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Smart-Fragile Authentication Scheme for Robust Detecting of Tampering Attacks on English Text

computers, Materials & Continua 2022年第5期71卷 2497-2513页

作者： Mohammad Alamgeer Fahd N.Al-Wesabi Huda G.Iskandar Imran Khan Nadhem Nemri Mohammad Medani Mohammed Abdullah Al-Hagery Ali Mohammed Al-Sharafi Department of Information Systems King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaMalaysia Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaKSA

Content authentication,integrity verification,and tampering detection of digital content exchanged via the internet have been used to address a major concern in information and communication *** this paper,a text zero-watermarking approach known as Smart-Fragile Approach based on Soft Computing and Digital Watermarking(SFASCDW)is proposed for content authentication and tampering detection of English text.A first-level order of alphanumeric mechanism,based on hidden Markov model,is integrated with digital zero-watermarking techniques to improve the watermark robustness of the proposed *** researcher uses the first-level order and alphanumeric mechanism of Markov model as a soft computing technique to analyze English ***,he extracts the features of the interrelationship among the contexts of the text,utilizes the extracted features as watermark information,and validates it later with the studied English text to detect any *** has been implemented using PHP with VS code *** robustness,effectiveness,and applicability of SFASCDW are proved with experiments involving four datasets of various lengths in random locations using the three common attacks,namely insertion,reorder,and *** SFASCDW was found to be effective and could be applicable in detecting any possible tampering.

关键词： Watermarking soft computing text analysis hidden Markov model content authentication

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Laboratory Experimental System for Ferroresonance Analysis 4

Laboratory Experimental System for Ferroresonance Analysis

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4th International Conference on Smart Grid Metrology, SMAGRIMET 2023

作者： Bensic, Tin Milicevic, Kruno Vinko, Davor Barukcic, Marinko Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering Computer Science and Information Technology Osijek Department of Electromechanical Engineering Osijek Croatia

ISBN: (纸本)9798350323597

The paper presents a scaled laboratory experimental model of ferroresonant circuit designed for detailed investigation of the ferroresonance phenomena. To enable accurate ferroresonance examination, the system is expanded with programmable voltage source and fully automated test system using hardware-in-The-loop methodology. © 2023 IEEE.

关键词： Synthetic apertures

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Design and Modeling of a Photonic Crystal Multiplexer Using Artificial Intelligence

Advanced Electromagnetics

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Advanced Electromagnetics 2025年第1期14卷 59-64页

作者： Karami, Pouya Yahya, Salah I. Palash, Behnam Chaudhary, Muhammad Akmal Assaad, Maher Parandin, Fariborz Roshani, Saeed Hazzazi, Fawwaz Roshani, Sobhan Department of Electrical Engineering Kermanshah Branch Islamic Azad University Kermanshah Iran Department of Communication and Computer Engineering Cihan University-Erbil Erbil44001 Iraq Department of Software Engineering Faculty of Engineering Koya University KOY45 Koya Iraq Department of Electrical and Computer Engineering College of Engineering and Information Technology Ajman University 346 Ajman United Arab Emirates Department of Electrical Engineering College of Engineering Prince Sattam bin Abdulaziz University Al-Kharj11492 Saudi Arabia

In this paper, design and modeling of an all-optical 2×1 multiplexer based on 2D photonic crystals and artificial neural networks (ANNs) are presented. The proposed structure aims to maximize the difference between the output powers in logical states, which is critical for enhancing the system ability to distinguish between these states. In this study, an ANN model is employed to accurately predict the normalized output power of the designed photonic crystal multiplexer, providing a time-efficient alternative to conventional simulation methods for analyzing multiplexer behavior across various logical states. The results demonstrate significant improvements in signal separation and overall performance compared to previous works. Additionally, a detailed comparison of the normalized output power for different logic states is provided, highlighting the advantages of the proposed design. © 2025, Advanced Electromagnetics. All rights reserved.

关键词： Silicon photonics

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Intrusion Detection Systems in Internet of Things and Mobile Ad-Hoc Networks

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computer Systems Science & engineering 2022年第3期40卷 1199-1215页

作者： Vasaki Ponnusamy Mamoona Humayun NZJhanjhi Aun Yichiet Maram Fahhad Almufareh Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanKamparMalaysia Department of Information Systems College of Computer and Information SciencesJouf UniversityAl-JoufSaudi Arabia School of Computer Science and Engineering(SCE) Taylor’s UniversitySelangorMalaysia

