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A Review on Blockchain Strategies and Its Applications 7th

A Review on Blockchain Strategies and Its Applications

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7th International Conference on Smart Trends in Computing and Communications, SmartCom 2023

作者： Mishra, Priyanka Ganesan, R. Department of Computer Science Engineering Vellore Institute of Technology Tamil Nadu Chennai600127 India

ISBN: (纸本)9789819908370

Blockchain was acquainted with the fundamental innovation with empowering digital currency exchanges among untrusted parties. Today, its potential transformative is contrasted with that of the World Wide Web. With distributed ledger technology, blockchain provides a distributed environment with transparency, integrity, and data security as its highlight features. A critical number of research and contextual analysis discoveries show numerous ventures are, as of now, investigating the different advantages of blockchain innovation. Analysis of how different businesses adopt blockchain could help to see how to take care of comparative sorts of issues in the development business. The vast majority of the flow looking into identified Blockchain technology is concentrating on its application for cryptographic forms of money;for example, Bitcoin and just a predetermined number of research are focused on investigating the usage of Blockchain technology in different conditions or divisions. Blockchain technology is something beyond digital money, and it can have a few applications in government, fund and banking industry, bookkeeping, and Business Process Management. Accordingly, this paper endeavors to research and investigate its chances and difficulties in the use of blockchain technology. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Transparency

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Data Transmission and Optimization of Energy in Smart Campus Using LoRaWAN Industrial IoT technology 1st

Data Transmission and Optimization of Energy in Smart Campus...

引用

1st International Conference on Sci/Tech and engineering, ICSTE 2023

作者： Mariappan, Ramasamy Amulya, Ch. S. V. N. S. L. Vasanthi, M. Yogisri Aditya, Pothapu Manohar, Ch. Sai School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore632014 India Dept of ECE VR Siddhartha Engg College Vijayawada India

ISBN: (纸本)9789819947126

Our idea is to build a Long-Range Wide-Area Network (LoRaWAN)-based smart campus monitoring system, in order to replace the current technology of short-range communication devices. This paper mainly focuses on transmitting the data collected from end nodes or wireless sensors like Digital Humidity Temperature Sensor–11 (DHT11), Ultrasonic Sensor, Passive Infra-Red Sensor (PIR), and Ambient Light Sensor (ALS), etc., to the network server using gateway, end nodes. The end users make use of this data for monitoring and controlling several appliances. The network interface is implemented by LoRa which solves communication failure problems and saves energy during data transmission with 100 percent accuracy. This LoRa supports moderate data rates which reduces energy consumption in turn optimizes the energy utilization in the campus. This paper explains how the sensor data is transferred from the sensor using the LoRa technology. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Wide area networks

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Federated Learning for Improved Air Pollution Prediction: A Combined LSTM-SVR Approach 4

Federated Learning for Improved Air Pollution Prediction: A ...

引用

4th IEEE Annual Flagship India Council International Subsections Conference, INDISCON 2023

作者： Abimannan, Satheesh John, A. Shukla, Saurabh Satheesh, Dhivyadharsini Amity University Maharashtra Department of Computer Science and Engineering Mumbai India Galgotias University Department of Computer Science and Engineering UP Greater Noida India School of Computer Science and Engineering Vellore Institute of Technology Vellore India

ISBN: (纸本)9798350333558

In this research paper, we introduce a unique approach to predict air pollutant concentrations. The method involves combining two pre-existing models, LSTM and SVR, by utilizing federated learning. Our proposed model is evaluated based on air quality data gathered by the Taiwan Environmental Protection Agency (EPA). By using federated learning, we can create a global model that taps into the collective knowledge of all 70 data centers while safeguarding data privacy and security. This novel method has significant implications for addressing joint air pollution mitigation and environmental protection. Additionally, the research paper presents performance comparisons of various models across three locations in Taiwan. We demonstrate the efficiency of our FL-ALSTM and FL-SVR models in predicting air pollutant concentrations. Our findings show that the FL-ALSTM model outperforms other models, improving predictions of air pollution levels by more than 95%. Overall, our study underscores the potential of federated learning in advancing air pollution prediction and environmental sustain ability. © 2023 IEEE.

关键词： Environmental Protection Agency

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Social Network Analysis of 2020 USA Presidential Election Tweets

Social Network Analysis of 2020 USA Presidential Election Tw...

