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Optimizing network Resilience with Segment Routing: A Comparative Study of SR TI-LFA and rLFA 4

Optimizing Network Resilience with Segment Routing: A Compar...

4th IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and computer engineering, MI-STA 2024

作者： Eluheshi, Adel Ali Mansour, Mahmud Saud, Najia Ben Libyan Academy Department of Electrical Engineering and Computer Tripoli Libya University of Tripoli Department of Network Tripoli Libya

ISBN: (纸本)9798350372632

network operators are confronted with the demanding requirements resulting from the evolution of IP networks. As a result, it has become necessary to provide rigorous Service Level Agreements (SLAs) that are in line with these requirements. However, traditional IP networks lack the necessary flexibility, scalability, and manageability to meet these demands. In order to address these limitations, the Segment Routing (SR) architecture has been developed. SR is based on source-routing and tunneling paradigms, which enable IP/MPLS and IPV6 networks to operate in a simplified and more scalable manner. The focus of this paper is on network protection (resiliency) using Topology Independent Loop-Free Alternatives Fast Re-Route (TI-LFA FRR) using MPLS as underly technology. SR overcomes the limitations of previous network protection mechanisms in terms of coverage and optimal path selection. To show the effectiveness of SR TI-LFA in comparison to its predecessor, Remote Loop-Free Alternate (rLFA), we have implemented various scenarios. These scenarios are designed to highlight the superior capabilities of TI-LFA. © 2024 IEEE.

关键词： network routing

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Fog-Removal in Single Image using Various Methods: A Survey 14

Fog-Removal in Single Image using Various Methods: A Survey

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14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023

作者： Jyothi, M. Nandini, B.M. Computer Network Engineering The National Institute of Engineering Mysuru India Department of Information Science & Engineering The National Institute of Engineering Mysuru India

The images which are taken in foggy weather/bad weather are not expressed clearly therefore they are not very comprehensible. The images that are taken in that environment will be reduced in quality to a great degree, the reason is that because of the scattering of light in the atmosphere will reduce the clarity and visibility of a single image. Because of fog, the images are in low contrast whereas in case the haze in the atmosphere will affect the clearness and precision of the image. The pictures taken in this condition will not only affect the visibility but also complicate the post-processing of the image required for the implementation of numerous computer vision algorithms. Hence it is important to eliminate fog from the image So, firstly density of fog is estimated and based on that, image defogging can be done. © Grenze Scientific Society, 2023.

关键词： Image reconstruction

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Dynamic Slot Allocation Protocol for Multi-Channel LoRa Communication 20

Dynamic Slot Allocation Protocol for Multi-Channel LoRa Comm...

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20th International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Chen, Chanokchon Lion, Suchaisri Jansang, Aphirak Jaikaeo, Chaiporn Phonphoem, Anan Tangtrongpairoj, Withawat Kasetsart University Intelligent Wireless Network Group Department of Computer Engineering Faculty of Engineering Bangkok Thailand

ISBN: (纸本)9798350310467

LoRa is a promising solution for long-range transmission with low power consumption, which is suitable for small vessel tracking systems. However, the LoRa is not designed for a scalable tracking system resulting in the most deficient performance. This paper proposes a dynamic time slot allocation protocol based on multi-channel LoRa communication. The protocol combines the idea of CSMA/CA Time Division Multiplexing and Frequency Division Multiplexing. This protocol has an adaption channel rate that chooses the appropriate channel for each device and a dynamic max slot mechanism that adjusts the number of max slots for each round. The experimental results on NS3 show that this protocol has better network performance in terms of average time to send all packets compared to general Static and Dynamic TDMA. This paper designs for small vessel tracking system based on multi-channel LoRa communication. © 2023 IEEE.

关键词： Time division multiple access

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A Cluster-Based OFDMA MAC Protocol using Carrier-Sensing Scheme for IEEE 802.11ax WLANs 14

A Cluster-Based OFDMA MAC Protocol using Carrier-Sensing Sch...

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14th International Conference on Ubiquitous and Future networks, ICUFN 2023

作者： Chen, Yen-Da Lin, Jia-Wei Hsueh, Mu-Hua Shih, Kuei-Ping Lunghwa University of Science and Technology Department of Computer Information and Network Engineering Taiwan Tamkang University Department of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9798350335385

Orthogonal Frequency Division Multiple Access (OFDMA) is utilized in wireless local area networks (WLANs) to improve channel utilization and increase network throughput. However, random transmissions by wireless stations can lead to Resource Unit Collision Problem (RUCP) and Hidden Node induced RUCP (HN-RUCP), significantly degrading network throughput. Therefore, this paper proposes a Cluster-based OFDMA MAC protocol using the Carrier-sensing scheme, CC-OFDMA, for dense WLANs. Simulation results conducted using MATLAB show that the CC-OFDMA MAC protocol outperforms related works in terms of transmission latency and collisions. © 2023 IEEE.

