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A hybrid optimization approach for securing cloud-based e-health systems

Multimedia Tools and Applications 2025年第16期84卷 16525-16560页

作者： Altherwi, Abdulhadi Ahmad, Mohammad Tauheed Alam, Md. Moddassir Mirza, Hidayath Sultana, Nazia Pasha, Amjad Ali Sultana, Nishat Khan, Asif Irshad Alam, Md Mottahir Azim, Rezaul Department of Industrial Engineering College of Engineering and Computer Science Jazan University PO Box. 706 Jazan45142 Saudi Arabia College of Medicine King Khalid University Abha Saudi Arabia Department of Health Information Management and Technology College of Applied Medical Sciences University of Hafr Al-Batin Hafr Al-Batin Saudi Arabia Department of Electrical and Electronic Engineering College of Engineering and Computer Science Jazan University Jazan45142 Saudi Arabia Government Medical College Siddipet Ensanpalli Siddipet District Telangana502114 India Aerospace Engineering Department King Abdulaziz University Jeddah21589 Saudi Arabia Department of Business Administration Applied College Jazan University P. O. Box 706 Jazan45142 Saudi Arabia Department of Computer Science Aligarh Muslim University Uttar Pradesh Aligarh202002 India Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz Jeddah21589 Saudi Arabia Department of Physics University of Chittagong Chattogram4331 Bangladesh

In modern healthcare, cloud-based e-health technology offers substantial benefits but faces significant security challenges. Sensitive patient data is vulnerable to cyber threats during transmission and storage, potentially enabling unethical collaboration between healthcare professionals and cloud storage providers. This paper aims to develop a robust security framework that safeguards patient privacy and prevents unauthorized access to sensitive medical information in remote patient health monitoring systems. The study presents an Artificial Hybrid Optimization with an Attribute-Based Encryption (AHO-ABE) model. The model leverages cryptographic techniques and hybrid optimization to enhance data security. Specifically, whale optimization (WO) is used for efficient key generation, while sheep flock optimization (SFO) is employed for continuous network surveillance. Experimental results demonstrate that the AHO-ABE model significantly enhances data security, outperforming existing RPM-MEC, AID, AI-HCS, and IoT-HMS approaches. The model exhibits superior resilience against unauthorized access and data breaches, achieving a 5 ms execution time, 850 kbps throughput, 0.121 mJ energy usage, and 4 s latency. Combining cryptographic techniques with hybrid optimization algorithms, the AHO-ABE model provides a robust framework for safeguarding sensitive medical information. This approach ensures the integrity and confidentiality of patient data in remote healthcare settings, offering an effective solution against high-performance cyber attacks. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Diagnosis

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UWB Channel Modeling and Simulation with Continuous Frequency Response

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China Communications 2022年第11期19卷 88-98页

作者： Kai Mao Qiuming Zhu Xijuan Ye Ruirui Feng Fuqiao Duan Yang Miao Maozhong Song The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space College of Electronic and Information EngineeringNanjing University of Aeronautics and AstronauticsNanjing 211106China The Radio Systems Faculty of Electrical Engineering Computer Science and Mathematics(EEMCS)University of Twentethe Netherlands

Ultra-wideband(UWB)technology is a prospective technology for high-rate transmission and accurate localization in the future communication ***-of-art channel modeling approaches usually divide the UWB channel into several sub-band channels and model them *** considering frequency-dependent channel parameters,a novel analytical UWB channel model with continuous frequency response is *** composite effect of all frequency components within the UWB channel on the channel impulse response(CIR)of delay domain is derived based on the continuous channel transfer function(CTF)of frequency *** this basis,a closed-form simulation model for UWB channels and geometry-based parameter calculation method are developed,which can guarantee the continuity of channel characteristics on the frequency domain and greatly reduce the simulation ***,the proposed method is applied to generate UWB channel with 2 GHz bandwidth at sub-6GHz and millimeter wave(mmWave)bands,*** channel measurements are also carried out to validate the proposed *** simulated CIR and power gain are shown to be in good agreement with the measurement ***,the comparison results of power gain and Doppler power spectral density(DPSD)show that the proposed UWB channel model Received:Apr.23,2022 Revised:Jun.09,2022 Editor:Wei Fan achieves a good balance between the simulation accuracy and efficiency.

