This study explores the integration of Kubernetes with embeddedsystems in the Internet of Medical Things, focusing on enhancing security through post-quantum cryptography (PQC). It leverages the CRYSTAL-Kyber algorit...
详细信息
ISBN:
(纸本)9798350349535;9798350349542
This study explores the integration of Kubernetes with embeddedsystems in the Internet of Medical Things, focusing on enhancing security through post-quantum cryptography (PQC). It leverages the CRYSTAL-Kyber algorithm and ASCON to fortify IoMT against quantum computing threats while maintaining operational efficiency. The urgency of this research escalates with the advancements in quantum computing. Performance evaluations show Kyber512's key encapsulation at 3,464 mu s and decryption at 3,844 mu s, indicating suitability for time-sensitive medical applications. Additionally, the research investigates cryptographic scalability with Docker and Kubernetes to achieve a balance of security, flexibility, and scalability essential for IoMT's reliable operation in healthcare contexts. Resource efficiency is highlighted with CPU usage on a Raspberry Pi master node at 8% without workload pods and memory usage increasing from 36% to 69% when scaling from zero to four pods, showcasing Kubernetes's ability to manage cryptographic operations efficiently. The findings affirm the benefits of integrating post-quantum and lightweight cryptographic techniques within a Kubernetes-managed IoMT framework. Low CPU usage across nodes, even under multiple pods, demonstrates the system's capacity to handle increased workloads effectively, offering robust protection against quantum threats without compromising performance. This integration presents a viable strategy to enhance IoMT security and efficiency amidst growing quantum computing challenges.
In the context of contemporary digitalization, the remote oversight and management of substation apparatus via programmable logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems has tra...
详细信息
embeddedsystems are ubiquitous, but in order to maximize their lifetime on batteries there is a need for faster code execution - i.e., higher energy effciency, and for reduced memory usage. The large number of sensor...
详细信息
ISBN:
(纸本)9798400705076
embeddedsystems are ubiquitous, but in order to maximize their lifetime on batteries there is a need for faster code execution - i.e., higher energy effciency, and for reduced memory usage. The large number of sensors integrated into embeddedsystems gives us the opportunity to exploit sensors' technical specifications, like a sensor's value range, to guide compiler optimizations for faster code execution, small binaries, etc. We design and implement such an idea in CoSense, a novel compiler (extension) based on the LLVM infrastructure, using an existing domain-specific language (DSL), Newton, to describe the bounds of and relations between physical quantities measured by sensors. CoSense utilizes previously unexploited physical information correlated to program variables to drive code optimizations. CoSense computes value ranges of variables and proceeds to overload functions, compress variable types, substitute code with constants and simplify the condition statements. We evaluated CoSense using several microbenchmarks and two real-world applications on various platforms and CPUs. For microbenchmarks, CoSense achieves 1.18x geomean speedup in execution time and 12.35% reduction on average in binary code size with 4.66% compilation time overhead on x86, and 1.23x geomean speedup in execution time and 10.95% reduction on average in binary code size with 5.67% compilation time overhead on ARM. For real-world applications, CoSense achieves 1.70x and 1.50x speedup in execution time, 12.96% and 0.60% binary code reduction, 9.69% and 30.43% lower energy consumption, with a 26.58% and 24.01% compilation time overhead, respectively.
In an era dominated by the ubiquity of digital communication, Reach emerges as a pioneering mobile-first chat application, engineered to facilitate seamless in-person messaging and empower users for real-time connecti...
详细信息
For trajectory generation, quintic spline interpolation can ensure the zero velocities and accelerations of both the starting and ending points, presenting advantages not achievable by cubic spline interpolation. Due ...
详细信息
Parity-time (PT) symmetry, a salient landmark in the realm of non-Hermitian physics, reveals that non-conservative Hamiltonians upholding both parity (P) and time-reversal (T) operators may present entirely real eigen...
详细信息
Safety is one of the key points that limit the spread of light mobility. The objective of this work is the proposal of a proof of concept of an embedded, low-cost, battery-powered system to be placed on the back of th...
详细信息
ISBN:
(纸本)9798350380903;9798350380910
Safety is one of the key points that limit the spread of light mobility. The objective of this work is the proposal of a proof of concept of an embedded, low-cost, battery-powered system to be placed on the back of the bike capable of recognizing an approaching car in advance and accessing a visual signal that warns the coming car of the cyclist's presence. Many studies in the literature on vehicle approach detection use audio-video techniques;however, they unsatisfactorily apply to embedded implementation due to their computational complexity. Based on the analysis of a publicly available data-set of audio recordings, this study proposes a technique that can detect the car approaching by low-frequency spectral audio signal analysis. The real-time acquired signal, while the bike is in motion, is compared to the detection of the background spectral noise obtained in static conditions of the bike.
The burgeoning field of computer vision applications and visual display devices has propelled the exploration of super resolution (SR) techniques, drawing attention from both academia and industry. Field programmable ...
详细信息
This paper introduces a smart approach to waste management through the integration of smart technologies. Our proposed system employs the ESP8266 Wi-Fi module to enable remote notification, ensuring efficient waste mo...
详细信息
This paper presents a tool to evaluate the latency of Robot Operating System (ROS) 2 applications called ChainAware ROS 2 Evaluation Tool (CARET). ROS 2 is designed to enhance the modularity of real-time robotic appli...
详细信息
ISBN:
(纸本)9798350396355
This paper presents a tool to evaluate the latency of Robot Operating System (ROS) 2 applications called ChainAware ROS 2 Evaluation Tool (CARET). ROS 2 is designed to enhance the modularity of real-time robotic applications, including self-driving software such as Autoware. To analyze the performance of ROS 2 applications, CARET supports measurement functionalities for the callback latency, node latency, communication time between nodes, and end-to-end latency. To calculate each latency, CARET provides tracepoints, an architecture file, information on tracepoint connections, and a message tracking functionality. Furthermore, CARET can visualize different types of latency, such as bottlenecks and lost message, to analyze ROS 2 applications. The experimental results demonstrate that CARET can successfully measure the end-toend latency of ***, which is ROS 2-based selfdriving software.
暂无评论