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Development of an Online Collectable Items Marketplace Using Modern Practices of SDLC and Web Technologies 1

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5th International Conference on Data and Information sciences, ICDIS 2023

作者： Khulbe, Saransh Gumber, Divyam Pratap Singh, Shailendra School of Computing Science and Engineering Galgotias University Uttar Pradesh Greater Noida India

ISBN: (数字)9789819969067

ISBN: (纸本)9789819969050

This research paper is intended to study and implement the development of a PHP-based system of an online collectable items marketplace which can onboard multiple users and sellers while keeping a singular admin account. The research intensely focuses on adapting modern techniques of the software development lifecycle (SDLC), Pattern matching algorithms to optimize search times, secure multilayer encryption techniques for login and purchase modules, overall security from XSS attacks in the input fields while documenting the work and meanwhile proposing a system with a rich feature set to satisfy user requirements. The development cycle one has been intensely studied with usability testing and a tabular representation of the results. Furthermore, the analysis of these results has been captured graphically and conclusively a complete Web application is developed compliant to the essential benchmarks of today’s time. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Cryptography

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A Blockchain Based Decentralized Application System for Vanet FDIA Detection 3rd

A Blockchain Based Decentralized Application System for Vane...

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3rd International Conference on computing and Communication Networks, ICCCN 2023

作者： Preeti, Grover Sanjeev Kumar, Prasad School of Computing Science and Engineering Galgotias University Uttar Pradesh NCR Greater Noida India

ISBN: (纸本)9789819726707

The growing prominence of intelligent transportation systems (ITS) has led to increased research on vehicular ad hoc networks (VANETs). Blockchain technology offers promising solutions for ensuring data security, integrity, and immutability within VANETs. However, VANETs remain vulnerable to false data injection attacks (FDIAs), which can significantly disrupt network operations and endanger safety. This paper proposes a novel approach using a blockchain-based decentralized application system (Dapp) for FDIA detection in VANETs. The Dapp leverages smart contracts to manage crucial aspects like data provenance, reputation, and consensus mechanisms. It uses POS consensus algorithm to guarantee data consistency and fault tolerance even in the presence of malicious nodes. To manage the vehicular data, users can access the system via Dapp, an Ethereum—distributed application. By integration of blockchain-based IPFS-Dapps system and AI/ML/big data model with blockchain are aim of the research article for providing the solutions for false data injection attacks (FDIA). We collect the data through Radio Channels, Smart Sensors, Smart Antennas and RSU and than uploaded using Dapp and than we classified nodes from smart contract and finally send it to Ethereum. We used a machine learning SVR algorithm, i.e., vehicular network-based support vector regression (VBSVR) to identify an attacker node. We have written the pseudocode for using IPFS with Ethereum, proposed research methodology includes integration of blockchain and Dapps with smart contract, integration of AI/ML/big data models with blockchain, and integration of ML Oracle under blockchain that are ideal for detection of false injection attacks nodes, and same is logged in IPFS Decentralized Server. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Ethereum

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Secure Credit or Debit Card Transaction Using Alert messages and OTP to prevent phishing attacks 3

Secure Credit or Debit Card Transaction Using Alert messages...

引用

3rd International Conference on Innovative Practices in Technology and Management, ICIPTM 2023

作者： Parvesh Indervati Kumari, Sonia Kumar, Kartik Gupta, Gorakh Rajakumar, P. School of Computing Science & Engineering Galgotias University UP India

ISBN: (纸本)9798350336238

In the digital world, the utilization of online transactions using credit and debit cards is growing every day. However, credit or debit (CD) card fraud is one of the prime challenges confronted by customers and bankers. The financial databases are stored at various cloud servers and these types of fraud make a huge loss in the financial systems as well as security concerns in the cloud. The cloud platform provides efficient and uninterrupted access to banking databases. There are distinct security initiatives that were taken to prevent fraudulent transactions, but still, hackers try different techniques to compromise the customer's account. Currently, for online Card payments, an OTP has been sent to the customer's phone number and email-id of a customer for security during the transaction. In this article, we introduce a new approach by sending an alert message before the OTP to the card owner whenever the credit or debit card number is entered by the customer or hacker for an online transaction. © 2023 IEEE.

