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检索条件"主题词=software algorithms"

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Post-Quantum Cryptography Integration to O-RAN

Post-Quantum Cryptography Integration to O-RAN

引用

Consumer Communications and Networking Conference, CCNC IEEE

作者： Abdullah Aydeger Engin Zeydan Josep Mangues Dept. of Electrical Engineering and Computer Science Florida Institute of Technology Melbourne FL USA Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) Barcelona Spain

ISBN: (数字)9798331508050

ISBN: (纸本)9798331508067

With its disaggregated and open interfaces, the Open Radio Access Network (O-RAN) architecture promises flexibility, innovation, and cost-effectiveness for future wireless networks. However, the increased reliance on software and open interfaces also introduces new security challenges. As the threat of quantum computing looms, the traditional cryptographic algorithms used in O-RAN will become vulnerable to potential attacks. This paper proposes the integration of Post-Quantum Cryptography (PQC) into O-RAN to enhance its security against post-quantum adversaries. We discuss the specific vulnerabilities of current O-RAN security mechanisms to quantum attacks and identify key areas where PQC can be applied, such as key exchange, authentication, and data protection. We present a framework for evaluating the suitability of different PQC algorithms for O-RAN and outline potential challenges and implementation considerations. By proactively integrating PQC into O-RAN, we aim to ensure the long-term security and resilience of this emerging network architecture in the era of quantum computing.

关键词： Technological innovation Quantum computing Wireless networks Scalability software algorithms Open RAN Network architecture software Radio networks Resilience

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FrEDDY: Modular and Efficient Framework to Engineer Decision Diagrams Yourself

FrEDDY: Modular and Efficient Framework to Engineer Decision...

引用

Design, Automation and Test in Europe Conference and Exhibition

作者： Rune Krauss Jan Zielasko Rolf Drechsler DFKI Bremen Germany University of Bremen / DFKI Bremen Germany

ISBN: (数字)9783982674100

ISBN: (纸本)9798331534646

The hardware complexity in electronic devices used by today's society has increased significantly in recent decades due to technological progress. In order to cope with this complexity, data structures and algorithms in electronic design automation must be continuously improved. Decision Diagrams (DDs) are an important data structure in the design and analysis of circuits because they allow efficient algorithms for their manipulation. The practical relevance of DDs leads to an ongoing quest for appropriate software solutions that enable working with different DD types. Unfortunately, existing DD software libraries focus either on efficiency or usability. Consequences are a disproportionately high effort for extensions or considerable loss of performance. To tackle these issues, a modular and efficient Framework to Engineer Decision Diagrams Yourself (FrEDDY) is proposed in this paper. Various experiments demonstrate that no compromise with regard to performance has to be made when using FrEDDY. It is on par with or clearly more efficient than established DD libraries.

关键词： software libraries Design automation software algorithms Circuits Europe Data structures software Hardware Complexity theory Usability

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Automatic Generation of Optimal Standard-Size Series of Engineering Products Using Modified Method For Calculating Total Cost of Ownership

Automatic Generation of Optimal Standard-Size Series of Engi...

引用

International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Vitaly S. Antipenko Nataliya S. Nikolaeva Moscow Automobile and Road Construction State Technical University (MADI) Moscow Russian Federation Bauman Moscow State Technical University Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

In order to create and re-equip modern production facilities, it is necessary, based on long-term technical and economic forecasting, to form an appropriate mathematical model that takes into account, among other things, the existing classifications of metal-cutting machines and the parts processed on them. Metal-cutting machines are currently multi-component structures with complex interrelations of their constituent elements. The variety of machines is great, they differ in their layouts, functions and sizes, but they are united by a common property: any machine can be considered as a system consisting of many ordered and metrically connected structural elements that are in certain functional interactions. In general, a mathematical model of any machine can be built using the so-called specific weight function, reflecting the structure of the standard-size series of machines and taking into account the cost characteristics of the specified machine series during their life cycle.

关键词： Power engineering Costs Power supplies software algorithms Layout Agricultural machinery Mathematical models software Production facilities Optimization

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Clustering Technique Based on ARSH-FATI for Data Transmission in WSN-IoT Healthcare System

Clustering Technique Based on ARSH-FATI for Data Transmissio...

