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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Dai, Xuchen Zhang, Biao Zhang, Yifan Zhang, Lanjie Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China Ministry of Education Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Beijing100101 China

ISBN: (纸本)9798350375909

In this paper, the sea surface wind speed (SSWS) retrieval accuracy for HaiYang-2C (HY-2C) passive microwave radiometer under the severe weather such as typhoon is evaluated. Based on the observation data of HY-2C, this study explores the influence of brightness temperature (TB) observed by microwave radiometer on sea surface wind speed retrieval under typhoon conditions. In the case of typhoon precipitation, the attenuation of the atmosphere to the high frequency channel is stronger, which makes the sea surface information observed by the microwave radiometer very weak. Therefore, we mainly select the TB of horizontal polarization and vertical polarization observation of 6.9GHz and 10.7GHz channels to carry out the study of typhoon wind speed retrieval. This paper constructs a matching data set based on the TB observed by HY-2C passive microwave radiometer, HY-2C L2B wind product and H*wind reanalysis wind field data in October and November 2020. The maximum differences of spatial and temporal were set as 25km and 30minutes, respectively. Then, the typhoon wind speed retrieval model based on LightGBM is established. We use the data of October 2020 to train the model and the data of November 2020 to test model performance. Comparing with the H*wind reanalysis wind field data, the bias and root-mean-square error of retrieved wind speed are 0.15m/s and 1.26m/s, respectively. In addition, the correlation coefficient is 0.90, indicating that the retrieved wind speed has a good consistency with H*wind data. © 2024 IEEE.

关键词： Hurricanes

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Aspects of Measurement Data Acquisition and Optimisation in the Energy Transformation of Industrial Facilities 21st

Aspects of Measurement Data Acquisition and Optimisation in ...

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21st Polish control Conference, PCC 2023

作者： Korus, Lukasz Jablonski, Andrzej Faculty of Information and Communication Technology Department of Control Systems and Mechatronics Wroclaw University of Science and Technology Wroclaw Poland

ISBN: (纸本)9783031351693

This article deals with the problem of energy management, understood as the effort to minimise the energy consumption in the industrial facilities by continuous improvement approach. Due to the fact that multi-level Decentralised control Systems (DCS), with the main focus on optimising energy consumption in small and medium enterprises are still rarely used, the continuous improvement approach based on Deming-like cycle using data collected by Data Acquisition and Presentation Systems from measuring devices is often used in practice. This paper presents a high-level process used in companies to drive energy management in an efficient way, and the main objectives defined for such an approach. It also provides more practical information on infrastruc-ture configurations, IT components and applications of data collection and presentation systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Energy utilization

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Multi-objective Optimization in COVID19 Mitigation 21st

Multi-objective Optimization in COVID19 Mitigation

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21st Polish control Conference, PCC 2023

作者： Rafajlowicz, Wojciech Department of Control Systems and Mechatronics Faculty of Information and Communication Technology Wroclaw University of Science and Technology Wroclaw Poland

ISBN: (纸本)9783031351723

In this paper an optimization approach to decision process in COVID-19 mitigation is presented. The model is explained along with short information about multiobjective optimization. Finally results are shown on the tradeoffs faced in COVID-19 pandemics. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Multiobjective optimization

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Optimizing mmWave UAV Networks: Mobility-Aware Deployment and Resource Allocation 100

Optimizing mmWave UAV Networks: Mobility-Aware Deployment an...