关键词： ultra-wideband(UWB)channel continuous frequency response frequency-dependent channel parameters simulation model channel measurement

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IoT-based tire pressure monitoring system for air and temperature pressure using MPX5500D and LM35 sensor 8

IoT-based tire pressure monitoring system for air and temper...

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8th IEEE International Conference on Computing, engineering and Design, ICCED 2022

作者： Pangestu, Agung Sodikin, Iing Yusro, Muhammad Sapundani, Rum Al Hakim, Rosyid Ridlo Wilyanti, Sinka Jakarta Global University Faculty of Engineering and Computer Science Electrical Engineering Department Depok Indonesia State University of Jakarta Faculty of Engineering Department of Electronic Engineering Jakarta Indonesia University of Muhammadiyah Purwokerto Electromedical Engineering Technology Faculty of Health Science Purwokerto Indonesia Jakarta Global University Graduate Program in Electrical Engineering Faculty of Engineering and Computer Science Depok Indonesia

ISBN: (纸本)9781665453899

Research has been carried out to monitor vehicle tires before they are used and can reduce damage, including overcoming vehicle fuel waste because air pressure is continuously monitored. This research aims to utilize the MPX5500DP sensor as an air pressure device, the LM35 sensor as a temperature reader, and a buzzer based on IoT to build a tire pressure monitoring system (TPMS). The MPX5500DP and LM35 sensor inputs to the Arduino Uno microcontroller are distributed by the NodeMCU, fitted with a Wi-Fi module. The Blynk application sends and displays the data on a smartphone using the IoT-based. Based on this research, data on the percentage of errors in monitoring air pressure and tire temperature on vehicles were obtained by comparing the data to the pressure gauge and thermometer: 1-the results of the average reading of the sensor error value. MPX5500DP air pressure against pressure gauge is 5.3%. 2-the average reading of the LM35 sensor error value on the temperature thermometer is 6.8%. With this research, the air pressure and temperature in the tires can be monitored in real-Time via a smartphone using the IoT-based. © 2022 IEEE.

关键词： Thermometers

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Properties of the Reed-Muller-Fourier Spectra of Maiorana-McFarland Bent Functions 53

Properties of the Reed-Muller-Fourier Spectra of Maiorana-Mc...

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53rd IEEE International Symposium on Multiple-Valued Logic, ISMVL 2023

作者： Moraga, Claudio Stanković, Radomir S. Stanković, Milena Tu Dortmund University Faculty of Computer Science Dortmund44221 Germany Faculty of Electronic Engineering Department of Computer Science Niš18000 Serbia Mathematical Institute Serbian Academy of Sciences and Arts Belgrade11000 Serbia

The Reed-Muller-Fourier spectrum of p-valued (p prime, p > 2) Maiorana-McFarland bent functions is studied. It is shown that this spectrum exhibits a unique structure, which allows characterizing these functions an... 详细信息

ISBN: (纸本)9781665464161

关键词： Fourier transforms

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Algorithmic Trading Model for Stock Price Forecasting Integrating Forester with Golden Ratio Strategy 12

Algorithmic Trading Model for Stock Price Forecasting Integr...