Internet of Things(IoT)devices work mainly in wireless mediums;requiring different Intrusion Detection System(IDS)kind of solutions to leverage 802.11 header information for intrusion ***-specific traffic features with high information gain are primarily found in data link layers rather than application layers in wired *** survey investigates some of the complexities and challenges in deploying wireless IDS in terms of data collection methods,IDS techniques,IDS placement strategies,and traffic data analysis *** paper’s main finding highlights the lack of available network traces for training modern machine-learning models against IoT specific ***,the Knowledge Discovery in Databases(KDD)Cup dataset is reviewed to highlight the design challenges of wireless intrusion detection based on current data attributes and proposed several guidelines to future-proof following traffic capture methods in the wireless network(WN).The paper starts with a review of various intrusion detection techniques,data collection methods and placement *** main goal of this paper is to study the design challenges of deploying intrusion detection system in a wireless *** detection system deployment in a wireless environment is not as straightforward as in the wired network environment due to the architectural *** this paper reviews the traditional wired intrusion detection deployment methods and discusses how these techniques could be adopted into the wireless environment and also highlights the design challenges in the wireless *** main wireless environments to look into would be Wireless Sensor Networks(WSN),Mobile Ad Hoc Networks(MANET)and IoT as this are the future trends and a lot of attacks have been targeted into these *** it is very crucial to design an IDS specifically to target on the wireless networks.

关键词： Internet of Things MANET intrusion detection systems wireless networks

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Computational Microarray Gene Selection Model Using Metaheuristic Optimization Algorithm for Imbalanced Microarrays Based on Bagging and Boosting Techniques 11th

Computational Microarray Gene Selection Model Using Metaheur...

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11th International Conference on Model and Data engineering, MEDI 2022

作者： Elden, Rana Hossam Ghoneim, Vidan Fathi Hadhoud, Marwa M. A. Al-Atabany, Walid Biomedical Engineering Department Faculty of Engineering Helwan University Cairo Egypt Information Technology and Computer Science School Nile University Giza Egypt

ISBN: (纸本)9783031215940

Genomic microarray databases encompass complex high dimensional gene expression samples. Imbalanced microarray datasets refer to uneven distribution of genomic samples among different contributed classes which can negatively affect the classification performance. Therefore, gene selection from imbalanced microarray dataset can give rise to misleading, and inconsistent nominated genes that would alter the classification performance. Such unsatisfactory classification performance is due to the skewed distribution of the samples across the microarrays toward the majority class. In this paper, we propose a modified version of Emperor Penguin Optimization (EPO) algorithm combined with Random Forest (RF) of Bagging and Boosting Classification named by EPO-RF to select the most informative genes based on classification accuracy using imbalanced microarray datasets. The modified version of EPO was built to be based on decision trees that takes in consideration the criterion of tree splitting weights to handle the imbalanced microarray datasets. Average gene expression binary values are used as a preliminary step for exploring disease trajectories with the aid of metaheuristic optimization feature selection algorithms. Results show that the proposed model revealed its superiority compared to well-known established metaheuristic optimization algorithms, e.g., Harris Hawks Optimization (HHO), Grey Wolf Optimization (GWO), Salp Swarm Optimization (SSO), Particle Swarm Optimization (PSO), and Genetic Algorithms (GA’s) using several pediatric sepsis microarray datasets for patients who admitted to the Intensive Care Unit (ICU) for the first 24 h. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Gene expression

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Life Cycle Management of Operational technology – OT 33rd

Life Cycle Management of Operational Technology – OT

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33rd International Conference on Organization and technology of Maintenance, OTO 2024

作者： Dorić, Dražen Glavaš, Hrvoje Varga, Fran Faculty of Electrical Engineering Josip Juraj Strossmayer University of Osijek Computer Science and Information Technology Osijek Kneza Trpimira 2B Osijek31000 Croatia

ISBN: (纸本)9783031805967

Systematic management of all phases of the lifecycle of an industrial control system, recently referred to as operational technology or OT for short, ensures that the system is up to date, compliant with regulations and in line with changing business requirements. This is especially true for critical infrastructure. In this way, operational resilience is improved, risks are minimized and a proactive approach to maintenance is encouraged, with a focus on safety, efficiency and long-term sustainability. The paper provides an overview of the motivations for systematic lifecycle management of OT systems, offers a description and illustration of lifecycle costs in the CAPEX and OPEX phases, emphasizes the changing role of corrective and preventive maintenance from a lifecycle management perspective, and budgeting for various activities, including cybersecurity and OT system upgrades. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Preventive maintenance

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Vector control design and analysis for PMSM using real-Time HIL simulation 4

Vector control design and analysis for PMSM using real-Time ...