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100th IEEE Vehicular technology Conference, VTC 2024-Fall

作者： Li, Sicong Yoshii, Kazutoshi Shimamoto, Shigeru Ho, Tu Dac Waseda University Dept. of Communications and Computer Engineering Tokyo Japan Norwegian University of Science and Technology Dept. of Information Security and Communication Technology Trondheim Norway

ISBN: (纸本)9798331517786

Application of Unmanned Aerial Vehicles (UAVs) as small airborne base stations is gradually becoming a research hotspot in the field of wireless communications. With the flexible deployment, wide coverage and low cost, UAV communications show great potential in the fields of emergency rescue, environmental monitoring and military operations. In particular, the easier availability of line-of-sight (LOS) links for UAVs makes its combination with millimetre wave (mmWave) technology significantly enhance the communication bandwidth and data transfer rate. However, the very limited coverage of mmWave communications greatly affects the actual data rates provided by small aerial base stations of mmWave UAVs, especially considering user movement on the ground. In this paper, we study the joint optimisation problem of UAV deployment, user association, spectrum resource allocation in millimetre-wave heterogeneous networks, and explore the impact of different user movement models on system performance. Given that this problem is NP-hard, our paper proposes an MCR-SAC method to maximize the network's total throughput. Simulation results demonstrate an average 18% improvement in total transmission rate compared to the conventional. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Survivability Assessment of 5G Network Slicing During Massive Outages 13

Survivability Assessment of 5G Network Slicing During Massiv...

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13th International Workshop on Resilient Networks Design and Modeling, RNDM 2023

作者： Gajić, Marija Lange, Stanislav Vatten, Trond Furdek, Marija Heegaard, Poul E. Ntnu - Norwegian University of Science and Technology Department of Information Security and Communication Technology Norway Chalmers University of Technology Department of Electrical Engineering Sweden

ISBN: (纸本)9798350327359

Mobile networks support variety of heterogeneous services, including the emergency and mission-critical ones. The next generation of mobile networks introduces the concept of network slicing where different services can have a dedicated, logically separated virtual network running over a shared physical infrastructure. Each slice may have a specific set of functional and non-functional requirements including performance, security, resilience, and survivability. Given the importance of emergency services during massive outages caused by a natural disaster, the network operators need an efficient way to evaluate the performance of the sliced network in such adverse circumstances. In this paper, we describe how survivability quantification framework can be applied to assess and compare the performance of different slicing configurations during and after massive outages. We demonstrate our proposal in a simplified use-case scenario where the performance metric for each stage of the recovery is represented with delay and throughput of the clients at a sliced, shared bottleneck. The metrics are acquired from OMNeT++ simulations. Survivability is then obtained from an analytical model and the time until the critical services (for the first responders) are recovered is of particular interest. In the scenario we consider 8 application types, 4 priority levels, and 5 approaches to map clients to slices. The results show significant performance variations between different slicing configurations, both for the critical and non-critical applications and thus highlight the importance of having a slicing configuration optimally tailored to the use case. © 2023 IEEE.

关键词： Wireless networks

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Multi-Party Privacy Policy Management in the Context of Health Monitoring: An Exploratory Study 23

Multi-Party Privacy Policy Management in the Context of Heal...

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8th International Conference on Sustainable information Engineering and technology, SIET 2023

作者： Sun, Luyi Yeng, Prosper Fauzi, Muhammad Ali Khatiwada, Pankaj Yang, Bian Department of Information Security and Communication Technology Norwegian University of Science and Technology Gjøvik Norway Faculty of Computer Science Brawijaya University Malang Indonesia

ISBN: (纸本)9798400708503

There is an increasing number of assisted living technologies and health monitoring systems to provide electronic health services and help patients and the elderly stay at home longer. It ensures users' safety and reduces caregivers' workload. Regardless of the benefits that health monitoring systems have brought to users, they are in the face of privacy challenges, which can influence users' adoption of these technologies. One of the challenges is multi-party privacy policy management. As different parties may have different considerations in the same scenario, they can make different privacy decisions. Therefore, a privacy policy management scheme is required to deal with conflicts. In this paper, we present the work of a user study with the scope of collecting several participants' opinions on multi-party privacy policy management in the context of health monitoring. One focus group and eight semi-structured interviews were conducted. Our questions for participants adopt strategies from online social networks. After that, we discuss participants' views on privacy decision conflict resolution in different health conditions and whether a recommendation system is needed to help with multi-party privacy policy management. We try to make prioritization based on participants' views and the emergency level of events in different scenarios, increase technology adoption, and ensure health services are better delivered. The results reflect the importance of adopting flexible strategies like majority weighted voting in different health conditions, which serves as a basis for multi-party privacy policy scheme development. © 2023 Owner/Author.

