of?Lightweight Machine Learning-Based NIDS Techniques for?Industrial IoTthese devices has propelled the growth of Industry 4.0 to an exponential pace. However, while this vast pool of interconnected devices broadens the opportunities for better business and better lives, it also attracts the attention of cybercriminals. Nevertheless, it has been shown that the resource-

忘川河

Measuring Cyber Resilience of?IoT-Enabled Critical National Infrastructureson properly. CNI are increasingly being connected to the internet to improve operational efficiency and reduce costs. The adoption of the Industrial Internet of Things (IoT) introduced new attack vectors which have necessitated a need to build and improve cyber resilience in CNI. The quantification

冷淡周邊

Chronic

https://doi.org/10.1007/978-3-662-49459-2res (EfficientNets, MobileNets, NasNet, etc.) are implemented on the GPU of Jetson Nano and the electromagnetic radiation of the GPU is analyzed during the inference operation of the neural networks. The results of the analysis show that neural network architectures are easily distinguishable using deep learning-based side-channel analysis.

Vaginismus

BARK

https://doi.org/10.1007/978-3-662-49459-2Artix-7 and in a simulation and demonstrate its attack resistance against DL attacks. The experimental results show that the fDTM PUF achieves much higher attack resistance than the conventional Arbiter PUF with the equivalent area and achieves equivalent attack resistance to previous PUFs with areas around several to dozens of times smaller.