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4th International Conference on Sustainable Technologies for Industry 4.0, STI 2022

作者： Faisal, Faiz Al Hafizur Rahman, M.M. Inoguchi, Yasushi Green University of Bangladesh Department of Computer Science and Engineering Dhaka Bangladesh Ccsit King Faisal University Department of Computer Networks & Communications Saudi Arabia Jaist Research Center for Advanced Computing Infrastructure Nomi Ishikawa Japan

ISBN: (纸本)9781665490450

Exa-scale supercomputing is the prime target for the supercomputers. To reach at that point, supercomputers require redesigning the interconnection networks to support high network scalability, suitable network performance, low cost-performance ratio, low power usage, high fault-tolerance, low network congestion and high throughput with low latency. Among the thousand of interconnection networks, one of the most capable one is 3D-TESH, is a hierarchical interconnection network (HIN) interconnected with multiple basic modules (basic modules are basically treated as single on-chip network), where each on-chip network is similar to a 3Dmesh network and off-chip network are built using the 2Dtorus connections. Some static network parameters as well as dynamic communication performance (on-chip level) had been studied earlier for 3DTESH, which ensured the high significance of this network in comparing with others. Moreover, in case of power consumption, it requires about 41% less router power than 5Dtorus at the on-chip level. In this paper, we like to evaluate some other important static parameters like- packing density, fault tolerance, wiring complexity, cost effectiveness factor and etc. Here, we found that 3D-TESH yields much better results than network like - 3Dmesh, 2Dmesh, 2Dtorus, TESH and even the 3Dtorus. © 2022 IEEE.

关键词： Cost effectiveness

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Integrated Comb-Driven Silicon Photonics

Integrated Comb-Driven Silicon Photonics

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2023 Optical Fiber communications Conference and Exhibition, OFC 2023

作者： Wang, Xingjun Shen, Bitao Shu, Haowen Chang, Lin Tao, Yuansheng Xie, Weiqiang Bowers, John E. Peking University School of Electronics State Key Laboratory of Advanced Optical Communications System and Networks Beijing100871 China University of California Department of Electrical and Computer Engineering Santa BarbaraCA93106 United States

We realize the combination of integrated microcomb and silicon photonics, employing the advanced AlGaAsOI optical nonlinear platform and novel SiPh chips. Data link with 2-Tbps aggregate rate and highly reconfigurable... 详细信息

ISBN: (纸本)9781957171180

关键词： Silicon photonics

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Ransomware Detection in the Internet of Things (IoT): Challenges and Emerging Solutions

Ransomware Detection in the Internet of Things (IoT): Challe...

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Women in Data Science at Prince Sultan University (WiDS PSU), International Conference of

作者： Sarah Tawfiq Albassam Khadijah Ahmed Alamoudi Shahad Saad Alshalawi Aseel Khaled Alghamdi Hessah Abdulmohsen Alnashwan Sarah Mohammed Alsaber Nazar Abbas Saqib Department of Networks and Communications College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia

ISBN: (数字)9798350395839

ISBN: (纸本)9798350395846

Ransomware attacks cause significant security risks to organizations and individuals, which can lead to financial loss and reputational damage. Therefore, it is essential to mitigate such attacks. As the number of connected devices to the Internet of Things (IoT) increases, particularly in sensitive networks, the number vulnerabilities explored in the IoT landscape increases as well. These vulnerabilities present opportunities for malicious actors to exploit and launch attacks, including ransomware. Security measures in IoT against recent attacks, ransomware attacks, in particular, are one of the concerns that face IoT. Yet, developing ransomware detection and mitigation methods becomes crucial to prevent the attack from being executed, by implementing early response to avoid any losses that ransomware can cause. This paper will review existing ransomware detection methods in IoT environments, faced challenges, and solutions. Furthermore, a comprehensive comparison of detection methods based on the classification of the ransomware, limitations, and addressed challenges will be presented.