引用

2022 International Conference on Advances in Computing, Communication and Materials, ICACCM 2022

作者： Anala, Jayanth Pothala, Dhanush Reddy Chembeti, Manish School of Computer Science and Engineering Vellore Institute of Technology Vellore India

ISBN: (纸本)9781665474399

Internet surfers and smartphone owners frequently utilize Twitter applications to post their opinions and ideas on different things happening around the world. In recent studies, it can be seen that these posts or tweets can have a major impact on real-life situations and scenarios. The impact twitter has on society is what motivated us to conduct this analysis. This paper is concerned with carrying out the best analysis of tweets based on the US presidential elections that happened in the year 2020. Approximately 5000 tweets from key candidates for the 2020 US presidential election were subjected to network analysis. We determined the election campaign phases and the number of times candidates mentioned this issue on Twitter. The leader-follower connections between the candidates were visualised in this article. We get a conclusion on which Twitter account for campaigns performs better. We'll use the different centrality measures in this paper such as Betweenness, Closeness, Eigen Vector, degree centralities and modularity. As previously said, we'll use a few metrics to compare different results obtained. © 2022 IEEE.

关键词： Social networking (online)

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Direction Based-Improved Ant Based Routing Algorithm

Direction Based-Improved Ant Based Routing Algorithm

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2022 International Conference on Industry 4.0 technology, I4Tech 2022

作者： Kanshi, Avaneesh Vinod Melarkode, Navneet Agarwal, Varun Niraj School of Computer Science Engineering Vellore Institute of Technology Vellore India

ISBN: (数字)9781665471961

ISBN: (纸本)9781665471961

High-efficient routing is a significant component of a network which forms an indispensable part of designing Wireless Sensor Networks (WSNs). A typical WSN environment limits its resources with respect to the power it transmits, the overhead it carries and the energy it is boarded along with. Subsequently, when these WSNs are employed in large numbers to gather data from solitary destinations and targets, few constraints are enforced by itself owing to the fact that sensor nodes in WSNs carry limited energy, a limited computation power and a highly exhaustive storage capacity among themselves. With due credit to this very fact, Swarm Intelligence (SI) algorithms have been brought on the research scene to help administrate and govern the sensor nodes when in action. In this research study, we analyze and weigh the existing advancements in Energy efficiency routing protocols that utilize SI for WSNs and propose our own modification to the Ant Based Routing Protocol, Direction Based-Improved Ant Based Routing Algorithm (DB-IABR). Since the legacy protocol was found to be the trendsetter in terms of Energy efficiency, it serves as our benchmark for evaluations that succeed today's innovations. This study uses standard metrics like energy, path hops and the time as the evaluation parameters. The algorithm is compared with its legacy root algorithm Ant Based Routing and Improved Ant Based Routing Protocols. © 2022 IEEE.

关键词： Swarm intelligence

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RSA based Forest fire spread detection using Drones and Image Processing 3

RSA based Forest fire spread detection using Drones and Imag...

引用

3rd IEEE Global Conference for Advancement in technology, GCAT 2022

作者： Nithesh, C. Shakthi, T. Sumathi, G. Achyuta, Sp Mihir Thomas, Nuthakki Shiv Mohanty, Aparna Padavala, Madhur School of Electronics Engineering Vellore Institute of Technology Vellore India School of Computer Science and Engineering Vellore Institute of Technology Vellore India

ISBN: (数字)9781665468558

ISBN: (纸本)9781665468534

Forests and wildlife are essential parts of our biological ecosystem, and they have a tremendous impact on our everyday life. With the climate change arising and the temperatures of our lands landing on a higher scale with time, the changes alongside bring chaos in form of destruction of these forest lands. The potential danger has become inevitable at one point and has been prevalent on numerous occasions now. With the destruction caused by forest fires, the depletion of the resources is also a factor to be counted into. With the development of technology in the fields of UAV Navigation and Image processing, this paper proposes a system where we use an amalgam of these two fields and a new algorithm to improve the coordination between multiple drones and create a network of these drones that communicates the coordinates and intensity of the fire of the location and surround the spread area of fire and verifying the detection based on a scoring system. © 2022 IEEE.

关键词： Fires

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Novel Approach for Group Communications using various Cybersecurity Techniques

Novel Approach for Group Communications using various Cybers...

引用

2022 International Conference on Advances in Computing, Communication and Materials, ICACCM 2022

作者： Anala, Jayanth Pothala, Dhanush Reddy Ruthvik Reddy, T. Manikandan, K. School of Computer Science and Engineering Vellore Institute of Technology Vellore India

ISBN: (纸本)9781665474399

Internet surfers and smartphone owners frequently utilize chatting software, although these software applications are built with security encryption, cyber-attacks are created to break this encryption. This paper is concerned with the finding of the best cryptography algorithm, which is better safe for assaults, simple to encrypt and has more security features. When a message is being transmitted, message security is a crucial factor to take into account. Many cryptographic methods are used to do this. We will be comparing different types of cryptographic algorithms and coming up with a better and most secure application. We opted to compare Ron Rivest, Adi Shamir and Leonard Adleman algorithm (RSA), the Triple Data Encryption Standard (3DES) algorithm and the Elliptic curve cryptography(ECC) since these three algorithms are the ones that messaging platforms utilize the most. As previously said, we'll use a few metrics to compare different cryptographic methods. © 2022 IEEE.