关键词： Sales

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Speech Emotion Recognition Using Machine Learning 3

Speech Emotion Recognition Using Machine Learning

引用

3rd International Conference on Innovative Practices in Technology and Management, ICIPTM 2023

作者： Kumar, Aman Kumar, Vivek Rajakumar, P. School of Computing Science & Engineering Galgotias University UP India

ISBN: (纸本)9798350336238

In the field of human-computer interaction, identifying the emotions conveyed in a person's speech is a challenge that is both incredibly fascinating and challenging. Recent times have seen a significant uptick in people's interest in this topic. In the subject of speech emotion recognition, a wide variety of techniques have been applied in order to extract emotions from signals. These techniques include a number of well-known speech analysis and classification strategies. This paper provides an overview of the deep learning technique, which is based on a simple algorithm based on feature extraction and model creation that recognizes emotion. In the traditional method of speech emotion recognition, features are first extracted from the speech signals, then the features themselves are picked, collectively known as the selection module, and then the emotions are recognized. © 2023 IEEE.

关键词： Decision trees

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Comparative Analysis of Web APIS: RESTful and GraphQL 4th

Comparative Analysis of Web APIS: RESTful and GraphQL

引用

4th International Conference on Machine Learning, Advances in computing, Renewable Energy and Communication, MARC 2023

作者： Seth, Aparna Kumar, Vinay Kulshrestha, Vaibhav Vij, Aanchal School of Computing Science and Engineering Galgotias University Uttar Pradesh Greater Noida India

ISBN: (纸本)9789819752300

The two well-liked methods for creating web services, REST and GraphQL APIs, are thoroughly compared in this study paper. To give a thorough assessment of both systems, the study examines a number of factors, including performance, flexibility, scalability, and developer experience. This research aims to identify the strengths and weaknesses of each approach through extensive testing, benchmarking, and real-world use cases, providing insights to assist developers, architects, and organizations in selecting the best API technology for their particular needs. The results highlight subtle trade-offs between REST and GraphQL, illuminating their best applications and informing further API design decisions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Application programs

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Sentimental Analysis Using Twitter Data Using LSTM, CNN and Extra Tree Classifier Methods 5

Sentimental Analysis Using Twitter Data Using LSTM, CNN and ...

引用

5th IEEE International Conference on Advances in computing, Communication Control and Networking, ICAC3N 2023

作者： Kumar, Arvind Sharma, Devender Singh, Deepti Galgotias University School Of Computing Science And Engineering India India

ISBN: (纸本)9798350330861

Twitter can be said as a Microblogging. One of the most popular microblogging computer sites. Tweets of Twitter can be considered as emotion of users, this is the reason why it is the easiest ways of poignant study. Sentiment analysis can be stated as the process of analysing different opinions and classifying them in types. Opinions are broadly distributed in four groups: neutral, constructive, unhealthy, undesirable. Basically, information mining is used to find pertinent information from websites, particularly from social networking websites. Using an approach that combines several disciplines, such as text mining, human language processing, and device intelligence. This study mainly has highlights that how the tweets are stated emotionally, according to info congregated through Twitter. Earlier the Researchers used device mastering procedures that were already in place aimed at sentimentality assessment, unfortunately it came to know that the outcomes of these methods were not successful in providing superior sentiment category results. As a result, improving them finally lead to sentiment evaluation, where we tend to use collective mechanism knowledge methods to increase the effectiveness and quality of the projected strategy. Tentative fallouts proves that proposed technique offers higher type outcomes in terms of accurateness compared to character classifier. © 2023 IEEE.

关键词： Sentiment analysis

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Malware Identification using a set of Transparent Honeypot in Cyberspace 3

Malware Identification using a set of Transparent Honeypot i...

引用

3rd International Conference on Innovative Practices in Technology and Management, ICIPTM 2023

作者： Kumar, Gulshan Mehta, Sneha Rajakumar, P. Singh, Gaurav Chauhan, Ashutosh School of Computing Science & Engineering Galgotias University UP India

ISBN: (纸本)9798350336238

The internet is another limitless space where all players, including nations, share data and correspondence innovation, which is currently vital for the cutting edgelifestyle. Since the start of the 21st 100 years, the force of the internet has been a significant wellspring of energy. The role of information in political issues has greatly increased as a result of the proliferation of ICT frameworks in all spheres of society. This capability can be used by both state-sponsored and independent artists to achieve goals online and in the virtual world. The minimal expense and the extraordinary potential effects make the force of the web alluring to all players. Truth be told, online dangers have developed dramatically with the extension of the work environment framework. In this manner, Cyberspace has turned into a landmark equipped for obliterating or delivering futile framework that is normal, unmistakable, mechanical, and reasonable, really subverting significant public abilities. This present circumstance powers generally public foundations to amend their guard procedures, because of the trouble of recognizing players for cyber attacks. It is then important to get a far reaching perspective on the issue to acquire definite, helpful data to recognize those well springs of assault on the web. This new perspective can be accomplished by utilizing the insightful technique created by the creators and applied to the information streams moving through the internet. In this manner we can gather, identify, arrange and dissect the way of behaving of those malevolent projects that act as digital weapons, utilizing a honey bee based program introduced. © 2023 IEEE.

