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检索条件"机构=Dep. of Electrical Engineering and Computer Science"

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Genetic Optimization Techniques for Enhancing Web Attacks Classification in Machine Learning

Genetic Optimization Techniques for Enhancing Web Attacks Cl...

引用

2023 IEEE International Conference on dep.ndable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Jaradat, Ameera S. Nasayreh, Ahmad Al-Na'amneh, Qais Gharaibeh, Hasan Al Mamlook, Rabia Emhamed Yarmouk University Dep. of Computer Science Irbid Jordan Yarmouk University Dep. of Computer Science Irbid211633 Jordan Applied Science Private University Dep. of Cyber Security and Cloud Computing Amman Jordan Trine University Dep. of Business Administration IN United States University Zawia Department of Industrial Engineering Tripoli Libya

ISBN: (纸本)9798350304602

Web-based applications are now the preferred approach for delivering a variety of services via the Internet. As a result of the globalization of commerce, web applications have been growing quickly and becoming increasingly complicated. Such applications have a significant security vulnerability in the online environment since they were developed with little experience and without testing or validation. Numerous attackers use this security vulnerability to take control of the program, modify the data, and steal the most crucial information. They may also access all internal, unauthorized items. This work presents a hybrid model that classifies website attacks as benign through the integration of four machine learning algorithms: gradient boost (GB), multilayer perceptron (MLP), logistic regression (LR) and K nearest neighbor (KNN). The work dep.oyed Tree-based Pipeline Optimization Tool (TPOT) that utilizes the Genetic algorithm (GA) to extract the optimal parameter and consequently enhance the model performance. The model underwent evaluation utilizing a data set from the Canadian Institute 2023 that contains various types of attacks. Among these algorithms, GB achieved the best accuracy scores of 95%, 94% and 95% for accuracy, recall and F1-score, respectively. © 2023 IEEE.

关键词： Genetic algorithms

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Evaluating the Impact of Injected Mobility Data on Measuring Data Coverage in CrowdSensing Scenarios

Evaluating the Impact of Injected Mobility Data on Measuring...

引用

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Kocian, Alexander Girolami, Michele Capoccia, Stefano Foschini, Luca Chessa, Stefano University of Bologna Department of Computer Science and Engineering Bologna Italy ISTI-CNR Italian National Council of Research Pisa Italy University of Pisa Dep. of Computer Science Italy

ISBN: (纸本)9798350351255

A major weakness of Mobile CrowdSensing Platforms (MCS) is the willingness of users to participate, as this implies disclosing their private data (for example, concerning mobility) to the MCS platform. In the effort to enforce data privacy in the creation of mobility coverage maps using an MCS platform, recent work proposes the use of a spatially distributed approach that, however, is vulnerable to data injection attacks. In this contribution, we define and implement a progressive attacker model following a statistical approach. We propose a novel mitigation strategy based on unsupervised anomaly detection. Accessing the coverage performance with real-world mobility data indicates that the mean value of the attacker's profile determines the probability of being revealed. In particular, we are able to identify the attacker and filter out the data injected by the attackers with high precision. © 2024 IEEE.

关键词： Differential privacy

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OFF-Board EV Charger Based on Interleaved AC-DC Boost Converter

OFF-Board EV Charger Based on Interleaved AC-DC Boost Conver...

引用

2024 International Telecommunications Conference, ITC-Egypt 2024

作者： Diab, Noher M. Abdelsalam, Ibrahim Hamad, Mostafa S. Technical Electricity Market Affairs Dep. Cairo Egypt College of Engineering & Technology Arab Academy for Science Technology & MaritimeTransport Electrical and Control Engineering Dep. Cairo Egypt Arab Academy for Science Technology and Maritime Transport Research and Innovation Center Alamein51718 Egypt

ISBN: (纸本)9798350351408

This paper presents an adaptable modular three-phase off-board electric vehicle (EV) fast charger. Each phase of the utility supplies is connected to a single-phase AC-DC module, and the DC output of each module is parallel connected. each AC-DC module is composed of 3-level interleaved boost converters (front-end converter) and galvanic isolation with a single active bridge (back-end converter) with a resonant circuit, to assure soft switching by employing zero voltage transition (ZVT). The proposed control strategy has been implemented to remove the harmonic component and maintain a stable charging current. Besides, keep the power factor close to unity. The proposed EV charger is a suitable fast charging service for EVs in less time with low distortion, less device stress, and an efficient way. MATLAB/SIMULINK Simulation test results of the proposed system are also presented, validating the proposed topology. © 2024 IEEE.

关键词： Resonant circuits

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LEO Satellite Authentication using Physical Layer Features with Support Vector Machine 11

LEO Satellite Authentication using Physical Layer Features w...