关键词： Protocols Reviews Organizations Particle measurements Virtual machining Ransomware Internet of Things

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An Optimized Wireless Video Transmission in a Smart Agricultural Solutions 40

An Optimized Wireless Video Transmission in a Smart Agricult...

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40th National Radio Science Conference, NRSC 2023

作者： Naeem, Mohamed Aboul-Dahab, Mohamed Technology and Maritime Transport Computer Networks and Data Centre-Cairo Arab Academy for Science Cairo11799 Egypt Technology and Maritime Transport Department of Electronics and Communications Engineering. Arab Academy for Science Cairo11799 Egypt

ISBN: (纸本)9798350311440

Smart agriculture requires field sensing, especially video and photo transmissions, to detect severe issues in this field. Although the most suitable communication infrastructure is wireless transmission, the agriculture field suffers from severe diffraction and scattering of the wirelessly propagated waves. This paper proposes an optimization technique for improving wireless transmission in the agricultural environment by utilizing the most appropriate wireless impairment mitigation methods. The proposed technique adopts a joint wireless transmission optimization approach for both the client and the network sides. The amendment in the wireless transmission from the client-side perspective utilized the concurrent load balance over the heterogeneous wireless connections. While the refinement of the heterogeneous wireless network achieved better coverage by minimizing the number of propagating nodes by optimizing the propagating nodes' placement within the agricultural plot. The simulation, experiment, and results proved the effectiveness of the proposed solution for achieving better wireless video transmission performance. © 2023 IEEE.

关键词： Heterogeneous networks

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Microservice-Based Fog Testbed for 6G Applications 26

Microservice-Based Fog Testbed for 6G Applications

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26th International Conference on Advanced communications Technology, ICACT 2024

作者： Kuzmina, Ekaterina Tefikova, Meriem Volkov, Artem Muthanna, Ammar Ateya, Abdelhamied A. Koucheryavy, Andrey Saint-Petersburg State University of Telecommunications Department of Telecommunication Networks and Data Transmission Saint Petersburg Russia Zagazig University Department of Electronics and Communications Engineering Zagazig44519 Egypt College of Computer and Information Sciences Prince Sultan University Eias Data Science Lab Riyadh11586 Saudi Arabia

ISBN: (纸本)9791188428120

This paper provides a real-time fog computing model based on a microservice architecture that enables testing and modeling of eventual implementations of ultra-reliable low-latency communications (uRLLC) services. The work provides fog-based architecture for sixth-generation cellular (6G) applications, including telepresence and uRLLC. A testbed of a robot swarm was developed to prototype the proposed network architecture. Computing tasks are offloaded and handled based on a proposed microservice scheme introduced to meet the 6G requirements. Furthermore, we developed a novel migration scheme for the proposed architecture to support the mobility of end devices. The optimum server for migrating computing tasks is allocated by solving a proposed optimization problem using particle swarm optimization (PSO). All proposed algorithms were implemented in the developed prototype. The proposed work is introduced to provide an architectural foundation for testing fog-based 6G applications and services and to implement and test novel network methods in the future. © 2024 Global IT Research Institute - GIRI.

关键词： Fog

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A New Design Algorithm to Reduce the Complexity for Different 5G Waveforms 4

A New Design Algorithm to Reduce the Complexity for Differen...

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4th IEEE International Conference on Electrical, computer, and Energy Technologies, ICECET 2024

作者： Algriree, Waleed Hassan, Nawar Banwan Ali, Huda Hamdan Sulaiman, Nasri bin Alghrairi, Mokhalad Sabbar, Bayan Mahdi Mutashar, Saad University Putra Malaysia Faculty of Engineering Department of Wireless Communications and Networks Engineering Selangor Malaysia Imam Alkadhim University College Department of Computer Techniques Engineering Baghdad Iraq University Putra Malaysia Faculty of Engineering Department of Electrical and Electronic Engineering Selangor Malaysia Al-Mustaqbal University Medical Instrumentation Techniques Engineering Department Babylon Iraq

