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Automation, Computing and Renewable Systems (ICACRS), International Conference on

作者： Loga Prakash. T Tharun Kumar. S Harshith. E Elangovan. T Dept of AI & DS Karpagam Academy of Higher Education Department of Computer Science and Engineering(Cyber Security) Karpagam Academy of Higher Education

ISBN: (数字)9798331532420

ISBN: (纸本)9798331532437

Brain tumors provide a substantial risk to human well-being because of their complex nature and the challenges linked to identifying and treating them at an early stage. Precise diagnosis is crucial for efficient intervention, although existing approaches often encounter constraints in terms of both accuracy and efficiency. This paper presents a new and innovative deep learning (DL) method that utilizes the Efficient Net family to enhance the classification and detection of brain tumors. The investigations show that EfficientNetB0 attained accuracy rates of 97.14%, 97.76%, 97.07%, 97.69%, and 97.07% across several criteria. The focal point of our study is the EfficientNetB3 model, which demonstrated outstanding performance, with an accuracy rate of 97.69%. Our method demonstrates superior effectiveness compared to numerous current state-of-the-art procedures. Our highly accurate DL model ensures enhanced diagnostic reliability and speed in clinical settings, facilitating earlier and more successful treatment solutions. The results of our study indicate a substantial opportunity to enhance patient outcomes in the diagnosis of brain tumors

关键词： Deep learning Renewable energy sources Accuracy Automation Computational modeling Transfer learning Brain tumors Brain modeling Complexity theory Reliability

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Invulnerability Optimization of Communication Network Based on Analog Attack Strategy 11th

Invulnerability Optimization of Communication Network Based ...

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11th International Conference on computer engineering and Networks, CENet2021

作者： Xia, Lingling Ni, Xueli Jing, Zhengjun Liu, Jiayin Zhang, Yan Department of Computer Information and Cyber Security Jiangsu Police Institute Nanjing210031 China College of Computer Engineering Jiangsu University of Technology Changzhou213001 China Jiangsu Province Electronic Data Forensics and Analysis Engineering Research Center Nanjing210031 China Key Laboratory of Digital Forensics of Jiangsu Provincial Public Security Department Nanjing210031 China

ISBN: (纸本)9789811665530

Invulnerability of communication networks directly related to security and reliability of networks has received increasing attention in recent years. In order to enhance the destruction resisting capacity of communication network, we propose a new invulnerability optimization method based on analog attack strategy and present an improved invulnerability measure with consideration of network connectivity and construction cost. The experimental simulations are conducted to construct four different optimized communication networks using analog attack strategy with different indicators of node centrality on the initial network respectively. Results demonstrate that the improved metric used to evaluate the economic benefits of network invulnerability is reasonable, and the proposed topology optimization method can improve the invulnerability of communication network. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Structural optimization

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Development of a prototype of an intelligent system for predicting the quality of dairy manufacture 11

Development of a prototype of an intelligent system for pred...

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11th IEEE International Conference on Intelligent Systems, IS 2022

作者： Smitiukh, Yaroslav Samoilenko, Yuliia Kostiuk, Yuliia Kryvoruchko, Olena Stepashkina, Kateryna National University of Food Technologies Department of Automation and Computer Technologies of Control Systems Kyiv Ukraine State University of Trade and Economics Department of Software Engineering and Cyber Security Kyiv Ukraine

ISBN: (纸本)9781665456562

The technological process of the churning process in continuous butter manufacture were considered. The qualitative indicator of the water content of butter was modeled on the basis of a set of industrial data using an artificial neural network (ANN). The prototype of an intelligent system for predicting of the water content of butter allows to increase the information support of the operator-technologist. The proposed model predicts the water content of butter with an error of less than 2%. The input variables of the forecast model prototype are cream fat content, cream ripening temperature, cream supply temperature, frequency of revolutions of the stirrer of the whipping device, and consumption of the normalizing component. Further research is aimed at the development of a decision support information system for dairy manufacture and should be integrated into the subsystem of automated control of the technological process to ensure proper functioning in real time. © 2022 IEEE.

