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Novel Path Counting-Based Method for Fractal Dimension Estimation of the Ultra-Dense networks

Intelligent Automation & Soft Computing 2023年第4期36卷 561-572页

作者： Farid Nahli Alexander Paramonov Naglaa F.Soliman Hussah Nasser AlEisa Reem Alkanhel Ammar Muthanna Abdelhamied A.Ateya Department of Telecommunication Networks and Data Transmission The Bonch-Bruevich Saint-Petersburg State University of TelecommunicationsSaint Petersburg193232Russia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Electronics and Communications Engineering Zagazig UniversityZagazig44519SharqiaEgypt

Next-generation networks,including the Internet of Things(IoT),ﬁfth-generation cellular systems(5G),and sixth-generation cellular systems(6G),suf-fer from the dramatic increase of the number of deployed *** puts high constraints and challenges on the design of such *** changing of the network is one of such challenges that affect the network performance,includ-ing the required quality of service(QoS).The fractal dimension(FD)is consid-ered one of the main indicators used to represent the structure of the communication *** this end,this work analyzes the FD of the network and its use for telecommunication networks investigation and *** clus-ter growing method for assessing the FD is introduced and *** article proposes a novel method for estimating the FD of a communication network,based on assessing the network’s connectivity,by searching for the shortest *** the cluster growing method,the proposed method does not require multiple iterations,which reduces the number of calculations,and increases the stability of the results ***,the proposed method requires less compu-tational cost than the cluster growing method and achieves higher *** method is quite simple to implement and can be used in the tasks of research and planning of modern and promising communication *** developed method is evaluated for two different network structures and compared with the cluster growing *** validate the developed method.

关键词： Cluster growing connectivity dense networks fractal dimension network structure shortest route quality of service

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Analytical Study of Local Repair Attack on RPL-Based 6LoWPAN networks in Internet of Things 7

Analytical Study of Local Repair Attack on RPL-Based 6LoWPAN...

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7th International Conference on Future networks and Distributed Systems, ICFNDS 2023

作者： Albinali, Hussah Alghofaili, Rakan Azzedin, Farag Information & Computer Science Department Kfupm Dhahran Saudi Arabia Networks & Communications Department Iau Saudi Arabia Technical Services Saudi Aramco Dhahran Saudi Arabia

ISBN: (纸本)9798400709036

RPL was developed as a routing protocol in low-power and lossy network contexts to connect many applications using IP-based communication. However, RPL has been exploited to launch several attacks, including local repair attacks. we have evaluated the effect of the local repair attack on the network performance and compared it with the normal RPL. We have conducted simulations on different topologies that included grid and binary topology. The results obtained show that the local repair attack affects the performance of the RPL protocol. The drop in PDR has severely impacted the binary topology to reach only 82%. Moreover, the grid topology suffers from E2E delay, which increases by 50% to reach an average of 2.2 seconds. In addition, the grid topology consumes approximately 40% additional power when the network is under local repair attacks. © 2023 ACM.

关键词： Topology

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Optimal Deep Learning Driven Intrusion Detection in SDN-Enabled IoT Environment

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computers, Materials & Continua 2023年第3期74卷 6587-6604页

作者： Mohammed Maray Haya Mesfer Alshahrani Khalid A.Alissa Najm Alotaibi Abdulbaset Gaddah AliMeree Mahmoud Othman Manar Ahmed Hamza Department of Information Systems College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia SAUDI ARAMCO Cybersecurity Chair Networks and Communications DepartmentCollege of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Prince Saud AlFaisal Institute for Diplomatic Studies RiyadhSaudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science Warwick UniversityCovetryUK Department of Computer Science Faculty of Computers and Information TechnologyFuture University in Egypt New Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