关键词： Social networking (online)

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Radio Signal Modulation Pattern Recognition Based on Time-Frequency Adaptive Decomposition and Hybrid Neural Network

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IEEE Internet of Things Journal 2025年

作者： Dai, Shaogang Xu, Jianwei Zhou, Huaji Hangzhou Dianzi University School of communication engineering Hangzhou310018 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314000 China

Automatic modulation classification of electromagnetic signals has an important role in the field of signal processing. The current methods for identifying the modulation pattern of radio signals mainly used end-to-end neural network models, which suffered from the problems such as network redundancy and non-interpretability. In order to solve the above problems, this paper proposes a radio signal modulation pattern recognition method based on time-frequency adaptive decomposition and hybrid neural network. The discrete wavelet decomposition is used to decompose the original radio signals into adaptive high and low frequencies. Then feed the resulting high and low frequency portions into a multi-channel hybrid neural network (MHNN) for training to obtain the classification results. In the discrete wavelet decomposition process, the number of decomposition layers and the decomposition threshold are determined adaptively according to the difference of SNRs. In the design of multi-path hybrid neural network structure, the signal characteristics of high and low frequency parts are considered comprehensively. The network channels with different convolutional kernel scales and different layers are constructed to reduce the number of model parameters and training time while ensuring the classification accuracy. Using RadioML2016.10a dataset for experiments, the recognition accuracy of MHNN is prior to the end-to-end deep learning methods, which can achieve the accuracy of 92.30% and the F1 of 91.84% when SNR=2dB. It shows that the proposed radio signal modulation pattern recognition method based on the time-frequency adaptive decomposition and hybrid neural network can balance the accuracy and lightweight. Moreover, it has certain interpretability for the original input data, distinguishing the main body and details of the signal by dividing the signal into high and low frequencies, which provides a new idea for the interpretability of deep convolutional neural networks. ©

关键词： Signal modulation

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Cybersecurity Awareness for Small and Medium-Sized Enterprises (SMEs): Availability and Scope of Free and Inexpensive Awareness Resources 1

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8th Workshop on the security of Industrial control Systems and of Cyber-Physical Systems, CyberICPS 2022, 6th International Workshop on security and Privacy Requirements Engineering, SECPRE 2022, 4th Workshop on security, Privacy, Organizations, and Systems Engineering, SPOSE 2022, 3rd Cyber-Physical security for Critical Infrastructures Protection, CPS4CIP 2022, 2nd International Workshop on Cyber Defence Technologies and Secure communications at the Network Edge, CDT and SECOMANE 2022, 1st International Workshop on Election Infrastructure security, EIS 2022 and 1st International Workshop on System security Assurance, SecAssure 2022 held in conjunction with 27th European Symposium on Research in Computer security, ESORICS 2022

作者： Chaudhary, Sunil Gkioulos, Vasileios Goodman, David Department of Information Security and Communication Technology Norwegian University of Science and Technology Gjøvik Norway Trust in Digital Life Brussels Belgium

