Customers who use internet banking have the flexibility to manage their assets sometimes when and wherever they choose. Any web-based transactions will, in any instance, be vulnerable to privacy risks. The current system makes use of two-way validation factors (OTP), which are easily cracked by cybercriminals, causing customers to have their personal information invaded without having access to the aggressor's recognised evidence. As a result, in this research, we suggest a flexible SIM sequential-based check approach to safeguard mobile transactions using a waiter-side secure platform built on the Blockchain. The customer's record has the supporter character module (sim) serial number, and if a gate crasher tries to initiate a transaction from another sim, there is a mix-up of the login credentials, at which point the system communicates the intrusive location information to the bank. The bank then sends an email to the subscribed customer alerting them to the peculiarities of the intruder. There is no risk of a gate crasher initiating the transaction from another device because the mobile sim chronicle number is unique to the sim and isn't literally very distanced, eliminating the concerns associated with OTP. By verifying the updated markings throughout the transaction and calculating the contract for transaction confirmation, the Ethereum Blockchain breakthrough provides server-side information base security. For reliable financial exchange, blockchain-based security is mathematically validated.
The huge headway of new advances like the Web of Things and wearable innovation, the medical services industry is extending rapidly these days. To guarantee far off persistent observing, these devices are generally used. Client/server engineering is utilized in the ongoing execution. Due of the security and protection issues raised by this, medical care frameworks are currently more helpless against different assaults. The utilization of a dispersed engineering is expected to resolve these issues and submit to security rules. Block chain has drawn in a ton of interest as a modern innovation to address the security issues in IoT-based frameworks in light of its conveyed nature and its security ensures. With the new presentation of block chain and IoT, the medical care area is supposed to develop altogether and experience an expansion in monetary potential as well as security, protection, effectiveness, and straightforwardness. The client/server engineering is the underpinning of the ongoing execution. In this paper, various protection and security gives that make medical services frameworks more powerless against different assaults.
Recently Internet of things (IoT)-based healthcare system has expanded significantly, however, they are restricted by the absence of an intrusion detection mechanism (IDS). Modern technologies like blockchain (BC), edge computing (EC), and machine learning (ML) provide a robust security solution that is well-suited to protecting patients' medical information. In this study, we offer an intelligent intrusion detection mechanism FIDANN that protects the confidentiality of medical data by completing the intrusion detection task by utilising Dwarf mongoose-optimized artificial neural networks (DMO-ANN) through a federated learning (FL) technique. In the context of recent developments in blockchain technology, such as the elimination of contaminating attacks and the provision of complete visibility and data integrity over the decentralized system with minimal additional effort. Using the model at the edges secures the cloud from attacks by limiting information from its gateway with less computing time and processing power as FL works with fewer datasets. The findings demonstrate that our suggested models perform better when dealing with the diversity of data produced by IoT devices.
Ahmad Y. A. Bani Ahmad, Sukhavasi Santha Kumari, S. Mahabub Basha, Shouvik Kumar Guha · 6 authors
Initially, coins used block chain solutions as its open digital ledger. Although, cryptographic protocols has lately been taken into consideration, the wide range of additional applications due to its unique combination of decentralization, reliability, accessibility, and vehemently anti features. Such characteristics are especially helpful for a range of significant problems encountered in the finance industry. Therefore, by changing how various financial services are provided ledger technology has the ability to completely transform the financial sector. In this article, we present five distinct finance sector use cases that the use of block chains is predicted to fundamentally disrupt. this paper investigates financial sector and security system implementations and its implications.
शौनक साहू, प्रो. दिनेश कुमार तिवारी, Ankita Ankita, Brunda S P · 5 authors
Abstract: Electronic voting, or e-voting, has been used in various forms since the 1970s. B. Increase efficiency and reduce errors. However, wide adoption of such systems remains a challenge, especially in terms of improving resilience to potential failures. Blockchain is a disruptive technology of our time and promises to improve the overall resilience of electronic voting systems. The democratic system is fundamentally based on the right to vote that Allow individuals within the community to express their opinions. While voter turnout has declined in recent years, concerns about the integrity, security, and accessibility of the current voting system have increased. Electronic voting was introduced to address these concerns. However, it is not cost-effective and requires full oversight by a central authority. Blockchain is an emerging decentralized and decentralized technology that promises to improve many aspects of many industries. Extending e-voting to blockchain technology could be a solution to alleviating current concerns about e-voting. In this paper, I proposed a voting system that leverages the Ethereum blockchain and smart contracts to achieve voter management and verifiable voting records.