关键词： Intelligent systems

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New health-state assessment model based on belief rule base with interpretability

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Science China(Information Sciences) 2021年第7期64卷 209-223页

作者： Zhijie ZHOU You CAO Guanyu HU Youmin ZHANG Shuaiwen TANG Yuan CHEN High-Tech Institute of Xi'an Department of Information and Control Engineering Xi'an University of Technology School of Computer Science and Information Security Guilin University of Electronic Technology Department of Mechanical Industrial and Aerospace Engineering Concordia University

Health-state assessment is the foundation of optimal-maintenance decision-making for complex systems to maintain reliability and safety. Generating the assessment results in a convincing and interpretable way to avoid potential risks is of great importance. Belief rule base(BRB) as an interpretable model performs well in health-state assessment. However, the interpretability of a BRB-based model may be lost during the optimization process, which is expressed mainly as three problems: expert knowledge is not effectively used in the optimization process; the optimized rules of BRB may be in conflict with real systems; and some parameters get over-optimized, which may affect experts' initial judgment. Three concepts — "searching intensity", "interpretability constraint of belief distribution", and "rule-activation factor" — are defined to address these problems. Using these concepts, we propose a new health-state assessment model based on the interpretable BRB and a new optimization method to improve the accuracy and preserve the interpretability of the new model. To demonstrate the effectiveness of the proposed model, we conducted an aero-engine case study.

关键词： health-state assessment belief rule base interpretability complex systems

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Comparative Assessment of Brain Tumor Detection Techniques: A Comparative Study

Comparative Assessment of Brain Tumor Detection Techniques: ...

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Advanced Computing & Communication Technologies (ICACCTech), International Conference on

作者： Pooja Dahiya Anshu Sharma Manisha Sharma Vijay Bharti Department of Computer Science and Engineering(Cyber Security) Panipat Institute of Engineering and Technology Samalkha Affiliated by Kurukshetra University Panipat India Department of Computer Science and Engineering Panipat Institute of Engineering and Technology Samalkha Affiliated by Kurukshetra University Panipat India Department of Computer Application Panipat Institute of Engineering and Technology Samalkha Affiliated by Kurukshetra University Panipat India Department of Computer Science and Engineering Apiit SD India Panipat Panipat India

ISBN: (数字)9798331519056

ISBN: (纸本)9798331519063

Medical picture segmentation refers to the process of categorizing the different parts of an image into anatomical components or defining the changes in structure and intensity in relation to the underlying functional process. The primary objective of this research is to analyze atherosclerotic lesions in living organisms using Magnetic Resonance Imaging (MRI). This research primarily aims to utilize computer technology to aid in the diagnosis and assessment of illness, with a particular emphasis on finding vulnerable plaques. MRI is a commonly used technique that helps to detect and forecast brain cancers in different neurological conditions and circumstances. Standard MRI sequences are frequently employed to distinguish various forms of brain tumors through visual examination of their characteristics and analysis of the contrast texture of the soft tissue. The brain tumor detection and classification system are developed using Discrete Wavelet Transform (DWT) and Support Vector Machines (SVMs). An efficient automated method for identifying a potential Region of Interest (ROI) where the existence of a tumor is certain. This study assesses the efficacy of the brain tumor extraction technique using symmetry analysis by calculating the mean and median values of the picture, specifically focusing on precision and sensitivity. Hence, the suggested technique is appropriate for rapid initial tumor extraction rather than precise segmentation.

关键词： Training Support vector machines Image segmentation Visualization Magnetic resonance imaging Brain cancer Transforms Discrete wavelet transforms Standards Tumors

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Detection and Recovery of RFID Harmonic Signal for Wi-Fi Interference

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Journal of Communications and Information Networks 2025年第4期9卷 1-10页

作者： Chao Gong Ping Li Panlong Yang Zhao Lv School of Computer Science and Technology Anhui University Hefei 230000 China Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet Anhui University of Technology Ma'anshan 243032 China School of Computer science School of Cyber Science and Engineering Nanjing University of Information Science and Technology Nanjing 210000 China