ISBN: (纸本)9798350395914

With the exponential growth of wireless communications, there is a great need for innovative telecommunication services throughout the frequency ranges where the present scarcity of spectrum might be addressed. As a result, to enhance the use of spectrum, a Fifth generation -MIMO CR system of communication that utilizes the spectrum sense (SS) methodology was developed. Based on the two-stage method, this suggested SS algorithm uses a two-stage approach: first, it filters the traffic signal using the Cosine law, and then it applies the Welch algorithm to enable segmentation. In addition, wave forms for filter bank multi-carrier (FBMC), universal filtering multi-carrier (UFMC), filtered-orthogonal multiplexing with frequency division (F-OFDM), as well as non-orthogonal multiple access (NOMA) are included here (GFDM). Evaluations of the computational difficulty and other operational factors, including SNR, antenna count, power, as well as signal span, were also conducted. A remarkable accomplishment was observed for the parameters with SNR values less than 0 dB, minimal difficulty, global identification percentage > 99% ,global false alarm a likelihood © 2024 IEEE.

关键词： Signal to noise ratio

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Comparative E-Voting Security Evaluation: Multi-Modal Authentication Approaches 6

Comparative E-Voting Security Evaluation: Multi-Modal Authen...

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6th International Conference on Blockchain Computing and Applications, BCCA 2024

作者： Ahmadieh, Elsi El Madhoun, Nour Lebanese University Faculty of Technology Department Communications and Computer Networks Engineering Beirut Lebanon LISITE Laboratory ISEP 10 Rue de Vanves Issy-les-Moulineaux92130 France Sorbonne Université CNRS LIP6 4 place Jussieu Paris75005 France

ISBN: (纸本)9798350351538

The decentralized, distributed ledger, a fundamental aspect of blockchain technology, plays a pivotal role in various sectors, including electronic voting (e-voting) systems. When considering e-voting, the significance of blockchain technology in boosting the security, transparency, and integrity of the entire process is evident. This ranges from the initial steps of user registration and authentication to the final stages of voting and result validation. Unlike conventional voting systems, which are plagued by issues such as fraud, tampering, and a lack of transparency in the result tallying and viewing processes, not to mention the delays, blockchain-enabled e-voting mitigates these challenges within government frameworks. It ensures a secure, tamper-proof, and transparent procedure, where each vote is recorded as an immutable transaction, thereby enhancing the process’s reliability. This paper explores the integration of voice recognition and fingerprinting using blockchain technology for enhancing the security of e-voting systems, comparing alternative authentication methods, and emphasizing the need for a multi-modal approach to achieve better security and reliability of the voting systems. © 2024 IEEE.

关键词： Voting machines

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Malware Detection Based on Machine Learning Methods, Analysis, and Tools

Malware Detection Based on Machine Learning Methods, Analysi...

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International Conference on communications and Networking, ComNet

作者： Almaha Almuqren Mounir Frikha Abdullah Albuali Mohammed Amin Almaiah dept. Department of Computer Networks and Communications King Faisal University Al Hofuf Saudi Arabia dept. Department of Computer Science King Abdullah the II IT School The University of Jordan Amman Jordan

ISBN: (数字)9798331520793

ISBN: (纸本)9798331520809

Malware identification is essential for safeguarding digital systems from cyber attacks, and machine learning techniques are proving to be efficient in this field. This systematic literature re-view thoroughly analyzes research undertaken from 2020 to 2024 on malware detection using machine learning techniques, with a specific emphasis on analysis and tools. This research follows systematic literature review procedures to identify notable developments and trends in machine learning-based malware detection. The examination focuses on research approaches, highlighting the use of supervised, unsupervised, and deep learning algorithms. The research also examines the use of fundamental tools and frameworks for machine-learning-based malware detection. The assessment includes open-source software tools used for data preparation, feature extraction, and model evaluation. The research also explores the practical consequences of using machine learning for detecting malware. The evolution, classification, trends, and possible hazards linked to malicious software, specifically on Android and network platforms, have been the subject of an abundance of research. Nonetheless, a significant research void persists concerning the effectiveness of utilizing machine learning techniques to analyze and detect malware on di-verse platforms. By presenting a methodical examination of diverse malware analysis and detection approaches, this article attempts to bridge this disparity. The article discusses obstacles and constraints faced in machine learning-based malware detection, including dataset imbalances and adversarial assaults. The text explores possible solutions and future research paths to address these difficulties, emphasizing the importance of creating strong and adaptable detection systems. This study is a great resource for academics and practitioners that aim to strengthen cybersecurity measures and effectively address changing cyber threats.