This study examines public perception of blockchains. The data is stored in block on the ledger, and each piece includes the checksum associated with the coin. After completing this scientific study, you will have a better understanding of the history of cash, an overview to the electronic cash system, how data is stored in blocks as cryptographic hashes, how various crypto currencies were created, and exactly how to utilise them. Additionally, bitcoin may be employed as a tradeable asset class. Numerous crypto trading platforms that provided crypto trading have existed since 2011. The general state of cryptocurrency is increasing every day.
The engaging ambitions of regeneration & growth of manufacturing in several nations, as well as the speed, flexibility, or expense benefits that might arise from the architecture of the industrial Internet of Things (IIoT), are attracting considerable interest. While blockchain or machine learning techniques, particularly deep learning, might offer the latest viable use cases for IIoT, they operate in a rather antagonistic manner. Underneath the assumption of information regulatory standards such as information protections, blockchain helps the crucial information collecting for machine learning. However, it may be susceptible to a data breach as a result of big information insights using machine learning. To enable machine learning/blockchain relevant & applicable for a variety of industrialized applications, it is of the utmost essential to have a thorough grasp of their evolution within the framework of IIoT. In this paper, we present a summary & analytics of the opportunity of blockchain as well as machine learning in the IIoT, focusing on the agreement method, preservation, or transmission. This study gives a better knowledge of the protection & confidentiality issues of a blockchain’s vital aspects from the viewpoint of machine learning, and that is beneficial for the creation of viable blockchain alternatives for IIoT.
The term blockchain is mainly regarded as the distributed transaction which is mainly comprised of different blocks, and each set tends to represent the data that are being associated with the previous blocks. The blockchain is mainly managed through peer-to-peer networks which comparatively involves in adhering to the protocol of authenticating various blocks to form the blockchain. The usage of blockchain technology has been increasingly used in different fields, and healthcare services are now using blockchain for better patient delivery, detecting disease, and other aspects. The scope of the proposed study is that this study has exploited the function of a blockchain-enabled big data network to support medical professionals in giving better treatment modalities and delivering better patient care. The application of a new generation of smart block chains such as Ethereum and NEM is now offering better services and features in creating blockchain-based healthcare data management and hence support healthcare centers, medical practitioners, nurses, radiologists, and patients for better healthcare management. The application of blockchain technology in big data networks supports adding more value as it results in enhanced data quality, accessibility, and support in creating better security and safety of data and information, which is highly essential in the medical industry. Blockchain technology enables big data technologies enabled in supporting medical practitioners in addressing various healthcare ailments; one of the major diseases impacting many people around the world is diabetes. Patients with such ailments tend to generate more data and information related to the disease and health-related aspects. Hence, this information requires being maintained and analyzed, so that superior healthcare services can be provided. This study is more involved in the investigation of blockchain technology through a big data network enabled in offering better care for elderly individuals who have been affected due to diabetes, the researchers propose to choose a questionnaire method to collect the data from nearly 169 respondents, and these data were then analyzed using SPSS data package. The analyst used percentage analysis, correlation analysis, and chi-square test to analyze the data which has been collated by the researchers. The results and discussion show in detail the major aspects of blockchain technology in supporting healthcare professionals for better diabetes care management for elderly individuals.
Roshan Jadhav, Altaf Ahmed Shaikh, M. A. Jawale, A. B. Pawar · 5 authors
Counterfeit items have become more prevalent in the industrial industry in recent years. This has an effect on the company’s name, sales, and profit. Blockchain technology is used to authenticate and identify counterfeit items.Using blockchain technology, transactions are recorded in the form of blocks in a distributed, decentralized, and digital ledger. A block cannot be changed or hacked since blockchain technology is secure. Blockchain technology eliminates the need for customers or users to rely on third parties to verify the product’s safety. In light of current advancements in mobile and wireless technologies, quick response (QR) codes provide a promising technique for addressing the practice of counterfeiting in this project. This is done by scanning a QR code, which is linked to a Blockchain, to identify counterfeit goods. As a consequence, this method may be used to record product information and generate a unique identifier for each product in a database. It looks up the user’s unique code in the Blockchain database and sees if there are any matches. When a code matches, the client will be notified; otherwise, the consumer will be notified that the product is counterfeit.