关键词： Cybersecurity

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LockNKey: Improvised Cloud Storage System using Threshold Cryptography Approach 2

LockNKey: Improvised Cloud Storage System using Threshold Cr...

引用

2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022

作者： Vats, Aryan Jimmy, Praneel Mishra, Arohan Aju, D. Vellore Institute of Technology School of Computer Science and Engineering Vellore India

ISBN: (数字)9781665461818

ISBN: (纸本)9781665461818

In light of the current cloud security issues, this research focuses on developing a secure mechanism to improve the security of data stored in the cloud for computing service providers using threshold cryptography and encryption. While the data is being uploaded to cloud storage, it is vulnerable to attacks. Recent studies include distribution of keys for encrypted files to enhance the security. This research proposes a system which secures the data with the concept of threshold cryptography on a modified version of the RSA algorithm before uploading it to the cloud storage. The private key generated by the RSA algorithm is split up into N smaller parts or shares which can be stored at different places. The user would require a minimum k number of shares (where k is less than N) to recreate the private key and decrypt the data. The key is regenerated using the Lagrange interpolation algorithm which allows to reconstruct any polynomial of degree K minus 1 from K points on its curve. Thus, the system is even more protected since an attacker will not be able to decode the data even if he has as many as k minus 1 shares. Also, it is more secure in the manner that even if the legitimate user loses N minus k shares, they would still be able to decrypt the data by recreating the private key using the remaining k keys. Thus, in this manner by splitting the private key into a larger number of smaller shares, there is an increase in the security of the data being stored, added to this based on different input sizes there has been a decrease in the encryption time by 1.42 percent on the original RSA algorithm. A Graphical User Interface application is also built to make it easier for the user to secure their documents they want to store on cloud. © 2022 IEEE.

关键词： Cloud storage

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A Survey Analysis on Decentralized Land Registry System Using Blockchain and Smart Contracts 1

A Survey Analysis on Decentralized Land Registry System Usin...

引用

1st International Conference on computer science and Emerging Technologies, CSET 2023

作者： Narayanaprakash, K. Malarchelvi, P. D. Sheba Kezia Ranjithkumar, S. Sridevi, R. Anitha, P. Kumar, N.Suresh Alliance University Anekal Department of Computer Science and Engineering Bengaluru562 106 India Saranathan College of Engineering Department of Computer Science and Engineering Tiruchirappalli India School of Computer Science and Engineering Vellore Institute of Technology Vellore India Department of Computer Science and Engineering Trichy India Oasys Institute of Technology Department of Computer Science and Engineering Pulivalam Trichy India Bangalore India

ISBN: (纸本)9798350341737

This study investigates the potential use of blockchain technology and smart contracts to construct a decentralised land registry system. It looks at the problems with traditional land registry systems and provides a technical breakdown of how to create a blockchain-based land registry system. The research also evaluates the countries that have already adopted such systems and discusses the possible adoption of a blockchain-based land register system in India. The implementation of a blockchain-based land registration system, per the research, can increase the security and efficacy of land transactions, reduce fraud and mistakes, and promote economic growth. © 2023 IEEE.

关键词： Smart contract

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Optimizing Medical Imaging: High-Performance Hardware for Image Processing, Machine Learning 24

Optimizing Medical Imaging: High-Performance Hardware for Im...

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7th International Conference on Digital Medicine and Image Processing, DMIP 2024

作者： Kalyan Chakravarthy, N.S. Balapanur, Mouli Chandra Pandian, Arun Nambi Pulikanti, Jyothi Prasad, D. Syed Masood, Jafar Ali Ibrahim High-Performance Computing Research Laboratory QIS College of Engineering and Technology Andhra Pradesh Ongole India Department of Internet of Things School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore India

ISBN: (纸本)9798400709586

The demand for high-performance hardware solutions for machine learning tasks is growing as medical imaging evolves. In this paper, we will focus on the latest hardware advanced technologies: GPUs, TPUs and FPGAs that can be used for image processing optimization in medical imaging such as brain tumor segmentation or chest X-ray classification. We test these devices on the BraTS and ChestX-ray14 datasets to show how running models quicker increases diagnostic performance. The study offers a comprehensive performance and energy efficiency evaluation of all the considered hardware solutions when training deep learning models for medical imaging, providing clinical guidelines to choose appropriate new-generation accelerators before engaging in expensive leasing contracts. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： GPUS

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