引用

Multi-Agent Systems for Collaborative Intelligence (ICMSCI), International Conference on

作者： P. Vinoth Kumar R. Jayanthi S. Sivaranjani S. Pradeep Department of Electronics and Communication Engineering Nandha College of Technology Erode Tamilnadu India Department of Electronics and Communication Engineering M.Kumarasamy College of Engineering Karur Tamilnadu India Department of Electronics Engineering K.S.Rangasamy College of Technology Tiruchengode Namakkal India

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509835

This research study investigates the use of the Internet of Things in the health sector in terms of minimizing hospital visit costs, optimizing human resources, and enhancing the quality of healthcare. It tackles a crucial challenge in IoT-based e-health applications: the energy efficiency of battery-powered sensors. As the number of IoT sensors being used for the transmission of medical data is growing, concerns have been raised regarding the sustainability of sensor networks, which is highly dependent on battery life. A new technique, namely ARSH-FATI-based group selection, is proposed to extend the network lifespan. The ARSH-FATI algorithm combines global and local search strategies to maximize network longevity and balance performance parameters. In the CH selection process, the algorithm considers workload, residual energy, and communication distance parameters. Simulations with Python software show that the proposed ARSH-F ATI algorithm obtained a Packet Delivery Ratio (PDR) of 86%, which is almost a little lower value than that of the existing Particle Swarm Optimization (PSO) algorithm, which showed a PDR of 88% for a network of 400 sensor nodes. The outcomes of the proposed algorithm are promising and may provide a viable solution to improve the energy efficiency and lifespan of IoT networks in healthcare applications.

关键词： Wireless sensor networks Energy consumption software algorithms Clustering algorithms software Energy efficiency Sensors Data communication Sustainable development Python

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Research on Heterogeneous Edge Server Deployment Strategy Based on Traffic Prediction

Research on Heterogeneous Edge Server Deployment Strategy Ba...

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2025 2nd International Conference on algorithms, software Engineering and Network Security (ASENS)

作者： Xinyu Sun Bo Wang Yaoli Xu Software College Zhengzhou University of Light Industry Zhengzhou China

ISBN: (数字)9798331520298

ISBN: (纸本)9798331520304

Mobile edge computing (MEC), as an emerging computing paradigm, significantly enhances computational efficiency and reduces latency. In this paper, we address the heterogeneous server deployment problem in MEC. Leveraging historical traffic data from base stations, we employ the Prophet model to predict future network traffic. Based on these predictions, we propose a hybrid heuristic algorithm, PSA, which integrates Particle Swarm Optimization (PSO) and Simulated Annealing (SA). Experimental results demonstrate that our approach effectively reduces the average latency by 1–1.5 ms while achieving superior performance in terms of deployment cost and load balancing.

关键词： Base stations Costs Heuristic algorithms Computational modeling software algorithms Predictive models Prediction algorithms Load management Data models Servers

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Uncovering the Challenges: A Study of Corner Cases in Bug-Inducing Commits

Uncovering the Challenges: A Study of Corner Cases in Bug-In...

引用

IEEE International Conference on software Analysis, Evolution and Reengineering (SANER)

作者： Atakan Şerifoğlu Eray Tüzün Computer Science Bilkent University Ankara Turkey

ISBN: (数字)9798331535100

ISBN: (纸本)9798331535117

In software development, accurately identifying bug-inducing commits (BICs) is crucial for maintaining code integrity and ensuring the reliability of software systems. The complexities involved in pinpointing the exact commits responsible for bugs necessitate a thorough investigation of the underlying issues and limitations of existing tools and algorithms. This study investigates and identifies corner cases in BIC identification, clarifying definitions and examining issues with existing algorithms and tools. By analyzing these cases, we aim to reveal challenges faced by current methods and propose insights for future improvements. We evaluated the SZZ algorithm and two large language models, GPT-40 and Llama 3.1, using a curated repository of corner-case bugs with detailed reports. This setup allowed us to assess the strengths and weaknesses of both traditional algorithms and LLMs. The SZZ algorithm achieved a recall of 0.8 and a precision of 0.36, resulting in an F1 score of 0.5 for corner cases and a recall of 1 and a precision of 0.5 for non-corner cases with an F1 score of 0.67. In comparison, the LLMs showed varied performance: for corner cases, Llama had an MRR of 0.7, while GPT scored 0.5. For non-corner cases, both models performed better, with an MRR of 0.875. Corner cases in BIC identification expose limitations in current methods, emphasizing the need for improved approaches to accurately handle these challenges.

关键词： Location awareness Codes Large language models software algorithms Computer bugs Debugging software systems software reliability Complexity theory software development management

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Coverage Metrics for T-Wise Feature Interactions

Coverage Metrics for T-Wise Feature Interactions

引用

International Conference on software Testing, Verification, and Validation, ICST

作者： Sabrina Böhm Tim Jannik Schmidt Sebastian Krieter Tobias Pett Thomas Thum Malte Lochau University of Ulm Germany University of Ulm Paderborn University Germany TU Braunschweig Germany Karlsruhe Institute for Technology Germany University of Siegen Germany

