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5th International Conference on Trends in Computational and Cognitive Engineering, TCCE 2023

作者： Gupta, Amritesh Kumar Dwivedi, Rajendra Kumar Department of Information Technology and Computer Application Madan Mohan Malaviya University of Technology Gorakhpur Gorakhpur India

ISBN: (纸本)9789819719228

Many organizations use tendering including government to obtain goods and services from the providers of the service and manufacturing companies. There has been an advanced evolution in the process from traditional hardcopy-based to modern electronic-based tendering. Since in the present scenario Internet is being used there are many security implications that can be associated with it. Blockchain having decentralization of information and other features like immutability can be used as a step to mitigate the implications. In this paper, a distributed e-tendering system based on smart contracts and hybrid cryptography is explored. The design consists of sections based on the way the tendering and bidding organization participates like creation and publication of tender by the tendering organization, bidding process by the bidder, evaluations of the proposed bid, and selecting the best one to declare the winner. Maintaining transparency, fairness, and security is kept in mind throughout the process which is the main motive of this paper. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Smart contract

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Security Enabled Supply-Chain System Implementation Using Blockchain Integration with Hyperledger and IPFS Techniques 5

Security Enabled Supply-Chain System Implementation Using Bl...

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5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Gupta, Amritesh Kumar Dwivedi, Rajendra Kumar Madan Mohan Malaviya University of Technology Dept. of Information Technology and Computer Application Gorakhpur India

ISBN: (纸本)9798350383522

One of the important areas that needs attention is supply chain in this fast expansion of globalization. There are numerous tiny parts that are summed up to obtain an end and furnished product be it agricultural goods in food supply chain or even other goods such as electronics. Now the quality of the final product depends upon the quality of the raw materials used. Since raw materials are manufactured, distributed, and sold globally, ensuring the integrity and security proposes a challenging task due to widespread counterfeit, cloned items, and other infiltration of untrusted items. The proposed work will counter these issues by not only providing traceability but also empowering transparency through Hyperledger. Along with these features, bridges are added to make the transfer of assets such as payments across different blockchains. © 2024 IEEE.

关键词： Blockchain Consensus Internet of Things (IoT) Smart Contracts Supply Chain management

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Designing A Secure Large Scale E -Voting System Leveraging Sharding Blockchain with Interoperability Protocol and Consensus Mechanism 2

Designing A Secure Large Scale E -Voting System Leveraging S...

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2nd IEEE International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, ICIITCEE 2024

作者： Maurya, Alka Dwivedi, Rajendra Kumar Madan Mohan Malaviya University of Technology Dept. of Information Technology and Computer Application Gorakhpur India

ISBN: (纸本)9798350306415

The advent of electronic voting (e-voting) systems has promised greater accessibility, efficiency, and transparency in the process of electoral. However, by adopting e-voting systems, they bring forth significant challenges, primarily related to security and scalability. Old e-voting systems encounter threats such as vote manipulation and denial-of-service attacks, making it imperative to design robust and secure solutions. This research focuses on addressing these challenges through a collaborative approach utilizing sharding technology with interoperability enabling it to handle a vast number of votes simultaneously without compromising performance or security. Recognizing the importance of seamless data exchange, our e-voting system places a strong emphasis on interoperability. The consensus mechanism providing rapid transaction finality, enhanced security, and resilience against malicious actors. It ensures the integrity in the process of voting and safeguards against alterations. We present a pioneering approach to reduce all kind of challenges in existing model by giving a secure e-voting that harnesses the power of sharding blockchain, interoperability, and a novel consensus mechanism. The analysis of blockchain structure that provide blockchain as a service initiates the article. Then, based on blockchain technology, we suggest a unique electronic voting method. That resolves all the issues we found. This reduces the cost of holding a national poll and enhances security. © 2024 IEEE.

关键词： Consensus Mechanism E-Voting System Interoperability Protocol security Sharding Blockchain Smart Contract

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Detecting Deceptive News in Social Media Using Supervised Machine Learning Techniques 6th

Detecting Deceptive News in Social Media Using Supervised Ma...