ISBN: (数字)9783031254604

ISBN: (纸本)9783031254598

Small and medium-sized enterprises (SMEs) are considered the backbone of Europe’s economy. However, SMEs are often bounded by resource constraints that also limit their cybersecurity posture. In such circumstances, SMEs could potentially benefit from the free and inexpensive cybersecurity awareness (CSA) resources produced and distributed by various public and private entities. SMEs can utilize these affordable resources to elevate the knowledge and skills of employees and transform their cybersecurity attitudes and behavior. The security-conscious employees can serve as the organization’s first line of defense against cyber-attacks and -crimes. However, prior to employing such awareness resources, it would require answering the question "how abundance and well-suited are the (affordable) awareness resources for SMEs?" To address this concern, we used an exploratory approach and examined the awareness resources from 71 sources chosen after the review of 938 potential sources. Since the primary audience of the study was European SMEs, most of the sources analyzed come from European organizations. Based on our findings, while these affordable awareness resources could benefit SMEs, they do require some adjustment to better meet the requirements and situations of SMEs. Furthermore, the awareness resources exclusively targeting SMEs and the diverse business areas SMEs serve, are insufficient. As a result, all involved entities, at the national and European levels, are encouraged to produce and distribute more localized awareness resources that are affordable and best match the demands and business areas of SMEs. Finally, the awareness resources should also include appropriate features for interested users to submit their feedback. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Cybersecurity

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Hate Speech Detection in Code-Mixed Datasets using Pretrained Embeddings and Transformers

Hate Speech Detection in Code-Mixed Datasets using Pretraine...

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2024 International Conference on Frontiers of information technology, FIT 2024

作者： Sohail, Tooba Aiman, Atiqa Hashmi, Ehtesham Imran, Ali Shariq Daudpota, Sher Muhammad Yayilgan, Sule Yildirim Department of Computer Science Sukkur IBA University Sukkur Pakistan Department of Information Security and Communication Technology Norwegian University of Science and Technology Gjøvik Norway Department of Computer Science Norwegian University of Science and Technology Gjøvik Norway

ISBN: (纸本)9798331510503

Social media platforms are more accessible than needed in this digital era. People are given the freedom to express their thoughts, their emotions, and their opinions. And this freedom is being exploited negatively. It has adverse effects on people’s respect and hurts their well-being when it is dealt with with no responsibility. This freedom can harm or destroy individuals or communities if not supervised. The majority of the research is done on language with resources like English. However, Roman Urdu is still neglected due to its little or nearly no resources. With over 100 million Urdu speakers worldwide, this results in the generation of a huge amount of Roman Urdu content on various social media platforms. This study has employed different ML models with language-specific embeddings on three datasets comprising 5000, 170991, and 30000 instances respectively. Furthermore, we also implemented transformer-based models, including BERT, XLNET, Roberta, and multilingual transformer mBert. XLNET outperformed other models with an accuracy of 96%. In the concluding phase, we employed interpretability modeling with LIME. To the best of our knowledge, no other studies have utilized interpretability for detecting hate speech in Roman Urdu. © 2024 IEEE.

关键词： Embeddings

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Detecting and Corrupting Convolution-based Unlearnable Examples 39

Detecting and Corrupting Convolution-based Unlearnable Examp...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Li, Minghui Wang, Xianlong Yu, Zhifei Hu, Shengshan Zhou, Ziqi Zhang, Longling Zhang, Leo Yu School of Software Engineering Huazhong University of Science and Technology China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Computer Science and Technology Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia

ISBN: (纸本)157735897X

Convolution-based unlearnable examples (UEs) employ class-wise multiplicative convolutional noise to training samples, severely compromising model performance. This fire-new type of UEs have successfully countered all defense mechanisms against UEs. The failure of such defenses can be attributed to the absence of norm constraints on convolutional noise, leading to severe blurring of image features. To address this, we first design an Edge Pixel-based Detector (EPD) to identify convolution-based UEs. Upon detection of them, we propose the first defense scheme against convolution-based UEs, COrrupting these samples via random matrix multiplication by employing bilinear INterpolation (COIN) such that disrupting the distribution of class-wise multiplicative noise. To evaluate the generalization of our proposed COIN, we newly design two convolution-based UEs called VUDA and HUDA to expand the scope of convolution-based UEs. Extensive experiments demonstrate the effectiveness of detection scheme EPD and that our defense COIN outperforms 11 state-of-the-art (SOTA) defenses, achieving a significant improvement on the CIFAR and ImageNet datasets. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

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