Secure Socket Shell, also known as Secure Shell, refers to the cryptographic network protocol and suite of implementation utilities that helps users connect a computer over an unsecured network. Although SSH provides ...
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The proceedings contain 32 papers. The topics discussed include: empirical study on request timeout and retry for microservices communication;rl-based approach to enhance reliability and efficiency in autoscaling for ...
ISBN:
(纸本)9798331540746
The proceedings contain 32 papers. The topics discussed include: empirical study on request timeout and retry for microservices communication;rl-based approach to enhance reliability and efficiency in autoscaling for heterogeneous edge serverless computing environments;robustness of redundancy-hardened convolutional neural networks against adversarial attacks;bridging gaps between scenario-based safety analysis and simulation-based testing for autonomous driving systems;sequential programming for distributed algorithm verification;selecting nodes to protect in interdependent networks using Shapley value analysis;smart building control system emulation platform for security testing;and construction of VDM++ specifications from extended screen transition diagrams for validation of microservice-based web applications.
Autonomous vehicles (AVs) increasingly rely on vehicle-to-everything (V2X) networks for communication. However, due to the devices' heterogeneity, they are more susceptible to attacks like distributed denial of se...
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Spiking neural networks (SNNs) have gained attention as a promising alternative to traditional artificial neural networks (ANNs) due to their potential for energy efficiency and their ability to model spiking behavior...
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ISBN:
(纸本)9798350311990
Spiking neural networks (SNNs) have gained attention as a promising alternative to traditional artificial neural networks (ANNs) due to their potential for energy efficiency and their ability to model spiking behavior in biological systems. However, the training of SNNs is still a challenging problem, and new techniques are needed to improve their performance. In this paper, we study the impact of skip connections on SNNs and propose a hyperparameter optimization technique that adapts models from ANN to SNN. We demonstrate that optimizing the position, type, and number of skip connections can significantly improve the accuracy and efficiency of SNNs by enabling faster convergence and increasing information flow through the network. Our results show an average +8% accuracy increase on CIFAR-10-DVS and DVS128 Gesture datasets adaptation of multiple state-of-the-art models.
Early Exit Neural networks (EENNs) achieve enhanced efficiency compared to traditional models, but creating them is challenging due to the many additional design choices required. To address this, we propose an automa...
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ISBN:
(纸本)9783031783791;9783031783807
Early Exit Neural networks (EENNs) achieve enhanced efficiency compared to traditional models, but creating them is challenging due to the many additional design choices required. To address this, we propose an automated augmentation flow that converts existing models into EENNs, making all necessary design decisions for deployment on heterogeneous or distributed embedded targets. Our framework is the first to perform all these steps, including EENN architecture construction, subgraph mapping, and decision mechanism configuration. We evaluated our approach on embedded Deep Learning scenarios, achieving significant performance improvements. Our solution reduced latency by 65.95% on a speech command detection problem and mean operations per inference by 78.3% on an ECG classification task. This showcases the potential for EENNs in embedded applications.
SCALO is the first distributed brain-computer interface (BCI) consisting of multiple wireless-networked implants placed on different brain regions. SCALO unlocks new treatment options for debilitating neurological dis...
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ISBN:
(纸本)9798400700958
SCALO is the first distributed brain-computer interface (BCI) consisting of multiple wireless-networked implants placed on different brain regions. SCALO unlocks new treatment options for debilitating neurological disorders and new research into brain-wide network behavior. Achieving the fast and low-power communication necessary for real-time processing has historically restricted BCIs to single brain sites. SCALO also adheres to tight power constraints, but enables fast distributed processing. Central to SCALO's efficiency is its realization as a full stack distributed system of brain implants with accelerator-rich compute. SCALO balances modular system layering with aggressive cross-layer hardware-software co-design to integrate compute, networking, and storage. The result is a lesson in designing energy-efficient networked distributedsystems with hardware accelerators from the ground up.
Amidst an era of speedy technological growth, fraud is a complex challenge. This article presents an innovative analytical method that uses utility consumption data to identify probable instances of fraud in utility-b...
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ISBN:
(纸本)9798350368130
Amidst an era of speedy technological growth, fraud is a complex challenge. This article presents an innovative analytical method that uses utility consumption data to identify probable instances of fraud in utility-based services. This study evaluates the efficacy of neural networks, specifically Artificial Neural Network (ANN)-a subset of neural networks, compared to Light Gradient Boosting Machine (LGBM), a tree-based model. It uses data from the Zindi challenge to analyze their capability to detect fraudulent consumption patterns. The article focuses on optimizing features using Pearson correlation and discusses the difficulties associated with imbalanced data sets. The LGBM model has exceptional performance, as seen by its impressive ROC AUC score of 0.878242. This number highlights its remarkable ability to differentiate fraudulent actions from ANN, thus establishing future advancements in fraud detection in utility-based services.
Smart cities, equipped with smart grid infrastructure, establish advanced communication networks that facilitate interactions among multiple entities. It is well-known that smart grid technology ensures the reliable t...
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Ant colony algorithm simulates the foraging behavior of ants in nature, using their unique pheromones to label paths and find the shortest path. This method can effectively solve the optimal problem, especially suitab...
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Wirelessly coordinated distributed arrays will have a significant impact in next generation communications and sensing systems in coming years. However, to achieve high modulation bandwidths and carrier frequencies, t...
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