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6th International Conference on information and Communication technology for Intelligent Systems, ICTIS 2021

作者： Malviya, Anshita Dwivedi, Rajendra Kumar Department of Information Technology & Computer Application MMMUT Gorakhpur India

ISBN: (纸本)9789811935749

Our society has witnessed numerous incidents concerning fake *** media has always played a significant role in its *** with notorious mindsets often are the generators and spreaders of such *** mischievous people spread the fake news without even realizing the effect it has on naive *** believe on the fake news and start behaving *** news appeals to our *** plays with our feelings, and it can make us angry, happy, or ***, fake news can lead to hatred or anger toward a specific ***, people easily befool each other using social media as a tool to spread the fake *** this paper, we proposed a machine learning-based model for detection of such deceptive news which creates disturbances in our *** model is implemented in *** used machine learning algorithms, *** regression, multinomial Naive Bayes, passive-aggressive classifier, and multinomial classifier with *** vectorization techniques have been used for evaluation of *** show that the passive-aggressive classifier using Tf-idf vectorization outperforms others in terms of accuracy to detect the fake news. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Social networking (online)

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Air Quality Prediction Using Supervised Machine Learning Techniques 6th

Air Quality Prediction Using Supervised Machine Learning Tec...

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6th International Conference on information and Communication technology for Intelligent Systems, ICTIS 2021

作者： Shrivastava, Atul Lal Dwivedi, Rajendra Kumar Department of Information Technology and Computer Application MMMUT Gorakhpur India

ISBN: (纸本)9789811935701

To maintain good air quality, the observation of pollution levels framework estimates a variety of air contaminants in various locations. In the current circumstances, it is the most desirable concern. The release of hazardous gases into the environment by businesses, vehicles, and other sources pollutes the air. These days, the level of pollution in the air has surpassed fundamental levels, and the amount of contamination in several major urban areas has exceeded the public authority’s air quality list criteria. It has a tremendous impact on a person’s health. With advances in machine learning technology, it is now possible to forecast the future of toxins based on historical data. In this paper, we described a device that can collect the current toxic gases. With the help of the previous records of toxic gases, we executed a computation using machine learning techniques to detect the contamination in the air. It would be a good idea to use machine learning to forecast the future contamination information. The information gathered is saved in an Excel document for further analysis. To collect contamination data, the respective sensors are used on Arduino. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Contamination

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A Novel Stacked Network Method for Enhancing the Performance of Side-Channel Attacks

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computers, Materials & Continua 2025年第4期83卷 1001-1022页

作者： Zhicheng Yin Lang Li Yu Ou College of Computer Science and Technology Hengyang Normal UniversityHengyang421002China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application HengyangNormal UniversityHengyang421002China

The adoption of deep learning-based side-channel analysis(DL-SCA)is crucial for leak detection in secure *** previous studies have applied this method to break targets protected with *** the increasing number of studies,the problem of model *** research mainly focuses on exploring hyperparameters and network architectures,while offering limited insights into the effects of external factors on side-channel attacks,such as the number and type of *** paper proposes a Side-channel Analysis method based on a Stacking ensemble,called *** our method,multiple models are deeply *** the extended application of base models and the meta-model,Stacking-SCA effectively improves the output class probabilities of the model,leading to better ***,this method shows that the attack performance is sensitive to changes in the number of ***,five independent subsets are extracted from the original ASCAD database as multi-segment datasets,which are mutually *** method shows how these subsets are used as inputs for Stacking-SCA to enhance its attack *** experimental results show that Stacking-SCA outperforms the current state-of-the-art results on several considered datasets,significantly reducing the number of attack traces required to achieve a guessing entropy of ***,different hyperparameter sizes are adjusted to further validate the robustness of the method.

关键词： Side-channel analysis deep learning stacking ensemble learning model generalization

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Using Machine Learning to Identify Autism Spectrum Disorder Across All Ages 2

Using Machine Learning to Identify Autism Spectrum Disorder ...