关键词： Frequency division multiple access

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Contract-Based Incentive Mechanisms for UAV networks in Covert Communications

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IEEE Transactions on Vehicular Technology 2025年第5期74卷 7378-7391页

作者： Tian, Wen Fan, Hao Liu, Guangjie Du, Miao Liu, Yinqiu Niyato, Dusit Han, Zhu Nanjing University of Information Science and Technology School of Electronic and Information Engineering Nanjing University of Information Science and Technology Key Laboratory of Intelligent Support Technology In Complex Environment Ministry of Education Nanjing210044 China Southeat University School of Computer Science and Engineering China Southeast University Key Laboratory of Computer Network and Information Integration Ministry of Education Nanjing China Nanyang Technological University School of Computer Science and Engineering 639798 Singapore University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

Covert communication is considered a promising technology for hiding transmission processes and activities from malicious eavesdropping. With the development of detection technology, the traditional point-to-point covert communication method cannot effectively guarantee the reliability of covert communication. In order to solve this problem, unmanned aerial vehicle (UAV) are widely adopted in covert communication as common relay equipment. However, the UAV maximizes its benefits by taking advantage of the information asymmetry between itself and the covert communication sender. Therefore, it is necessary to encourage UAV-assisted potential users (UPU) to transmit covert data honestly by designing an information asymmetry-based incentive mechanism. In this paper, we propose a UAV-assisted contract-theoretic (UACT) model to improve the covert communication performance, where UPU honestly transmits covert data and the throughput of UACT can be increased. Specifically, we first divide UPU into finite types and model the data transfer contract between the sender, UPU, and receiver. Then, the contract feasibility of UACT is derived with sufficient and necessary conditions. Finally, we analyze the contract optimization in the continuous case of UPUs. Numerical simulations show that the UACT can incentivize UPUs to transmit covert data through UAV assistance and make covert communication performance close to the information symmetry case. © 1967-2012 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Towards Robust Cyber Attack Taxonomies: A Survey with Requirements, Structures, and Assessment

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ACM Computing Surveys 2025年第8期57卷 1-36页

作者： Santos, Paulo Roberto Da Paz Ferraz Resende, Paulo Angelo Alves Gondim, João José Costa Drummond, André Costa Department of Computer Science University of Brasilia Brasilia Brazil C4I and Cyber Center George Mason University Fairfax United States GigaCandanga Association Brasilia Brazil Department of Electrical Engineering University of Brasilia Brasilia Brazil Institute of Computer and Network Engineering Technische Universität Braunschweig Braunschweig Germany

Cyber attacks have become a growing threat in today's interconnected society, and taxonomies play a crucial role in understanding and preventing these attacks. However, the lack of comprehensive assessment methods for evaluating attack taxonomies represents a significant gap in the literature, hindering their development and applicability. This article aims to address this gap by conducting a survey of 20 attack taxonomies published between 2011 and 2022 and evaluating them with a novel set of qualitative and quantitative assessment criteria, grounded in fundamental taxonomy requirements and key structural attributes. In pursuit of clear and objective assessment criteria, the authors investigated the main taxonomy properties in the literature, identifying dependencies and relationships. This investigation extracted the fundamental requirements for a relevant and widely accepted attack taxonomy in the cybersecurity community. Noteworthy structural aspects, such as organization, scheme, labeling, and approach, are also addressed, considering their impact on taxonomy effectiveness and applicability constraints. Finally, the article poses some open questions and challenges, along with suggestions for future research directions. © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Cyber attacks

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Research on intelligent perception of computer vision environment for autonomous driving in complex environment based on cloud computing and improved Bayesian algorithm 3

Research on intelligent perception of computer vision enviro...

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3rd International Conference on Electronic Information engineering and Data Processing, EIEDP 2024

作者： Xu, Wang Department of Network Engineering School of Computer Science Guangdong Neusoft Institute Guangdong Foshan528225 China

ISBN: (纸本)9781510680531

In the field of autonomous driving, vision-based environmental perception methods usually use monocular or multi-ocular cameras to capture images, and use computer vision technology to analyze images to complete perceptual tasks such as object recognition, target detection and tracking, semantic segmentation, three-dimensional reconstruction, and distance measurement. Where there is a lack of prior knowledge or relational structure, the application of existing methods is limited. A method for calculating similarity matching between azimuth and polarity eigenvectors of components is proposed, and 5 defects of common components are accurately detected. The experimental results show that the proposed algorithm can quickly and accurately locate and identify PCB components, and effectively detect the defects of different components of the circuit board, because information is only passed between tightly connected nodes, this approach fails to capture novel interactions between distant nodes. The way to solve this limitation is to introduce an attention layer with induced sparsity to find. Therefore, based on specific projects in the laboratory, this paper conducts in-depth research on the visual environment perception for automatic driving in complex environments, aiming at the actual needs of intelligent unmanned units for automatic driving on complex off-road road conditions, and the problems such as low accuracy and insufficient robustness of existing algorithms. © 2024 SPIE.