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4th International Conference on Smart Grid Metrology, SMAGRIMET 2023

作者： Knol, Kristian Bensic, Tin Barukcic, Marinko Osijek Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering Computer Science and Information Technology Department of Electromechanical Engineering Osijek Croatia

ISBN: (纸本)9798350323597

During the development of control strategies for permanent magnet synchronous machines (PMSM) used in wind turbines, usage of wide range of simulation allows for more detailed, more safe and less expensive development. This paper presents type of HIL simulation, where instead of using real controller and real-Time simulator, two real-Time simulators are used and form a co-simulation environment where vector control of PMSM is conducted. The whole process of designing and simulating is a part of model-based design (MBD). The PMSM is described and controller for vector control is derived. Created co-simulation environment with its advantages and problems is described. An experiment with different scenarios is conducted to test created co-simulation. © 2023 IEEE.

关键词： Vectors

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Assessment of Non-Intrusive Load Monitoring as a Blind Source Separation Problem

Assessment of Non-Intrusive Load Monitoring as a Blind Sourc...

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2023 IEEE PES Generation, Transmission and Distribution International Conference and Exposition, GTD 2023

作者： Herath, G.M. Liyanage, M.H. Angammana, C.J. Sri Lanka Institute of Information Technology Faculty of Engineering Malabe Sri Lanka University of Waterloo Department of Electrical and Computer Engineering WaterlooON Canada

ISBN: (纸本)9781728170251

Non-Intrusive Load Monitoring (NILM) allows consumers to monitor appliances' power consumption without installing appliance-level sensors. NILM has become popular with the rapid deployment of smart energy meters. Neural network-based disaggregation approaches have provided more promising results in NILM. However, most of them must have labeled energy data for model training. The availability of energy data is inadequate, and the data must be updated frequently for higher disaggregation performances. However, none of the existing datasets is periodically updated. Therefore, training data has become a limiting factor for commercializing disaggregation solutions. This study addresses the issue by proposing an Independent Component Analysis (ICA) based solution to perform energy disaggregation as a blind source separation problem for the first time in the NILM domain. The aggregate energy signal has been used to prepare the independent input signals with a novel signal preprocessing approach. The results revealed the effectiveness of ICA in NILM applications. © 2023 IEEE.

关键词： Blind source separation

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A New Chaotic-Based Analysis of Data Encryption and Decryption 18th

A New Chaotic-Based Analysis of Data Encryption and Decrypti...

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18th International Conference on Data Science and Artificial Intelligence, ICDSAI 2022

作者： Johora, Fatema Tuj Alamin-Ul-Islam Yesmin, Farzana Rahman, Md. Mosfikur Department of Computer Science and Engineering Green University of Bangladesh Dhaka Bangladesh Department of Computer Science and Engineering Faculty of Science and Information Technology Daffodil International University Dhaka Bangladesh

ISBN: (纸本)9783031161773

Because the amount of exchange hypersensitive data via the Internet is growing at an exponential rate, network and data security have recently been the most pressing worry. On the subject of data security, many approaches are available, including "cryptography." When data is sent from the sender to the receiver, it is encrypted using an encryption method, and when it is received by the receiver, it is decrypted using a decryption algorithm to see the exact and true data that was sent by the sender previously. Data encryption can be done in a number of ways. With algorithms like AES, DES, and RSA for data encryption and decryption, this research proposes a novel CRSA (chaotic random seed algorithm) technique. CRSA was also compared to other algorithms to see how well they performed. The experimental data presented in this work are used to examine those algorithms as well as our new CRSA algorithm. Cryptography, encryption, decryption, random reed, millisecond, and data security are all terms used in this paper. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Cryptography

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Multi-dimensional Resource Allocation in HAP-assisted UAV Wireless Networks for IoRT Data Collection

Multi-dimensional Resource Allocation in HAP-assisted UAV Wi...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhao, Hui Zhang, Xinran Chen, Weilong Xu, Xiaobin Wang, Li Chang, Zheng University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu611731 China Beijing University of Posts and Telecommunications School of Computer Science Beijing China Beijing University of Technology Faculty of Information Technology Beijing100124 China

ISBN: (纸本)9798350351255

In this paper, we propose a multi-dimensional resource allocation scheme for Internet of Remote Things (IoRT) data collection in a high altitude platform (HAP)-assisted unmanned aerial vehicle (UAV) network. Considering the quality of service (QoS) requirements of delay-sensitive IoRT data, we propose a UAV-HAP double relay data transmission mode to reduce the transmission delay for delay-sensitive data. Since the resources of the UAV are limited, we jointly optimize communications, computing and storage resources to maximize the utility of the considered system. Due to the high dimensionality of the solution space, we design a Twin Delayed Deep Deterministic policy gradient-based multi-dimensional resource allocation (TD3-MDRA) algorithm to find the optimal resource allocation strategy. Extensive simulation results are presented to demonstrate the superior performance of TD3-MDRA for IoRT data collection with delay and resource constraints. © 2024 IEEE.

关键词： Deep reinforcement learning

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