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2nd IEEE International Conference on IoT, Communication and Automation technology, ICICAT 2024

作者： Kumar, Anil Jaiswal, Umesh Chandra Madan Mohan Malaviya University of Technology Information Technology & Computer Application U.P Gorakhpur India

ISBN: (纸本)9798350368109

Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting children's societal and cognitive skills, leading to recurring behaviors, limited interests, communiqué challenges, and difficulties in societal interaction. Early detection of ASD can mitigate its sternness and long-term impact. Federated learning (FL) is a cutting-edge technique useful for precise ASD diagnoses in the early stages or preventing prolonged effects. This article applies FL technique uniquely to detect autism. It trains support vector machine (SVM) and local logistic regression (LR) classifiers for ASD classification in both children and adults. Results from classifiers affected by FL are sent to a central server, where a meta-classifier is trained to identify the most accurate approach for detecting ASD in both children and adults. Four distinct datasets related to ASD patients, each comprising over 700 records of affected individuals, were acquired from various repositories for feature extraction. The suggested model accurately predicted ASD in children with a 97% accuracy rate and in adults with an 85% accuracy rate. © 2024 IEEE.

关键词： Federated learning

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Multi Terminal Adaptive Layout Based on HTML 5 and CSS3 1

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作者： Zheng, Wei Zhou, Qiang Ou, Wenjisi Department of Computer Technology Jiangxi Vocational and Technical College of Information Application Nanchang330043 China

ISBN: (数字)9789819719792

ISBN: (纸本)9789819719785

Layout is a key link in web page design. In addition to PC, there are a large number of mobile terminals for accessing web pages. When the fixed layout is migrated to the mobile terminal, the user experience is likely to be insufficient. For these devices with different resolutions, CSS3 technology adopts different methods to solve the problem. This paper proposes a responsive layout solution based on HTML 5+ CSS3. First, use HTML5 semantic structural tags to transform DIV tags with semantic requirements in fixed layouts. Then through CSS3's media query and flexible layout, we design the responsive layout of the web page layout, and set the responsive code for pictures and text. The experimental research shows that this scheme realizes the free switching and smooth transition of web pages between different terminals and improves the user experience. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Data fusion

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Survey on Services and Support in Cloud Computing Environment

Survey on Services and Support in Cloud Computing Environmen...

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International Conference on VLSI and Microwave and Wireless Technologies, ICVMWT 2021

作者： Pandey, Abhishek Kumar Singh, Sarvpal Department of Information Technology and Computer Application MMMUT UP Gorakhpur India

ISBN: (纸本)9789811903113

Cloud computing serves a large portion of enterprises and intellectuals with the facility of computation as per their demand and proves to be successful. There are multiple services being provided by numerous cloud service providers (CSPs) along with widespread range of framework for software. Also, the client possesses some requirement of application and capabilities of system that are not outsourced. Thus, making it difficult to fit everything under one cloud environment. In this paper, we explain the services and platforms provided by cloud service providers. We also showcase a study, comparative in nature, detailing the services by open-source-based cloud computing environment. The paper gives justifications to support which cloud environment a client is comfortable with according to the requirement and resources of client. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Open source software

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Deep semantic network for hyperspectral image classification using enhanced bifurcation and light self-Gaussian attention mechanism

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Journal of Applied Remote Sensing 2025年第1期19卷

作者： Wan, Xiaoqing Chen, Feng He, Yupeng Hengyang Normal University College of Computer Science and Technology Hengyang China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang China

Convolutional neural networks (CNNs) are widely used in hyperspectral image (HSI) classification due to their strong feature extraction capabilities. Nevertheless, CNN-based classification methods face challenges in capturing deep semantic features effectively, and as the number of layers increases, computational expenses escalate significantly. In addition, spatial locations and spectral bands in HSI data have varying discriminative power. To address these challenges, we propose a novel approach, DSNet, which integrates a multiway attention mechanism with a CNN-based deep semantic network to improve HSI classification. First, we extract shallow abstract features using a module that combines 3D and 2D convolution layers, followed by transformation through a Gaussian-weighted feature tokenizer. Second, we introduce an enhanced bifurcation attention mechanism with dynamically adjustable perceptual ranges to capture spatial semantic information from both horizontal and vertical perspectives. Third, a convolutional multilayer perceptron module is employed to extract high-level feature representations in both spatial and spectral dimensions, which are then refined by a light self-Gaussian attention module. Finally, a linear layer is used to determine the sample labels. Experiments conducted on three publicly available hyperspectral datasets illustrate that the proposed DSNet achieves superior performance compared with several contemporary state-of-the-art methods, even when trained with limited samples. © 2025 Society of Photo-Optical Instrumentation Engineers (SPIE).

关键词： Convolutional neural networks

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