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12th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2024

作者： Govindan, Niranjana Baskaran, Bharathi Azizan, Azizul Yakub, Fitri Dhamanti, Inge Dhaya, C. SRMIST Faculty of Engineering & Technology Department of Computing Technologies Kattankulathur Chennai India Faculty of Intelligence Kuala Lumpur Malaysia Malaysia-Japan International Institute of Technology UTM Electronic System Engineering Department Kuala Lumpur Malaysia Universitas Airlangga Faculty of Public Health Department of Health Policy and Administration Surabaya Indonesia Adhiparasakthi Engineering College Department of Computer Science and Technology Melmaruvathur India

ISBN: (纸本)9798350340204

Algorithmic trading has emerged as a powerful tool for making data-driven trading decisions in financial markets. In this paper, we present an innovative algorithmic trading model for stock price forecasting that integrates forest-based machine learning algorithms with the Golden Ratio strategy. Our proposed approach aims to leverage the predictive power of machine learning while incorporating insights from technical analysis to enhance trading performance and profitability. The methodology involves data collection and preprocessing, feature engineering, model development, and performance evaluation. Historical stock price data, financial indicators, and sentiment analysis data are gathered and pre-processed to ensure data quality. Feature engineering techniques are applied to extract relevant features, and forest-based machine learning algorithms are trained on the data to forecast stock prices. The Golden Ratio strategy is integrated into the trading model to identify the entry point and exit point. Empirical validation and performance evaluation demonstrate the effectiveness and robustness of the proposed approach. Through back testing and simulation-based testing, we evaluate the model's accuracy, profitability, and risk-adjusted returns. Our findings contribute to the advancement of algorithmic trading research and practice, offering insights into the potential benefits of combining machine learning algorithms with established trading strategies. The proposed hybrid model incorporates Golden Ratio Strategy, integrating Random Forest (RF). The results of the proposed random forest with Golden Ratio Strategy are compared with the results of individual model. This comparison helps in proving the efficiency of the proposed model. © 2024 IEEE.

关键词： Adversarial machine learning

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Processing in Memory for Mathematics of Arrays Operations

Processing in Memory for Mathematics of Arrays Operations

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2022 International Conference on Power, Energy and Innovations, ICPEI 2022

作者： Grout, Ian Mullin, Lenore Department of Electronic and Computer Engineering Faculty of Science and Engineering University of Limerick Limerick Ireland Department of Computer Science College of Engineering and Applied Sciences University at Albany SUNY Albany United States

ISBN: (数字)9781665460194

ISBN: (纸本)9781665460194

Processing In Memory (PIM), also referred to as Processor in Memory, is the integration of a processor with RAM (Random Access Memory) on a single Integrated Circuit (IC). In this paper, the concept of PIM is developed to support memory read/write requirements for Mathematics of Arrays (MoA) operations that implement tensor inner and outer products. The concept for MoA in PIM supports the integration of the processing operations and data storage memory, allowing for increases in processing speed and memory data transfer rate, and can support decreases in memory access latency and power usage. © 2022 IEEE.

关键词： Data transfer

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A Comprehensive Survey of Intrusion Detection System Using Machine Learning and Deep Learning Approaches 10

A Comprehensive Survey of Intrusion Detection System Using M...

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10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024

作者： Abhiram, Kotnur Muthusamy, Hariharan Ravindran, Sindhu Vijean, Vikneswaran Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India National Institute of Technology Uttarakhand Department of Electronis Engineering Uttarakhand Srinagar Garhwal246174 India Universiti Malaysia Perlis Faculty of Electronic Engineering & Technology Arau Pauh Putra Perlis02600 Malaysia

ISBN: (纸本)9798350384369

The necessity for computer networks' use is expanding quickly, which raises problems with preserving network secrecy, availability, and integrity. Intrusion can be defined as an intentional breach of security rules within a secured network. Such intrusions can be identified by an Intrusion Detection system which searches for any malicious actions and recognized dangers within a secured network. Intrusion detection systems patrol the traffic passing through computer systems and give out notifications when they do. Recently, an immense upsurge in cyber-attack cases on computer networks has imposed the need for an effective Intrusion detection system than ever before. Nowadays, network administrators are utilizing multivarious kinds of Intrusion Detection Systems (IDS), in order to monitor network traffic for malicious and unauthorized activities. This review paper focuses on various research works that has developed an approach for evaluating or identifying IDS using many kinds of Machine Learning (ML) and Deep Learning (DL) techniques. © 2024 IEEE.