关键词： Autonomous vehicles

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Fuzzy C-Means Clustering Approach for Green IoT in Smart Cities 3

Fuzzy C-Means Clustering Approach for Green IoT in Smart Cit...

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3rd International Conference on Power, Control and Computing Technologies, ICPC2T 2024

作者： Hussein, Aya Ayad Abdulrazzak, Hazem N. Al-Iraqia University Department of Network Engineering Faculty of Engineering Baghdad Iraq Al-Rafidain University College Computer Communication Engineering Dept. Baghdad Iraq

ISBN: (纸本)9798350349207

Cluster-based routing or Hierarchical is a widely recognized approach with particular benefits in terms of scalability and communication efficiency. In Wireless Sensor networks supported IoT, the utilization of clustered routing is a cost-effective method of data collection and transmission, where nodes with the most energy remaining can be utilized to collect and transmit data. This paper proposed a soft Fuzzy C-Means Dynamic Clustering (FCM-DC) Approach. A new Cluster Head (CH) selection technique was presented also. The proposed model was compared with an existing cluster based routing protocol, LEACH protocol, and LEACH-C protocol. The proposed FCM-DC model reduce the packet delay about 16% in 50 nodes scenario and 86% in 100 nodes scenario compared with LEACH. © 2024 IEEE.

关键词： Smart city

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Development of Smart Mask System Integrated with Alert Detection and Vital-sign Measurement

Development of Smart Mask System Integrated with Alert Detec...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Ting, Wei-Lun Hsiao, Chun-Chieh Lee, Ren-Guey National Taipei University of Technology Department of Electronic Engineering Taipei Taiwan Lunghwa University of Science and Technology Department of Computer Information and Network Engineering Taoyuan Taiwan

ISBN: (纸本)9781665410205

This research focuses on enhancing worker safety in environments with high levels of TVOC gases, such as toluene, a neurotoxin. Traditional cartridge replacement methods, based on fixed intervals, lack precision and pose risks. We propose a novel approach using the SGP30 sensor to monitor cartridge effectiveness, aligned with PEL-TWA regulations. Our system triggers alerts when sensor readings exceed 10 ppm for toluene, 35 ppm for carbon monoxide, and 5000 ppm for carbon dioxide. Additionally, we incorporate physiological monitoring via Photoplethysmography (PPG) using the AFE4404 sensor to assess Heart Rate (HR) and Heart Rate Variability (HRV), alongside respiration monitoring with the D6F-P0010AM2 airflow sensor. Data from these sensors is transmitted via low-power Bluetooth to a mobile APP, enabling real-time monitoring of the wearer's condition. In case of cartridge failure or abnormal physiological readings, the APP triggers vibrations on the mask and automatically sends an SOS to the employer's server via UDP protocol, ensuring immediate intervention. This system aims to enhance occupational safety by reducing the risk of accidents and safeguarding worker well-being. © 2024 IEEE.

关键词： Photoplethysmography

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Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games 63

Conjectural Online Learning with First-order Beliefs in Asym...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Li, Tao Hammar, Kim Stadler, Rolf Zhu, Quanyan New York University Department of Electrical and Computer Engineering United States Kth Royal Institute of Technology Division of Network and Systems Engineering Sweden

ISBN: (纸本)9798350316339

Asymmetric information stochastic games (AISGs) arise in many complex socio-technical systems, such as cyberphysical systems and IT infrastructures. Existing computational methods for AISGs are primarily offline and can not adapt to equilibrium deviations. Further, current methods are limited to particular information structures to avoid belief hierarchies. Considering these limitations, we propose conjectural online learning (COL), an online learning method under generic information structures in AISGs. COL uses a forecaster-actorcritic (FAC) architecture, where subjective forecasts are used to conjecture the opponents' strategies within a lookahead horizon, and Bayesian learning is used to calibrate the conjectures. To adapt strategies to nonstationary environments based on information feedback, COL uses online rollout with cost function approximation (actor-critic). We prove that the conjectures produced by COL are asymptotically consistent with the information feedback in the sense of a relaxed Bayesian consistency. We also prove that the empirical strategy profile induced by COL converges to the Berk-Nash equilibrium, a solution concept characterizing rationality under subjectivity. Experimental results from an intrusion response use case demonstrate COL's faster convergence over state-of-the-art reinforcement learning methods against nonstationary attacks. © 2024 IEEE.

关键词： Cost functions

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