In recent years,wireless networks are widely used in different *** phenomenon has increased the number of Internet of Things(IoT)devices and their *** IoT has numerous advantages,the commonly-used IoT devices are exposed to cyber-attacks *** scenario necessitates real-time automated detection and the mitigation of different types of attacks in high-traffic *** Software-Defined Networking(SDN)technique and the Machine Learning(ML)-based intrusion detection technique are effective tools that can quickly respond to different types of attacks in the IoT *** Intrusion Detection System(IDS)models can be employed to secure the SDN-enabled IoT environment in this *** current study devises a Harmony Search algorithmbased Feature Selection with Optimal Convolutional Autoencoder(HSAFSOCAE)for intrusion detection in the SDN-enabled IoT *** presented HSAFS-OCAE method follows a three-stage process in which the Harmony Search Algorithm-based FS(HSAFS)technique is exploited at first for feature ***,the CAE method is leveraged to recognize and classify intrusions in the SDN-enabled IoT ***,the Artificial Fish SwarmAlgorithm(AFSA)is used to fine-tune the *** process improves the outcomes of the intrusion detection process executed by the CAE algorithm and shows the work’s *** proposed HSAFSOCAE technique was experimentally validated under different aspects,and the comparative analysis results established the supremacy of the proposed model.

关键词： Internet of things SDN controller feature selection hyperparameter tuning autoencoder

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A Systematic Literature Review on Digital Forensic Investigation on Android Devices

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Procedia computer Science 2024年 235卷 1332-1352页

作者： Almaha Almuqren Hanan Alsuwaelim M M Hafizur Rahman Adamu A. Ibrahim Department of Computer Networks and Communications King Faisal University Saudi Arabia Department of Computer Science KICT International Islamic University Malaysia (IIUM) Kuala Lumpur Malaysia.

Mobile forensics, particularly in the Android ecosystem, is a rapidly evolving field that demands continuous advancements to address the growing complexity and diversity of mobile devices. This article emphasizes the importance of developing techniques for digitally analyzing Android smartphones, which dominate the smartphone market. The primary objective of this research is to contribute to the development of effective forensic investigation strategies tailored specifically for Android mobile devices, providing insights into the tools and methods used for this purpose. The objective of this study is to improve the precision and effectiveness of forensic examinations pertaining to Android mobile phones. It discusses the fundamental functionality of mobile devices as a source of digital evidence and provides an overview of tools and methodologies for collecting and analyzing such evidence. The importance of comprehending the hardware and software architecture of Android handsets in order to choose the right forensic tools is also highlighted in the article. Furthermore, it proposes future enhancements for Andriller, a popular digital forensic tool, to improve its effectiveness in Android forensic investigations. These enhancements include advancements in data extraction techniques, compatibility with new Android versions, support for additional data types, integration with advanced analysis methods, and addressing identified limitations. Additionally, the paper stresses the need for robust methodologies for conducting cloud forensics on Android devices, particularly in the context of data stored in cloud storage services. The proposed work aims to enhance the capabilities of Andriller and improve the efficiency of digital forensic investigations on Android devices.

关键词： Forensic Mobile devices Mobile Forensic Mobile Device Forensics Andriller

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Reliable and Efficient Data Collection in UAV based IoT networks

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IEEE communications Surveys and Tutorials 2025年

作者： Poorvi, Joshi Kalita, Alakesh Gurusamy, Mohan National University of Singapore Communications and Networks Lab Department of Electrical and Computer Engineering Singapore Dhanbad Mathematics and Computing Department India

IoT involves sensors for monitoring and wireless networks for efficient communication. However, resource-constrained IoT devices and limitations in existing wireless technologies hinder its full potential. Integrating UAVs into IoT networks can address some challenges by expanding its coverage, providing security, and bringing computing closer to IoT devices. Nevertheless, effective data collection in UAV-assisted IoT networks is hampered by factors, including dynamic UAV behaviour, environmental variables, connectivity instability, and security considerations. In this survey, we first explore various communication technologies for UAV-IoT networks, performance metrics, and simulation tools, followed by a categorization of the UAV-IoT system based on the service model of UAV, mode of operation of UAV and UE during data collection, and network topology. As this article primarily emphasizes reliable and efficient data collection in UAV-assisted IoT networks, we briefly discuss existing research on data accuracy and consistency, network connectivity, and data security and privacy to provide insights into reliable data collection. Additionally, we discuss efficient data collection strategies in UAV-based IoT networks, covering trajectory planning and constraint management, sensor network clustering, data aggregation, and UAV swarm formations. Further, advanced AI techniques are discussed, which enable efficient and reliable data transfer in UAV-IoT systems. Finally, we discuss future challenges and their possible solutions using different approaches such as Decentralized Reinforcement and Federated Learning, Generative AI, and hybrid optical-RF communication links with integration of blockchain for reliable, efficient, and secure data collection in UAV-assisted IoT networks. © 2025 IEEE. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Performance Framework for Virtual Machine Migration in Cloud Computing

