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Design and Implementation of a Data Stream Anonymization Core on FPGA 7

Design and Implementation of a Data Stream Anonymization Cor...

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7th International Conference on Cryptography, Security and Privacy, CSP 2023

作者： Moussa, Bilal Chaccour, Kabalan Mroue, Mohamad Bouyekhf, Rachid University of Technology Belfort-Montbeliard Nanomedicine Imagery and Therapeutics Lab. Besançon France Houmal Technology Park R&d Hardware Lab. Multilane Houmal Lebanon Antonine University Ticket Lab. Dept. of Computer and Communications Eng. Hadat-Baabda Lebanon Lebanese University Crsi Lab. Faculty of Engineering Hadath Lebanon

ISBN: (纸本)9798350323368

Data privacy has become the center of attention to many researchers and engineers. With high speed data transmission, data privacy can be at risk. Data stream anonymization is a fairly new and effective technique that is being currently investigated. It aims to protect data from third-party attackers. A user must keep in mind that when applying anonymization on a dataset, there will be a tradeoff between data utility and the risk of data identification. I n this paper, w e propose various anonymization cores that can be used to hide the sensitive parts of the data. The hardware implementation on FPGA of these cores is also discussed. Each implementation takes into consideration the trade-off between the throughput and the power consumption in addition to the application type and specifications. The first architecture treats a simple application where two anonymization techniques are used (i.e. Perturbation and character masking). The second implementation requires more complex anonymization techniques and extends K-anonymity criteria and L-diversity for more sensitive applications where data identification is crucial. Results are compared with existing work implementations and many improvements are applied in terms of resource utilization and throughput. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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LIDS: Lightweight Dynamic Scheduling Technique for 6G-enabled Massive LoRa based IoT Systems

LIDS: Lightweight Dynamic Scheduling Technique for 6G-enable...

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IEEE Globecom Workshops

作者： Akshitha Kumbam Nikumani Choudhury Moustafa M. Nasralla Dept. of Computer Science & Information Systems Birla Institute of Technology & Science Pilani Hyderabad India Dept. of Communications & Networks Engineering Prince Sultan University Riyadh Saudi Arabia

ISBN: (纸本)9781665459761

The sixth-generation (6G) wireless communication networks are envisioned to deliver improved Quality of Services (QoS) such as data-rate, latency, localization, etc., compared to 5G services. This demand will mainly arise due to the massive Internet of Things (IoT) connections among billions of embedded devices. It is worth noting that these IoT devices are constrained in nature in terms of memory, computation and most importantly power. Low-power wireless computing necessitates a link-layer technology that considers the aforementioned IoT device requirements such as low-power, low data-rate, long-range and energy efficient reliable communications. Long Range Radio (LoRa) technology has recently become widely popular to facilitate low-power, long-range communication, while other similar technologies struggle to achieve long-range transmissions. The LoRA standard defines several PHY and MAC sub-layer specifications for Low-Power Wide Area networks (LPWAN) that can be used to build several IoT applications. With 6G communications, an IoT application is expected to consist of hundreds of devices connected at a time, and this will need a proper scheduling mechanism among these devices for optimal performance. The LoRa standard does not define any scheduling mechanism and leaves it to the research community to explore. In this paper, we propose a distributed scheduling mechanism under the supervision of a common LoRa gateway. The proposed mechanism focuses on a Lightweight DynamicScheduling (LIDS) scheme to minimize loss in data transmissions through collisions. The proposed mechanism optimizes the power consumption to achieve the desired level of QoS requirements such as throughput and latency.

关键词： 6G mobile communication Wireless communication Power demand Quality of service Throughput Propagation losses Internet of Things

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A miniaturized UWB monopole antenna for sub-6 GHz 5G wireless applications

A miniaturized UWB monopole antenna for sub-6 GHz 5G wireles...

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2023 IEEE Silchar Subsection Conference, SILCON 2023

作者： Panja, Aparna De, Arnab Bhattacharjee, Koyndrik Maity, Somnath Bhattacharya, Ankan Roy, Bappadittya Sarkar, Partha Pratim Bhattacharjee, Anup Kumar National Institute of Technology Deparment of Ece West Bengal Durgapur713209 India Vadlamudi Dept. of Advanced Computer Science and Engineering Vignan's Foundation for Science A.P Guntur India Dr. B C Roy Engineering College Department of Civil Engineering West Bengal Durgapur713206 India Government Women's Polytechnic Deparment of Ece Jharkhand Jamshedpur832108 India Hooghly Engineering & Technology College Dept. of Electronics and Communications Engineering West Bengal Hooghly India VIT-AP University School of Electronics Engneering Amaravati India University of Kalyani Deparment of Engineering and Technological Studeies Kalyani India

