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Designing blockchain based secure autonomous vehicular internet of things (IoT) architecture with efficient smart contracts

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International Journal of information technology (Singapore) 2025年第2期17卷 1207-1223页

作者： Hemani Singh, Dayashankar Dwivedi, Rajendra Kumar Department of Information Technology and Computer Application Madan Mohan Malaviya University of Technology UP Gorakhpur India

The future of autonomous vehicles is exciting and holds significant potential for transforming transportation. The future is bright, but these vehicles require a high degree of connectivity complex software to function effectively. This connectivity, however, can also create a pathway for cyberattacks. If a hacker gains access to a connected vehicle, they may be able to control its systems, steal data, or cause it to malfunction. Additionally, the software systems might have flaws or vulnerabilities that intruders could take advantage of. The paper describe how blockchain technology can help to create a tamper-proof and transparent system that enables secure sharing of data between the nodes of autonomous vehicular (AV) network. A smart contract is utilized to establish predefined rules and conditions for data sharing and access. The paper proposes a efficient approach for securing the information of AVs and improving the safety and reliability of AV networks. In this proposed work, smart contracts are implemented using solidity language and deployed a blockchain using Ganache, and truffle development framework to create a test system while MATLAB is utilized for analysis. And the system configurations are Intel Core i5 CPU (2.30 GHz and 8 GB RAM). © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of computer applications and Management 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s);author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

关键词： Autonomous vehicles Blockchain Fan-Vercauteren Smart contracts

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Enabling Security in Healthcare IoT System Using Blockchain with Efficient Consensus Protocols and Smart Contracts 6th

Enabling Security in Healthcare IoT System Using Blockchain ...

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6th International Conference on Recent Innovations in Computing, ICRIC 2023

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

ISBN: (纸本)9789819778614

Electronic Medical Records (EMRs) in hospitals are generally handled by a centralized cloud provider. However, it creates one solitary area of vulnerability, and who are the real owners may lose track of them. To protect the sharing of EMRs among various entities involved in the smart healthcare system, this study seeks to build a smart contract-based access control system on top of a distributed ledger with blockchain. For this, we recommend using smart contracts in four different ways for user authentication. In the proposed system, the hashes of the EMRs are created and added to the Ethereum blockchain. The EMRs themselves are encrypted and saved in the cloud utilizing the cryptographic functions of Elliptic Curve Cryptography (ECC) and Edwards-Curve Digital Signature Algorithm (EdDSA), considering both the massive volume of patient data and the ledger's block size. Performance evaluation with a private Ethereum system is used to observe how well the recommended access control architecture works in the real-time smart healthcare system. Results show that the proposed model outperforms the existing schemes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electronic health record

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application of adaptive guard channel reservation under hard handoff constraint in wireless cellular network

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International Journal of Wireless and Mobile Computing 2025年第2期28卷 170-185页

作者： Sahu, Promod Kumar Pati, Hemanta Kumar Pradha, Sateesh Kumar Department of Computer Science and Application Utkal University Vani Vihar Odisha Bhubaneswar India Department of Computer Science and Engineering International Institute of Information Technology Bhubaneswar Odisha Bhubaneswar India

Voice is the king of communication in wireless cellular network (WCN). Again, WCNs provide two types of calls, i.e., new call (NC) and handoff call (HC). Generally, HCs have higher priority than NCs because call dropping gives negative impact to users as compared to call blocking. So, to handle this problem some channels are reserved for HCs. If more channels are reserved for HCs, then handoff call dropping probability (HCDP) decreases at the same time as new call blocking probability (NCBP) increases;if fewer channels are reserved for HCs, HCDP increases and NCBP decreases. If channels are reserved for HCs by considering target HCDP then HCDP will be below the target and NCBP will be minimum for that target. So, keeping this in mind in this paper, we propose a mathematical model that estimates optimal number of guard channels (GCs) for HCs by considering target HCDP and keeping NCBP minimum. The mathematical model proposed assume static traffic parameters. However, in reality, the user traffic is dynamic and usually inherited through its testbed implementation. To obtain optimal performance we propose an adaptive GC reservation scheme by considering hard handoff constraint while implementing this model through testbed. Finally, we have verified testbed results with those of the model-based approach applying the parameters of different Global System for Mobile Communication (GSM) standards to evaluate its applicability to real systems. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Testbeds

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Enhancing Scalability in Sharding Blockchain via Interoperability Protocol 5th

Enhancing Scalability in Sharding Blockchain via Interoperab...

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

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

ISBN: (纸本)9789819719228

Blockchain technology has shown immense promise in revolutionizing various industries by offering secure and open decentralized solutions. Popular blockchain networks still struggle with scalability, which limits their potential for widespread adoption. A suggested alternative, sharding, divides the blockchain into more manageable, smaller chunks to boost throughput and transaction capacity. Sharding is the extensively used approach to the trilemma of simultaneously attaining decentralization, security, and scalability in traditional blockchain systems. Although sharding has many advantages, it also poses problems with inter-shard communication and data consistency. The focus of this thesis is to explore how interoperability between shards can be leveraged to enhance scalability in sharding blockchains. Our goal is to increase the blockchain ecosystem's scalability, efficiency, maintaining transparency, security, throughput, and usability by enabling seamless communication and data sharing between shards. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Blockchain

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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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Enhanced Security in e-Tendering System Using Blockchain with Efficient Smart Contracts and Hybrid Cryptography 5th

Enhanced Security in e-Tendering System Using Blockchain wit...

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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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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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Detecting and recognizing faces from video images using multi-deep CNN based rank-level fusion 2

Detecting and recognizing faces from video images using mult...

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2nd International Conference on Advancement in Computation and computer Technologies, InCACCT 2024

作者： Ghosh, Manas Sing, Jamuna Kanta RCC Institute of Information Technology Department of Computer Application Kolkata India Jadavpur University Department of Computer Science & Engineering Kolkata India

ISBN: (纸本)9798350371314

The advent of deep neural networks has provided a competitive edge in facial analysis efforts, especially the detection and recognition of faces from video images. This paper outlines a methodology wherein a face database is created from an outdoor video clip, and a rank-level fusion mechanism has been proposed for face recognition using a database that makes use of the probabilities produced by the softmax functions of multiple deep convolutional neural network (CNN) models. These probabilities are referred to as certainty indices for the potential classes to which a test sample may belong. For each of the CNN models, fuzzy ranks are obtained for a subset of classes with the top certainty indices by applying a Gaussian distribution function followed by a complementation operation. For each class, appearing in one or more subsets corresponding to deep network models, average of the certainty indices is complemented and fused with the sum of complemented fuzzy ranks. While calculating the cumulative sum of the fuzzy ranks, a penalty, is foisted to the class for not being present in any subset. This can avoid the chance of becoming an unexpected winner. The class with the lowest final ranking was identified as the class pertaining to the test sample. In addition to testing with the custom-made outdoor video-based face dataset, the projected method was evaluated with a standard surveillance indoor dataset, ChokePoint. Considering all test sets on ChokePoint dataset, the average recognition accuracy of the proposed method is 99.54%. The same for custom-made dataset is 93.96%. For both datasets, precision and macro-average scores of the proposed method in all cases are higher than the individual deep CNN models. © 2024 IEEE.

关键词： Face recognition

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