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computers, Materials & Continua 2023年第3期74卷 6289-6305页

作者： Tahir Alyas Taher M.Ghazal Badria Sulaiman Alfurhood Munir Ahmad Ossma Ali Thawabeh Khalid Alissa Qaiser Abbas Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Information Technology Skyline University CollegeUniversity City SharjahSharjah1797UAE Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)Bangi43600SelangorMalaysia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Dean of Student Affairs Skyline University CollegeUniversity City SharjahSharjah1797UAE Networks and Communications Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Faculty of Computer and Information Systems Islamic University Madinah Madinah42351Saudi Arabia

In the cloud environment,the transfer of data from one cloud server to another cloud server is called *** can be delivered in various ways,from one data centre to *** research aims to increase the migration performance of the virtual machine(VM)in the cloud *** allow cloud customers to store essential data and ***,server usage has grown dramatically due to the virtualization of computer systems,resulting in higher data centre power consumption,storage needs,and operating *** VMs on one data centre manage share resources like central processing unit(CPU)cache,network bandwidth,memory,and application ***-cloud,VMmigration addresses the performance degradation due to cloud server configuration,unbalanced traffic load,resource load management,and fault situations during data *** speed is influenced by the size of the VM,the dirty rate of the running application,and the latency ofmigration *** a result,evaluating VM migration performance while considering all of these factors becomes a difficult *** effort of this research is to assess migration problems on *** simulation results in Matlab show that if the VMsize grows,themigration time of VMs and the downtime can be impacted by three orders *** dirty page rate decreases,themigration time and the downtime grow,and the latency time decreases as network bandwidth increases during the migration time and post-migration overhead calculation when the VMtransfer is *** the simulated cases of VMs migration were performed in a fuzzy inference system with performance graphs.

关键词： Latency cloud computing dirty page ratio storage migration performance

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Testing and Exploiting Tools to Improve OWASP Top Ten Security Vulnerabilities Detection 14

Testing and Exploiting Tools to Improve OWASP Top Ten Securi...

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14th IEEE International Conference on Computational Intelligence and Communication networks, CICN 2022

作者： Aljabri, Malak Aldossary, Maryam Al-Homeed, Noor Alhetelah, Bushra Althubiany, Malek Alotaibi, Ohoud Alsaqer, Sara Saudi Aramco Cybersecurity Chair College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Networks and Communications Department Dammam Saudi Arabia College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Networks and Communications Department Dammam Saudi Arabia

ISBN: (纸本)9781665487719

In many different sorts of businesses, including public and private, government, critical infrastructures, etc., web apps have grown recently. Therefore, securing web applications is a major concern to protect businesses from loss and unauthorized access to sensitive information. Developers use vulnerable thirdparty modules or components or create programming security flaws themselves and occasionally work with tight budgets. These situations frequently cause people to overlook a crucial aspect of development life cycle security. This paper studies and tests the currently available web security and exploitation tools of OWASP's top ten security vulnerabilities. The main aim of this paper is to improve the detection of OWASP's top ten security vulnerabilities by proposing an exploitation and detection tool that combined features of the tools that has been tested in the paper. © 2022 IEEE.

关键词： Life cycle

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Comparison of IoT Architectures Based on the Seven Essential Characteristics

Comparison of IoT Architectures Based on the Seven Essential...