关键词： Malware

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Blockchain Based Verification of Educational and Professional Certificates 2

Blockchain Based Verification of Educational and Professiona...

引用

2nd International Conference on Computational Systems and Communication, ICCSC 2023

作者： Singh, Anjali Chauhan, S.P.S. Goel, Amit Kumar Master of Technology in Computer Science and Engineering School of Computing Science and Engineering Galgotias University Greater Noida India School of Computing Science and Engineering Galgotias University Greater Noida India

ISBN: (纸本)9781665493932

Educational Documents and Certificates are a proof of professional achievements for anyone. Without these documents, it is not possible to start your career and hence play a very important role in everyone's professional life. Till date, Colleges, Universities and various educational institutes issue paper based degrees and certificates which are prone to get damaged or may be lost. The other drawback is that this process of issuing of degrees and manual process of verification of those documents by third parties is a time taking and cumbersome process. The employers take a lot of time for verifying these paper based degrees and certificates before they give the job offer. Forgery of paper based documents is also easier and has led to many educational scams. This paper aims to give the solution to the problems mentioned above through Blockchain Implementation. Block chain technology is not only limited to crypto currencies but is also of great applications in various fields like health, supply chain management, finance, etc. It has disrupted the traditional education system. This paper highlights as to how the educational certificates can be verified using the Ethereum platform and smart contracts. The traditional paper certificates would be converted to digital certificates on student's request, their hash value would be calculated using cryptographic hash functions and stored on Blockchain. A unique certificate ID and transaction hash value would be generated which would then be used to verify the certificates through a common platform. © 2023 IEEE.

关键词： Smart contract

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Various methods to classify the polarity of text based customer reviews using sentiment analysis

Various methods to classify the polarity of text based custo...

引用

International Conference on Artificial Intelligence, Blockchain, computing and Security, ICABCS 2023

作者： Sharma, Rahul Kumar Dagur, Arvind School of Computing Science & Engineering Galgotias University Uttar Pradesh Greater Noida India

ISBN: (纸本)9781032669663

Sentiment analysis is the computational analysis of end users’ attitudes, opinions, and feelings regarding a specific subject or item. Sentiment analysis groups the message based on its polarity whether it is neutral, negative, and positive. Sentiment analysis in NLP is one that is rapidly developing with new approaches and methods are being created to increase its efficacy and accuracy. The most recent technologies and research methodologies for sentiment analysis is briefly summarized in this review article. The recent updates in this field are thoroughly summarized in this survey article. The paper presents recent studies systematically in areas associated with sentiment analysis (business surveillance, polarity observation, social media monitoring). In addition, it also analyses the challenges and drawbacks of the present sentiment analysis methods and suggests possibilities for future research. Overall, this study is a helpful resource for academics and industry professionals who want to stay on top of the most recent developments in sentiment analysis. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Emotion Recognition

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Driver Somnolence Detection System Using Machine Learning Tools 5

Driver Somnolence Detection System Using Machine Learning To...

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5th IEEE International Conference on Advances in computing, Communication Control and Networking, ICAC3N 2023

作者： Gupta, Akrati Partheeban, N. Rajakumar, P. Pravesh Kumar, Saurabh Kumar, Rachit Galgotias University School Of Computing Science & Engineering UP India

ISBN: (纸本)9798350330861

A reliable mode of conveyance is essential in today's society. Anyone behind the vehicle is susceptible to having an accident. Several circumstances, such as fatigue, illness, or lengthy travel, may contribute to this phenomenon. Getting insufficient sleep or being subjected to other forms of injustice increases the likelihood of being involved in an accident. Accidents on the road are frequently the result of drivers who are drowsy or too exhausted to pay attention. Due to this, the annual global accident toll is significantly higher than it would be otherwise. Multiple automobile collisions have occurred in various areas of the world over the past several years. The road is heavily traveled at all hours of the day and night. Everyone experiences drowsiness after a lengthy voyage, which is a decent indicator of how exhausted one is. Don't get behind the wheel if you haven't had sufficient rest. Therefore, it is essential for drivers to be able to recognize the signs of exhaustion so they can take the necessary precautions to safeguard themselves and others on the road. This paper's major goal is to create a system that can recognize driver weariness. This model employs specialized algorithms to evaluate the driver's ocular health in realtime based on images captured in-car, eradicating the need for the driver to draw over. The driver could care less if there are alternative ways to attain the same objective;he is unaffected by this particular strategy. If you want to determine whether someone is fatigued, simply observe the 'stopping score' of the pupils. If the score exceeds a certain threshold, the individual is considered drowsy. © 2023 IEEE.

关键词： Accidents

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