关键词： Network intrusion

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EXPERIMENTAL CHARACTERIZATION OF SIGNAL FADES IN INDOOR LOW-POWER WIRELESS SYSTEM 57

EXPERIMENTAL CHARACTERIZATION OF SIGNAL FADES IN INDOOR LOW-...

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57th Annual International Telemetering Conference, ITC 2022

作者： Milic, Dejan Djordjevic, Goran T. Vasic, Bata Makal, Jaroslaw Vasic, Bane Faculty of Electronic Engineering University of Nis Nis Serbia Faculty of Electrical Engineering Bialystok University of Technology Bialystok Poland Electrical and Computer Engineering Department University of Arizona Tucson United States

We perform statistical characterization of the wireless channel between the low-power transmitter and the receiver moving along the straight path in laboratory conditions. Our aim is to process the measurement results of the signal level variations and propose a model of fading suitable for analytical analysis. In addition, we will determine the appropriate parameter values for the proposed model that describes the statistics of signal intensity with random changes. Based on the measured values, in addition to the first order statistical characteristics, we will determine the second order characteristics, such as level crossing rate and average fade duration. These values are important in estimating the probability of error and ergodic capacity, as well as in the adequate design of the interleaver and error-correction codes. © 2022 International Foundation for Telemetering. All rights reserved.

关键词： Error correction

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A High Isolation Ku-Band Dual-Polarized Phased Array With C-Shaped and H-Shaped Slots Aperture-Coupled Feeding

A High Isolation Ku-Band Dual-Polarized Phased Array With C-...

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IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)

作者： Song Zhou Pengfei Yu Wenhao Feng Yang You Yunlong Lu JiFu Huang Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Faculty of Electrical Engineering and Computer Science East China Research Institute of Electronic Engineering Hefei China

ISBN: (数字)9798331520717

ISBN: (纸本)9798331520724

A dual-polarized phased array for Ku-band satellite communications is proposed. Multilayer radiation patches is excited by aperture-coupled feeding of C-shaped and H-shaped slots for horizontal and vertical polarization. The C-shaped and H-shaped slots T-orthogonal configurations are ingeniously designed with distances, apart to achieve high isolation between ports and full ku-band bandwidth coverage. The proposed dual-polarized antenna element has 36.5% simulated -10 dB impedance bandwidth (BW) in the range of 10.42 GHz to 15.06 GHz for port 1, and 35.3% simulated -10 dB impedance BW in the range of 10.45 GHz to 14.94 GHz for port 2, with port isolation less than -35 dB. For the 1×8 array, the horizontal cross-polarization is less than -21 dB with less than 6.8 dB gain reduction within the ± 60° beam scanning range, and the vertical cross-polarization is less than -26 dB with less than 5.3 dB gain reduction.

关键词： Phased arrays Bandwidth Ku-band Aperture antennas Microwave antenna arrays Broadband communication Broadband antennas Impedance Satellite communications Gain

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ChatGPT in IoT Systems: Arduino Case Studies 33

ChatGPT in IoT Systems: Arduino Case Studies

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33rd IEEE International Conference on Microelectronics, MIEL 2023

作者： Petrovic, N. Konicanin, S. Suljovic, S. University of Niš Faculty of Electronic Engineering Department of Computer Science Niš18000 Serbia The Academy of Applied Technical Studies Belgrade Belgrade11000 Serbia

ISBN: (纸本)9798350347760

Since the beginning of this year, the novel large language model (LLM) based ChatGPT conversational agent has been in spotlight, due to its comprehensiveness across many fields - from novel writing to playing board games. In this paper, it is explored how it can be leveraged within IoT systems, taking into account both the novel scenarios enabled relying on ChatGPT's power of question answering and software development as well. As example, two case studies related to Arduino platform are considered: 1) ChatGPT-based predictions on sensor data collected by Arduino 2) model-driven automated Arduino code generation. © 2023 IEEE.

关键词： Software design

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