ISBN: (数字)9798331508142

ISBN: (纸本)9798331508159

software is typically configurable by means of compile-time or runtime variability. As testing every valid configuration is infeasible, T-Wise sampling has been proposed to systematically derive a relevant subset of the configurations for testing to cover interactions among t features. Practitioners started to apply T-Wise sampling algorithms, but can often only test samples partially due to restricted resources and compare those partial samples based on their T-Wise coverage. However, there is no consensus in the literature on how to compute the T-Wise coverage in the literature. We propose the first systematic framework to define coverage metrics for T-Wise feature interactions. These metrics differ in the features and feature interactions being considered. We found evidence for at least six different metrics in the literature. In an empirical evaluation, we show that for a partial sample the coverage differs up to 21 % and for some metrics only half of the feature interactions need to be covered. As a long-term impact, our work may help to improve the efficiency and effectiveness of both, T-Wise sampling and coverage computations.

关键词： Measurement software testing Systematics Runtime software algorithms System software Computational efficiency

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Research on Key Technologies of Cooperative Spectrum Sensing Based on Game Theory

Research on Key Technologies of Cooperative Spectrum Sensing...

引用

Consumer Electronics and Computer Engineering (ICCECE), 2021 IEEE International Conference on

作者： Rong Wang Dongtao Wang Hunan Automotive Engineering Vocational University Zhuzhou China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

In response to the spectrum scarcity issue caused by industrial development, a two-layer game approach is proposed to improve spectrum utilization. Due to the selfishness of secondary users (SUs), each SU needs to consider their sensing attitude (i.e., whether to participate in sensing) and which sensing alliance to join. Additionally, the application of energy harvesting (EH) technology may intensify the non-sensing attitude among SUs. To protect the spectrum, a penalty function is introduced to increase the probability of cooperation. This method optimizes the network's detection and false alarm probabilities by continuously adjusting the sensing attitudes and choosing sensing alliances of SUs, aiming to improve throughput. Simulation results using MATLAB software show that compared to traditional methods, the proposed algorithm increases throughput by 27.2%.

关键词： Simulation software algorithms Games Throughput software Mathematical models Sensors Steady-state Energy harvesting Radio spectrum management

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Lightweight Convolutional YOLOv5 for Real-Time Object Detection in Infrared Stereo Images

Lightweight Convolutional YOLOv5 for Real-Time Object Detect...

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2025 2nd International Conference on algorithms, software Engineering and Network Security (ASENS)

作者： Weishen Li Yuqing Lao Xiao Zhong Jianya Wang Wenxu Zhao Hao Tang School of Transportation and Economic Management Guangdong Communication Polytechnic Guangzhou China School of International Education Yellow River Conservancy Technical Institute Kaifeng China

ISBN: (数字)9798331520298

ISBN: (纸本)9798331520304

Since under low-illumination and high-interference environments, infrared binocular images still have more accurate depth and target information, how to effectively achieve real-time and accurate object detection on the embedded platform. In this research, we propose an improved YOLOv5-based model which is the fusion of a lightweight convolution backbone network and a multi-scale attention fusion-detection head, which is composed of two parts: a feature extraction stage is designed to introduce separable convolution and group normalization to reduce the number of parameters and accelerate the inference speed; and in the detection stage, a deep-learnable dual-channel attention module (channel attention + spatial attention) is used to fuse and weight the multi-scale features of infrared left and right eye images. At last, with the high detection accuracy, the model complexity and inference delay were greatly decreased, which is applicable to the application scenarios with high requirement for system resources and real-time performance. Experimental results demonstrate that the proposed lightweight convolutional YOLOv5 model can strike a balance between excellent accuracy and real-time performance on resource-constrained platforms for infrared binocular image object detection.

关键词： YOLO Accuracy Head Convolution software algorithms Network security Feature extraction Real-time systems Inference algorithms software engineering

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Exploration of Image Privacy Protection Technology Using Generative Adversarial Networks

Exploration of Image Privacy Protection Technology Using Gen...

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2025 2nd International Conference on algorithms, software Engineering and Network Security (ASENS)

作者： Yue Shang Shihezi University China

ISBN: (数字)9798331520298

ISBN: (纸本)9798331520304

As digital images spread widely, privacy protection has become a critical issue. This study focuses on exploring the application of Generative Adversarial Networks (GANs) in image privacy protection. By deeply analyzing the principles of GANs, we innovatively introduce differential privacy technology to construct a DP-GANs model. Experimental results using public image datasets show that this model can generate realistic substitute images, effectively protecting privacy. Not only does it demonstrate potential applications in fields such as healthcare and security, but it also significantly enhances image usability, injecting new momentum into the development of privacy protection technologies and facilitating the secure circulation of image data

关键词： Hands Data privacy Privacy Differential privacy Visualization software algorithms Generative adversarial networks Protection Usability software engineering

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