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Sciences and Techniques of Automatic Control and computer Engineering MI-STA, IEEE International Maghreb Meeting of the Conference on

作者： Saleh Hussein Al-Awami Mohammed Mahfud Al-Aty Mousa Faraj Al-Najar Department of Data Communications and Computer Networks University of Benghazi Benghazi Libya

The Internet of Things (IoT) is expected to become one of the major technological hubs in the coming years by connecting smart physical objects and enabling a variety of applications to enable smart decision-making. This paper aims to identify and study a set of eight proposed architectures (a three-layers architecture, a five-layers architecture, SOA architecture, a 5G architecture, an Alibaba IoT architecture, an Oracle IoT architecture, and a novel IoT seven-layers architecture) for the Internet of Things. In addition, research challenges have been identified in the current trends of IoT architectures. The main contribution of this comparison paper is that it systematically reviews the current state of IoT architectures. The comparison according to the seven essential characteristics (simplicity, cost, scalability, flexibility, performance, security and privacy, and data analytic using machine learning) has been made to determine the best reference architecture that would provide an uniform basis to understand, compare, and evaluate the different solutions of IoT-based architectures.

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In-depth Analysis of Interior Gateway Protocols in a Large-scale Enterprise Topologies

In-depth Analysis of Interior Gateway Protocols in a Large-s...

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Sciences and Techniques of Automatic Control and computer Engineering MI-STA, IEEE International Maghreb Meeting of the Conference on

作者： Saleh Hussein Al-Awami Ali Tahir Abu Raas Emad Awadh Ben Srity Department of Data Communications and Computer Networks University of Benghazi Benghazi Libya

Interior gateway protocols are among the routing protocols with the fastest expanding usage in networking technologies because they provide features that enable these algorithms to communicate together in a standard and flexible way. Network devices communicate through internal gateway protocols in autonomous systems (AS). This paper makes a contribution in this field using (Graphical Network Simulator) GNS3 version 2.2.34 software to simulate a ten-router setup to mimic a complex real-time enterprise-level network. Every protocol is put into practice using the intended ***/Statistical Analysis: The interior gateway, Open Shortest Path First (OSPF), Enhanced Interior Gateway Routing Protocol (EIGRP), and Intermediate System to Intermediate System (IS-IS) are in-depth analyzed in a complex enterprise-level network, which made up to 30 multiple paths of routing data packets for each examined routing protocol, with consideration of link failure while employing various network ***: End-to-end delay, jitter, and convergence time for each protocol have been measured for comparison in a large-scale (a complex enterprise) fixed topology. Finding the best practical interior gateway routing protocol is the study's main goal.

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Event-driven bi-fidelity control for efficient and reliable robotic manipulation

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Results in Engineering 2025年 26卷

作者： Alsaade, Fawaz W. Al-zahrani, Mohammed S. Alsaadi, Fuad E. Department of Computer Science College of Computer Sciences and Information Technology King Faisal University Al-Ahsa31982 Saudi Arabia Department of Computer Networks and Communications College of Computer Sciences and Information Technology King Faisal University Al-Ahsa31982 Saudi Arabia Communication Systems and Networks Research Group Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah Saudi Arabia

This paper proposes a novel bi-fidelity control framework for robotic manipulators that integrates a high-fidelity model predictive control (MPC) scheme with a low-fidelity Long Short-Term Memory (LSTM) neural network surrogate. Unlike conventional fixed-schedule approaches, our method employs an event-triggered mechanism that dynamically selects the appropriate controller based on a real-time error metric. This mechanism ensures that the computationally intensive MPC is invoked only when the LSTM approximation deviates beyond acceptable bounds. We rigorously established the near-optimal performance and closed-loop stability of our approach via Lyapunov analysis under mild assumptions, instilling confidence in its reliability. The simulation results on a three-arm manipulator, subject to low-frequency sinusoidal and high-frequency chirp trajectories, demonstrate that the proposed approach achieves up to 80–90% reduction in MPC calls, significantly improving the accuracy of the follow-up and computational efficiency. These findings highlight the potential of integrating learning-based approximations with conventional optimization-based control to achieve reliable and time-efficient performance in complex robotic manipulation tasks. © 2025 The Authors

关键词： Predictive control systems

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