In the realm of the Internet of things (IoT), radio frequency identification (RFID) technology is essential for linking physical objects to digital data. The introduction of harmonic technology has expanded RFID's applications by improving sensitivity and enabling communication with wireless fidelity (Wi-Fi) networks. However, this trend faces challenges, notably interference from strong Wi-Fi signals, which impacts RFID-based sensing systems. This paper proposes the WiFID (Wi-Fi and RFID) algorithm, which enables Wi-Fi devices to sense weak RFID harmonic signals. Adaptive subcarrier deallocation minimally reduces Wi-Fi throughput while effectively limiting interference with RFID harmonic sensing. Experimental validation on the universal software radio peripheral (USRP) platform demonstrates that WiFID successfully detects 90% of RFID harmonics at −30 dBm, with only a minimal 4% decrease in Wi-Fi throughput.

关键词： Radiofrequency identification Harmonic analysis Wireless fidelity Power harmonic filters Sensors Interference Throughput Filtering Correlation Vibration measurement

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An Automated Memory Image Forensic Scheme for Linux Systems Based on Containerization technology

An Automated Memory Image Forensic Scheme for Linux Systems ...

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cyber Science and technology Congress (cyberSciTech), IEEE

作者： Ruihao Chen Hui Lin Qingxin Lin Hui Ju College of Computer and Cyber Security Fujian Normal University Fuzhou Fujian China Department of Computer Engineering Fuzhou University Zhicheng College Fuzhou Fujian China

ISBN: (数字)9798331532093

ISBN: (纸本)9798331532109

With the advancement of anti-forensic techniques and network attack technologies aided by fileless methods, traditional forensics techniques based on non-volatile storage devices are increasingly encountering obstacles. Consequently, the forensic analysis of runtime data within memory has become increasingly important. In response to the challenges faced by devices running Linux systems, which are constrained by the multitude of Linux kernel versions and distributions, making memory forensics a non-trivial task, this research proposes an automated scheme that deploys a simulated environment consistent with the target system's Linux kernel based on containerization technology. The scheme extracts the memory data structure table from the simulated environment to assist analysts in analyzing Linux system memory images. Additionally, this proposal introduces an automated analysis of Linux memory images to enhance the efficiency of analysts' work, allowing them to focus their energies on the collation and analysis of more critical evidence information, thereby improving the overall efficiency of memory forensics analysis.

关键词： Image forensics Runtime Nonvolatile memory Linux Memory management Data structures Proposals Data mining Kernel

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Design of Provably Secure Authentication Protocol for Edge-Centric Maritime Transportation System

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IEEE Transactions on Intelligent Transportation Systems 2023年第12期24卷 14536-14545页

作者： Mahmood, Khalid Shamshad, Salman Ayub, Muhammad Faizan Ghaffar, Zahid Khan, Muhammad Khurram Das, Ashok Kumar National Yunlin University of Science and Technology Graduate School of Intelligent Data Science Douliu64002 Taiwan The University of Lahore Department of Software Engineering Lahore54590 Pakistan University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu610054 China National Yunlin University of Science and Technology Department of Computer Science and Information Engineering Douliu64002 Taiwan King Saud University Center of Excellence in Information Assurance Riyadh11653 Saudi Arabia International Institute of Information Technology Center for Security Theory and Algorithmic Research Hyderabad500032 India

The epidemic growth of the Internet of Things (IoT) objects have revolutionized Maritime Transportation Systems (MTS). Though, it becomes challenging for the centralized cloud-centric framework to fulfil the application requirements such as low latency and power utilization. The introduction of the distributed edge-centric framework has recently helped the IoT-enabled MTS to meet these requirements by manipulating the tasks at the edge of the networks. Despite the fact that MTS leverages mobile subscribers by overcoming inherent cloud computing limitations, data security and user privacy requirements in establishing the MTS setup are still non-trivial challenges. In this article, we develop a key agreement solution for mobile users to realize mutual authentication in a single round. Our protocol offers user anonymity to maintain user privacy, and it can prevent physical attacks by physically unclonable functions. Initially, the security analysis is conferred to substantiate our protocol's security persistence or strength. Later, its performance correlation is observed under the assumption of diverse metrics in a predefined empirical setup. The meticulous performance correlation endorses the precedence of our protocol over specified related protocols. © 2000-2011 IEEE.