关键词： Systematics Machine learning algorithms Software algorithms Machine learning Market research Feature extraction Malware Hazards Open source software Systematic literature review

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Drone-based AI/IoT Framework for Monitoring,Tracking and Fighting Pandemics

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computers, Materials & Continua 2022年第6期71卷 4677-4699页

作者： Abdelhamied A.Ateya Abeer D.Algarni Andrey Koucheryavy Naglaa.F.Soliman Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Electronics and Communications Engineering Zagazig UniversityZagazigSharqia44519Egypt Department of Telecommunication Networks and Data Transmission the Bonch-Bruevich Saint-Petersburg State University of TelecommunicationsSaint Petersburg193232Russia

Since World Health Organization(WHO)has declared the Coronavirus disease(COVID-19)a global pandemic,the world has *** life’s fields and daily habits have moved to adapt to this new *** to WHO,the probability of such virus pandemics in the future is high,and recommends preparing for worse *** this end,this work provides a framework for monitoring,tracking,and fighting COVID-19 and future *** proposed framework deploys unmanned aerial vehicles(UAVs),e.g.;quadcopter and drone,integrated with artificial intelligence(AI)and Internet of Things(IoT)to monitor and fight *** consists of two main systems;AI/IoT for COVID-19 monitoring and drone-based IoT system for *** two systems are integrated with the IoT paradigm and the developed algorithms are implemented on distributed fog units connected to the IoT network and controlled by software-defined networking(SDN).The proposed work is built based on a thermal camera mounted in a face-shield,or on a helmet that can be used by people during *** detected images,thermal images,are processed by the developed AI algorithm that is built based on the convolutional neural network(CNN).The drone system can be called,by the IoT system connected to the helmet,once infected cases are *** drone is used for sterilizing the area that contains multiple infected *** proposed framework employs a single centralized SDN controller to control the network *** developed system is experimentally evaluated,and the results are *** indicate that the developed framework provides a novel,efficient scheme for monitoring and fighting COVID-19 and other future pandemics.

关键词： Internet of Things convolutional neural network fog computing software-defined networking COVID-19 drone

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Ultrahigh-coherence microcomb generation and low-noise amplification using integrated photonics

Ultrahigh-coherence microcomb generation and low-noise ampli...

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2024 IEEE Photonics Conference, IPC 2024

作者： Zhang, Xuguang Zhou, Zixuan Guo, Yijun Zhuang, Minxue Jin, Warren Shen, Bitao Chen, Yujun Huang, Jiahui Hu, Weiwei Shu, Haowen Bowers, John E. Wang, Xingjun Chang, Lin University of California Santa Barbara Department of Electrical and Computer Engineering Santa BarbaraCA United States Peking University State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Beijing China Peking University Frontiers Science Center for Nano-Optoelectronics Beijing China

ISBN: (纸本)9798350361957

We demonstrate a high-coherence parallel integrated light source utilizing a self-injection locked microcomb and injection locking amplification. Our strategy exhibits a record high on-chip gain of 60 dB, nearly 0 dB noise factor, which enable more than 30 highly coherent channels in integrated photonics whose linewidths down to 10 Hz, power exceeding 20 dBm per line and a wall plug efficiency of 19%. © 2024 IEEE.

关键词： Photonic integrated circuits

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