ISBN: (纸本)9798350314144

This article describes a miniaturized, ultra-wideband monopole antenna with dimensions of 23.00 x 20.00 x 1.60 mm3 (0.23λ0 x 0.23λ0 x 0.016λ0) designed for sub-6 GHz 5G wireless applications. The suggested layout is compatible with sub-6 GHz 5G, including satellite X-band (7.5-8.5 GHz), ITU n77 (3.3-4.2 GHz), and n79 (4.4-5 GHz) bands, 502.11a WLAN (5.15 - 5.85 GHz), and WiMAX bands (3.5/5.5 GHz). The suggested structure uses a fusion shape of rectangular, triangular, and trapezoidal slits on the ground plane and isosceles triangle, octagonal slot on the metal patch to improve the radiation characteristics and impedance bandwidth. The addition of rectangular slits which are incorporated into the bottom plane just below the microstrip line and trapezoidal-shaped slots shifts the lower cut-off frequency towards the left, while the octagon-shaped slot and the isosceles triangular slit on the radiating patch shift the higher cut-off frequency towards the right. The suggested structure operates over the range from 3.10 to 18.87GHz, having an equivalent fractional bandwidth of 143.56% and a peak gain of around 5.37 dBi. The antenna has a radiation efficiency of 80.00% and displays a decent S11 ≤-10 dB throughout the bandwidth. Results from measurement and simulation are good in agreement. © 2023 IEEE.

关键词： Monopole antennas

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Forecasting of Monkeypox Cases Using Optimized SARIMAX Based Model

Forecasting of Monkeypox Cases Using Optimized SARIMAX Based...

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Electronic engineering (ICEEM), International Conference on

作者： Mahmoud Elshabrawy Marwa M. Eid Abdelaziz A. Abdelhamid El-Sayed M. El-Kenawy Abdelhameed Ibrahim Dept. of Communications & Electronics Delta Higher Institute of Engineering and Technology Mansoura Egypt Faculty of Artificial Intelligence Delta University for Science and Technology Mansoura Egypt Dep. of Computer Science Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Computer Engineering and Control Systems Dept. Faculty of Engineering University Mansoura Egypt

This study presents a dipper-throated-based ant colony optimization (DTACO) with the Seasonal Auto-Regressive Integrated Moving Average with eXogenous factor (SARIMAX) model (DTACO+SARIMAX) to forecast monkeypox cases. The work optimizes the SARIMAX model using grid search cross-validation and fine-tunes its hyperparameters using DTACO to improve prediction accuracy. The suggested model's consistency and accuracy are considerable compared to previous studies. Comparisons with state-of-the-art models validate the proposed model's predictions. DTACO+SARIMAX can be used to control disease and monitor monkeypox. Healthcare organizations and governments can better manage and track the pandemic's course by offering accurate predictions, reducing public panic, and enabling effective pandemic planning. The Analysis of Variance (ANOVA) and Wilcoxon signed-rank tests are conducted on the proposed DTACO-SARIMAX model and compared models.

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Machine Learning Techniques for Detecting DDOS Attacks

Machine Learning Techniques for Detecting DDOS Attacks

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Emerging Smart Technologies and Applications (eSmarTA), International Conference on

作者： Mamoon M. Saeed Husam Nedhal Rashad Mohammed Othman Abdulkafi Hazaea Gazem Rashid A. Saeed Hossam Mohammed Ahmed Morei Aimen Ebdulkreem Thabet Eidah AbdulGuddoos S.A. Gaid Ameen Sami Ameen Saif Al-Uosfi Mohamed Galal Qasem Al-Madhagi Department of Communications and Electronics Engineering Faculty of Engineering University of Modern Sciences (UMS) Yemen Department of Computer Engineering College of Computers and Information Technology Taif University Taif Saudi Arabia Dept. of Communication & Computer Engineering Faculty of Engineering & Information Technology Taiz University Taiz Yemen

The development witnessed by the world of science and technology and the emergence of the Internet, where cybersecurity has become one of the most important areas that are growing rapidly every day, and one of its goals is to maintain access to users at any time. Where it is noted that the biggest enemy for the availability is Distributed Denial of Service (DDoS) attack, which works to prevent access to the service and slow down the service. Through this paper, machine learning will be used to discover the DDoS attack and know its type to be aware of it and take the necessary measures for that. Where the CICDDoS2019 dataset will be used. After it is studied, analyzed, cleaned and the best algorithm was selected. Five classification algorithms (Random Forest, Decision Tree, SVM, Naive Bayes, and xgboost) were used to train and test the data from the datasets, and it can be said that of the five, Random Forest algorithms had the highest level of accuracy (99.95426%).