关键词： Hash functions

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Efficient Hardware Design of a Secure Cancellable Biometric Cryptosystem

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Intelligent Automation & Soft Computing 2023年第4期36卷 929-955页

作者： Lamiaa A.Abou Elazm Walid El-Shafai Sameh Ibrahim Mohamed G.Egila H.Shawkey Mohamed K.H.Elsaid Naglaa F.Soliman Hussah Nasser AlEisa Fathi E.Abd El-Samie Department of Microelectronics Electronics Research InstituteAlnozhaEgypt Department of Electronics and Electrical Communications Engineering Ain Shams UniversityCairoEgypt Department of Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh 11586Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia

Biometric security is a growing trend,as it supports the authentication of persons using conﬁdential biometric *** of the transmitted data in multi-media systems are susceptible to attacks,which affect the security of these *** systems provide sufﬁcient protection and privacy for *** recently-introduced cancellable biometric recognition systems have not been investigated in the presence of different types of *** addition,they have not been studied on different and large biometric *** point that deserves consideration is the hardware implementation of cancellable biometric recognition *** paper presents a suggested hybrid cancellable biometric recognition system based on a 3D chaotic *** rationale behind the utilization of the 3D chaotic cryptosystem is to guarantee strong encryption of biometric templates,and hence enhance the security and privacy of *** suggested cryptosystem adds signiﬁcant permutation and diffusion to the encrypted biometric *** introduce some sort of attack analysis in this paper to prove the robustness of the proposed cryptosystem against *** addition,a Field Programmable Gate Array(FPGA)implementation of the pro-posed system is *** obtained results with the proposed cryptosystem are compared with those of the traditional encryption schemes,such as Double Random Phase Encoding(DRPE)to reveal superiority,and hence high recogni-tion performance of the proposed cancellable biometric recognition *** obtained results prove that the proposed cryptosystem enhances the security and leads to better efﬁciency of the cancellable biometric recognition system in the presence of different types of attacks.

关键词： Information security cancellable biometric recognition systems cryptanalysis 3D chaotic map encryption FPGA

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Hyperspectral Images-Based Crop Classification Scheme for Agricultural Remote Sensing

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computer Systems Science & engineering 2023年第7期46卷 303-319页

作者： Imran Ali Zohaib Mushtaq Saad Arif Abeer D.Algarni Naglaa F.Soliman Walid El-Shafai Department of Mechanical Engineering National Taiwan University of Science and TechnologyTaipei City106335TaiwanChina Department of Electrical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Mechanical Engineering HITEC University TaxilaTaxila Cantt.47080Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia

Hyperspectral imaging is gaining a significant role in agricultural remote sensing *** data unit is the hyperspectral cube which holds spatial information in two dimensions while spectral band information of each pixel in the third *** classification accuracy of hyperspectral images(HSI)increases significantly by employing both spatial and spectral *** this work,the data was acquired using an airborne hyperspectral imager system which collected HSI in the visible and near-infrared(VNIR)range of 400 to 1000 nm wavelength within 180 spectral *** dataset is collected for nine different crops on agricultural land with a spectral resolution of 3.3 nm wavelength for each *** data was cleaned from geometric distortions and stored with the class labels and annotations of global localization using the inertial navigation *** this study,a unique pixel-based approach was designed to improve the crops'classification accuracy by using the edge-preserving features(EPF)and principal component analysis(PCA)in *** preliminary processing generated the high-dimensional EPF stack by applying the edge-preserving filters on acquired *** the second step,this high dimensional stack was treated with the PCA for dimensionality reduction without losing significant spectral *** resultant feature space(PCA-EPF)demonstrated enhanced class separability for improved crop classification with reduced dimensionality and computational *** support vector machines classifier was employed for multiclass classification of target crops using *** classification performance evaluation was measured in terms of individual class accuracy,overall accuracy,average accuracy,and Cohen kappa *** proposed scheme achieved greater than 90%results for all the performance evaluation *** PCA-EPF proved to be an effective attribute for crop classification using hyperspectral imaging in the VNIR *** proposed scheme

关键词： Hyperspectral imaging visible and near-infrared edge preserving feature dimensionality reduction crop classification

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