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11th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022

作者： Abdrabou, Mohammed Gulliver, T. Aaron University of Victoria Dep. of Electrical and Computer Engineering VictoriaBC Canada

ISBN: (纸本)9781665460309

To overcome terrestrial network coverage limitations, low-earth orbit (LEO) satellites aim to provide worldwide connectivity for sixth generation (6G) networks. However, LEO satellites are vulnerable to spoofing attacks. To overcome this limitation, physical layer authentication (PLA) can be employed to provide effective satellite authentication by utilizing physical features. In this paper, an adaptive PLA scheme is proposed using a single-class classification support vector machine (SCC-SVM) with received power (RP) and Doppler frequency spread (DS) features. The proposed scheme is evaluated for on-the-pause satellite communication (OTPSC) systems. The results obtained show that using both RP and DS as features provides better authentication performance than when they are used individually. © 2022 IEEE.

关键词： Authentication

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Heart disease recognition based on extended ECG sequence database and deep learning techniques

Heart disease recognition based on extended ECG sequence dat...

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2022 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2022

作者： Avanzato, Roberta Beritelli, Francesco University of Catania Dep. of Electrical Electronic and Computer Engineering Catania Italy

ISBN: (数字)9798350396454

ISBN: (纸本)9798350396454

Mortality caused by cardiovascular diseases (CVDs) has been steadily increasing over the years. For this reason, numerous studies have addressed this issue, introducing innovative techniques for automatic detection of heart disease using ECG/PCG signals and convolutional neural networks (CNNs). The present paper proposes a system for automatic diagnosis of heart disease (five pathology classes) using electrocardiogram (ECG) signals and CNNs. Specifically, ECG signals are passed directly to an appropriately trained CNN network. The database comprises a combination of two public datasets: MIT-BIH Arrhythmia and MIT-BIH Atrial Fibrillation database. The results obtained from testing the network show average classification accuracy of about 93% when a 2second ECG signal is fed to the network;conversely, applying a post-processing filter results in about 100% accuracy after around 38 seconds. © 2022 IEEE.

关键词： Signal detection

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Threshold-Based Physical Layer Authentication for Space Information Networks 11

Threshold-Based Physical Layer Authentication for Space Info...

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11th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022

作者： Abdrabou, Mohammed Gulliver, T. Aaron University of Victoria Dep. of Electrical and Computer Engineering VictoriaBC Canada

ISBN: (纸本)9781665460309

Space information networks (SINs) have been proposed to improve terrestrial network coverage and reliability for worldwide access to internet-based services. SINs rely on low-earth orbit (LEO) satellites to provide these services. However, the SIN architecture poses greater authentication concerns, such as spoofing attacks, than traditional networks. Hence, an adaptive physical layer authentication (PLA) scheme is proposed in this paper to provide effective authentication for LEO satellites. This scheme employs hypothesis testing with a threshold to dis-tinguish between legitimate and illegitimate satellites using the Doppler frequency spread (DS) and received power (RP) as characteristics. The proposed approach is evaluated for on-the-move satellite communication (OTMSC) systems. The results obtained show that using the RP and DS as characteristics provides high authentication performance. © 2022 IEEE.

关键词： Orbits

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An Enhanced Subject-Indep.ndent Approach for Hand-Based Micro Activities Recognition

An Enhanced Subject-Independent Approach for Hand-Based Micr...

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Omni-layer Intelligent Systems (COINS), International Conference on

作者： Florenc Demrozi Fadi Al Machot Dep. of Electrical Engineering and Computer Science University of Stavanger Norway Dep. of Data Science Norwegian University of Life Sciences Norway

ISBN: (数字)9798350349597

ISBN: (纸本)9798350349603

Human activity recognition (HAR) is crucial in various fields, including healthcare, assistive technologies, and human-computer interaction. Recognizing hand-based micro activities presents a unique challenge due to their complexity and variability. In this paper, we propose a novel HAR methodology to identify 24 distinct hand-based Activities of Daily Living (ADLs) using data from a wrist-weared inertial sensor. Our approach, tested on a dataset of 30 participants, employs a unique two- level segmentation and lightweight machine-learning model to handle the complex dynamics of micro-ADLs. The experimental outcomes, showcasing an overall accuracy of 84% and precision, recall, and F1-Scores above 83% underscore the method's efficacy and subject-indep.ndent reliability compared to the existing literature on micro-ADL recognition.

关键词： Human computer interaction Inertial sensors Tiny machine learning Medical services Assistive technologies Complexity theory Human activity recognition

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Studying Risks of Hybrid Reengineering on Air-Transportation Systems Management 'A Case Study on Jordanian Civil Aviation Regulatory Commission (CARC)' 24

Studying Risks of Hybrid Reengineering on Air-Transportation...