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Biological age estimation from ECG using Artificial Intelligence approaches

Biological age estimation from ECG using Artificial Intellig...

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Biomedical engineering Conference (JIBEC), Jordanian International

作者： Jana Sleiman Mohamad Daher Mohamad Khalil Ahmad Diab Abdallah Kassem Computer and Communications Engineering Lebanese University Tripoli Lebanon Dep. of Computer Science/Dep. of Computer Science & Information Technology Faculty of Science/Faculty of Applied Sciences & Technology Tripoli Lebanon Electrical Engineering Lebanese University Tripoli Lebanon Biomedical Engineering Lebanese International University Beirut Lebanon ECCE Dept. Faculty Of Engineering Notre Dame University Zouk Mosbeh Lebanon

ISBN: (数字)9798331539542

ISBN: (纸本)9798331539559

This paper explores the application of Artificial Intelligence (AI) techniques in healthcare, specifically focusing on electrocardiogram (ECG) data analysis and biological age estimation. The study begins with an overview of ECG as a diagnostic tool and discusses the integration of Deep Learning (DL) models, particularly Convolutional Neural networks (CNNs), in healthcare for various applications. Previous studies reviewed in this context consistently identify CNNs as the superior model for ECG analysis and prediction tasks. The primary research investigates the use of Machine Learning (ML) algorithms to estimate biological age from ECG data, employing metrics such as Mean Absolute Error (MAE) and variance to evaluate model performance. Subsequently, DL models are implemented and compared, demonstrating superior accuracy in estimating the biological age of new patients. While both ML and DL approaches were initially explored, this paper primarily focuses on deep learning methodologies due to their demonstrated superiority in healthcare applications. The findings highlight the efficacy of deep learning over traditional ML methods, underscoring its potential for enhancing diagnostic accuracy and personalized patient care. For instance, the most accurate deep learning model, the Convolutional Neural Network (CNN), achieved a Mean Absolute Error (MAE) of 1.49 and an R 2 score of 0.53, whereas the best-performing traditional ML model, Random Forest, achieved an MAE of 1.54 and an R 2 score of 0.55. These results clearly indicate the advantage of deep learning models in capturing complex patterns in ECG data, leading to more precise and reliable estimations of biological age.

关键词： Deep learning Maximum likelihood estimation Accuracy Data analysis Biological system modeling Medical services Electrocardiography Data models Convolutional neural networks Random forests

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Cost-effectiveness Analysis of a Shifted Completely Connected Network for Massively Parallel computer Systems

Cost-effectiveness Analysis of a Shifted Completely Connecte...

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Computing Innovation, Intelligence, Technologies and Education (CIITE), International Conference on

作者： Mohammed N. M. Ali M. M. Hafizur Rahman Hejab Al Fawareh Dept. of Computer Science and Technology Xiamen University Malaysia Bandar Sunsuria Sepang Selangor Malaysia Dept. of Comp. Networks and Communications CCSIT King Faisal University Al Ahsa Al Hofuf Saudi Arabia School of Computing and Data Science Xiamen University Malaysia Bandar Sunsuria Sepang Selangor Malaysia

ISBN: (数字)9798350377286

ISBN: (纸本)9798350377293

The Cost-Effectiveness Analysis (CEA) is a crucial tool for comparing the impact of newly developed technologies to their associated costs. CEA evaluates the costs of two or more new products by examining the benefits derived from them. Therefore, analyzing the cost-effectiveness (CE) of any new innovation is essential before beginning the production process. A comprehensive assessment of costs and benefits is necessary to perform an accurate CEA, which should consider the long-term effects of new developments. CEA is applicable for evaluating all new products and technologies across various sectors, including computer *** this paper, the Cost-Effectiveness Factor (CEF) of a proposed parallel computer system utilizing a shifted completely connected network (SCCN) will be analyzed. This system consists of multiple levels and the cost of creating each level will be compared to the benefits obtained from it. Additionally, each level will be compared to other networks with a similar number of processing elements (PEs). To evaluate this network, the cost-effectiveness factor (CEF) will be calculated. Each level of the SCCN demonstrated the lowest CEF when compared to the two-dimensional networks included in the study.