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24th International Arab Conference on Information Technology, ACIT 2023

作者： Al Refai Mohammed, N. Taani, M.K. Otoom, Ahmed Ali Samara, Ghassan Hanandeh, S.E. Khafajeh, Hayel Zarqa University Software Engineering Dep. Zarqa Jordan Applied Science Private University Cybersecurity and Cloud Computing Dep. Amman Jordan Zarqa University Department of Computer Science Zarqa Jordan Zarqa University Artificial Intelligence Dep. Zarqa Jordan

ISBN: (纸本)9798350384307

This study examines decision-making in software re-engineering within businesses, focusing on the challenges and considerations involved. Financial constraints, time, and staff efforts are critical factors in these decisions. The study identifies difficulties faced by top-level management with legacy systems, existing systems, underused systems, and packaged software due to user resistance and customer dissatisfaction. The primary goal of the study is to assess the importance of software quality factors, especially from the users' perspective, in making re-engineering decisions. It uses the ISO 9126 Model to analyze quality elements in the case study software, aiming to provide guidance for deciding whether to proceed with re-engineering. The study explores functionality, reliability, usability, efficiency, maintainability, and portability as factors influencing re-engineering decisions, based on the ISO 9126 model. To understand user interactions and program performance, the study used unstructured participant observation in the case study software, highlighting the challenges faced by top management due to user resistance. These findings were further confirmed through face-to-face interviews with software users and dep.rtment employees, offering insights into their perspectives on software quality elements. The results reveal that, despite some flaws, the system has valuable features and capabilities. Most employees express a desire to undergo re-engineering to enhance service quality, align with ISO 9126 standards, and leverage the expertise of competent staff for re-engineering activities. © 2023 IEEE.

关键词： customer dissatisfaction ISO 9126 model decision-making software quality factors software re-engineering User acceptance

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Fine-Tuning Pre-Trained Models for Automated Analysis of Ophthalmic Imaging in Diagnosing Eye Diseases 24

Fine-Tuning Pre-Trained Models for Automated Analysis of Oph...

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24th International Arab Conference on Information Technology, ACIT 2023

作者： Al Mamlook, Rabia Emhamed Nasayreh, Ahmad Gharaibeh, Hasan Aljaidi, Mohammad Al-Na'amneh, Qais Alzu'bi, Dalia Bzizi, Hanin Abdeltawab, Abdelrahman Trine University Dep. of Business Administration Indiana United States University Zawia Department of Industrial Engineering Tripoli Libya Yarmouk University Dep. Computer Science Irbid Jordan Zarqa University Dep. of Computer Science Zarqa Jordan Applied Science Private University Dep. of Cyber Security Amman Jordan Concordia University Dep. Information and Systems Engineering Montreal Canada Western Michigan University Dep of Biomedical Science KalamazooMI49008 United States Bani Sweif University Faculty of Pharmacy Bani Suwayf Egypt

ISBN: (纸本)9798350384307

This paper searches into the convergence of such ad-vanced techniques with architectures like DenseNet201, VGG16, InceptionResNetV2, and NasNetMobile. Our focus centers on harnessing deep learning capabilities for the precise detection of eye ailments. Preliminary findings spotlight a notable uplift in diagnostic precision. Among the tested algorithms, the Nas-NetMobile architecture emerged superior, boasting an impressive accuracy rate of 92% on the chosen dataset. Through this work, we extend a significant advancement in the realm of automated eye disease diagnosis, potentially equipping medical professionals with sharper, swifter diagnostic tools. The outcomes presented herein could play a seminal role in sculpting more sophisticated and precise diagnostic approaches within ophthalmology. © 2023 IEEE.

关键词： Deep Learning Eye Disease Fine Tuning Transfer Learning

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Partially isolated three-port converter for electric vehicle charging applications 25

Partially isolated three-port converter for electric vehicle...

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25th International Middle East Power System Conference, MEPCON 2024

作者： Galal, Omar Yasser Abdelsalam, Ibrahim Marei, Mostafa I. Ain Shams University Faculty of Engineering Electrical Power and Machines Department Cairo Egypt Arab Academy for Science Technology & Maritime Transport College of Engineering & Technology Electrical and Control Engineering Dep. Cairo Egypt

ISBN: (纸本)9798350379648

This proposal investigates an energy management control strategy for a single stage off-board electric vehicle charger. The charger topology is a three-port dc-dc-dc converter (TPC) of the partially isolated type. This converter links two dc sources at different voltage levels with common ground and an isolated output EV battery dc port. The TPC is primarily derived from the integration of an interleaved boost with the series resonant dual active bridge (DAB) topology. The phase shift combined with pulse width modulation (PSM+ PWM) technique is utilized to achieve flexible power management strategy among three ports. Operating principles of the converter are discussed with the aid of steady state waveforms. A PSCAD-based simulation program is used for assessing the dynamics of this control system and verifying its effectiveness for photovoltaic (PV) powered off-board electric vehicle charger applications. © 2024 IEEE.

关键词： DAB Electric vehicle interleaved boost Off-board charger resonant converter three-port dc-dc converter

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