关键词： Technological innovation Costs Accuracy Education Production

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Network-based Intrusion Detection Datasets: A Survey

Network-based Intrusion Detection Datasets: A Survey

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Information technology (ACIT)

作者： Lubna Ali Hassan Ahmed Yahia Abdalla Mohamed Hamad Ahmed Abdallah Mohamed Ali Abdalla Dept. of Electronics Engineering Sudan University of Science and Technology Khartoum Sudan Dept. of Computer Networks and Systems Sudan University of Science and Technology Khartoum Sudan

ISBN: (数字)9798350320244

ISBN: (纸本)9798350320251

The increasing reliance on computers and the internet has increased the need for protection against attacks and security threats. A network-based intrusion detection system (NIDS) is one of the promising research fields that could highly contribute to cyber-attacks detection and mitigation. Datasets are necessary for NIDS training and evaluation. This paper provides a comprehensive survey of publicly available NIDS datasets. The study covers the most used NIDS datasets, each dataset is briefly described along with its main properties and shortcomings. Moreover, the paper highlights the most important dataset characteristics and provides a clear datasets comparison accordingly. Finally, the paper discusses observations and provides some recommendations to help researchers identify future work.

关键词： Training computers Intrusion detection Security Information technology Cyberattack

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Modified Turnstile Antenna Design for Multi-Band and Broadband Applications

Modified Turnstile Antenna Design for Multi-Band and Broadba...

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USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

作者： I-Fong Chen Chia-Mei Fei-Lung Wu Jian-An Xie Dept. of Computer and Communication School of Electronics and Electrical Engineering Dongguan Polytechnic Jinwen University of Science and Technology New Taipei City Taiwan Department of Communications Engineering Feng Chia University Taichung City Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung City Taiwan

ISBN: (数字)9789463968119

ISBN: (纸本)9798350359497

The proposed antenna with a size of 90 mm x 90 mm, and the ground portion is 64 mm x 64 mm, which material is FR4 glass epoxy substrate with the thickness of 1.6 mm, relative permittivity of 4.3 and loss tangent of 0.023, consists of four modified dipole elements and four power dividers, as shown in Figure. 1. For the multi-band and broadband operation, three dipole antennas were shunted to be a dipole element. The electrical-length of the dipole element can be determined from the one quarter-wave length at the 2.45 GHz, 5.5 GHz and 6.525 GHz, for covering 2400 MHz-2500 MHz, 5150 MHz-5850 MHz and 5925 MHz-7125 MHz. In order to operates in various modes such as normal mode and axial mode, the modified four port triple-band microstrip series power divider was designed. In normal mode, it radiates horizontally polarized waves where as in axial mode, it radiates circularly polarized waves. The radiated patterns of the proposed antenna as shown in Figure. 2. The features of the proposed antenna are shown in the Table I. Impressive radiated gains and efficiencies are obtained.

关键词： Power dividers Dipole antennas Conferences Glass Broadband communication Broadband antennas Microstrip

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Multiplexing eMBB and mMTC Services over Aerial Visible Light communications

Multiplexing eMBB and mMTC Services over Aerial Visible Ligh...

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IEEE International Conference on communications (ICC)

作者： Hosein Zarini Mohammad Reza Maleki Narges Gholipoor Mohammad Robat Mili Mehdi Rasti Ali Movaghar Derrik Wing Kwan Ng Ekram Hossain Dept. of Computer Engineering Sharif University of Technology Tehran Iran Dept. of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran Pasargad Institute for Advanced Innovative Solutions (PIAIS) Tehran Iran Centre for Wireless Communications University of Oulu Oulu Finland School of Electrical Engineering and Telecommunications University of New South Wales NSW Australia Dept. of Electrical and Computer Engineering University of Manitoba Canada

Downlink transmission of non-orthogonal multiple access visible light communication systems empowered by an unmanned aerial vehicle (UAV) is considered for multiplexing enhanced mobile broadband (eMBB) and massive machine type communication (mMTC) services. Accordingly, a resource allocation problem of joint transmit power control and motion trajectory design of the DAVs is formulated, whose goal is to characterize a multi-objective trade-off as a weighted sum of the UAVs' power consumption and the perceived quality-of-experience (QoE) of eMBB users, while ensuring the eMBB and mMTC service-specific requirements. We leverage an alternative decomposition and tools from convex optimization and actorcritic multi-agent deep reinforcement learning to address this problem in an iterative fashion. We analytically derive the upper-and lower-bounds on the reward of the DAVs as the learning agents and demonstrate that the proposed resource allocation method outperforms the similar scheme in literature, by up to 17% average reduced power consumption, as well as 12% average perceived QoE gain.

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