S. K. UmaMaheswaran, G. Lakshmi Vara Prasad, Батырхан Омаров, Dalael Saad Abdul-Zahra · 7 authors
According to the benefits in safeguarding and transferring medical information, illness assessment, evaluation of “Magnetic Resonance Mapping” images, and certain other disciplines, blockchain and machine learning (ML) technology has significantly piqued attention in the healthcare domains. Formerly, those chores have been performed out along with individuals; eventually, individuals acquired attraction because to its precision and efficiency. The proposed study will examine the activities and possible capabilities of learning algorithms and blockchain in the healthcare professions focusing on these fascinating facts. Primary and secondary data analysis has been executed, with primary analysis method consisting of a survey of 150 randomly picked medicine professionals with expertise in machine learning and blockchain. They gave their answers that were being subsequently transferred to figures and employed as response variable in SPSS examining. The length of time where learning and blockchain have been used in medicine is really the independent factor. To better understand the primary and small hurdles of integrating machine learning and blockchain, a correlation investigation was done. Thereafter, secondary methodology is employed to validate the primary study results.
Deep learning (DL) is a new approach that provides exceptional speed in healthcare activities with greater accuracy. In this regard, “convolutional neural network” or CNN and blockchain are two important parts that together fasten the disease detection procedures securely. CNN can detect and predict diseases like lung cancer and help determine food quality, and blockchain is responsible for data. This research is going to analyze the extension of blockchain with the help of CNN for lung cancer prediction and making food safer. CNN algorithm has been trained with a huge number of images by altering the filters, features, epoch values, padding value, kernel size, and resolution. Subsequently, the CNN accuracy has been measured to understand how these factors affect the accuracy. A linear regression analysis has been carried out in IBM SPSS where the independent variables selected are image dataset augmentation, epochs, features, pixel size (90 × 90 to 512 × 512), kernel size (0–7), filters (10–40), and padding. The dependent variable is the accuracy of CNN. Findings suggested that a larger number of epochs improve the CNN accuracy; however, when more than 12 epochs are considered, the accuracy may decrease. A greater pixel/resolution also improves the accuracy of cancer and food image detection. When images are provided with excellent features and filters, the CNN accuracy improves. The main objective of this research is to comprehend how the independent variables affect the accuracy (dependent), but the reading may not be fully exact, and thus, the researcher has conceded out a minor task, which delivered evidence supportive of the analysis and against the analysis. As a result, it can be determined that image augmentation and a large number of images develop the CNN accuracy in lung cancer prediction and food safety determination when features and filters are applied correctly. A total of 10–12 epochs are desirable for CNN to receive 99% accuracy with 1 padding.
M Vijay Bhasker Reddy, Rajiv Kumar, Akash Bag, Abdulnaser A. Hagar · 6 authors
As block chain technology is a new approach in security world. So, hereby we will describe the multilayer security network authentication system development through block chain technology as this article describes a multi-layer secure Internet of Things network concept block chain - based. The approach decreases the difficulties of real block chain technology deployment by separating the Iot devices into a cross de-centric networking and adopting block chain platform at all stages of the network, while keeping the block chain technology's heavily guarded and credibility assurance. It offers an Internet of Things wide-area networking solution. Block chain is a series of information-containing blocks. The data recorded within a block is determined by the kind of block chain. A Bit coin Block, for example, comprises information on the Sender, Receiver, and the quantity of bit coin to be transmitted. The Genesis block is the initial block in the chain. The block chain's objective is to distribute information among all persons that access it through an application. Reading and writing accessibility to this ledger can be unfettered ('permission less') or controlled (,permission‘). It is now possible to securely communicate, read, and save digital information using block chain. Furthermore, it employs cryptographic encryption to safeguard each transaction. Banks may raise their present security and transparency standards to new heights by doing so.
Hashem Ali Almashaqbeh, Pacha Malyadri, Bojja. Suryanarayana Reddy, Shaik Vaseem Akram · 6 authors
The purpose of this research work is to understand the ways and benefits of block chain in mitigating the risks associated with crypto currencies. The literature review has demonstrated that risks associated with it are related to regulations and cyber attacks. The findings of this research have explained that algorithm-based learning and efficiency peer to peer framework has helped to mitigate these risks.
Digital archive management solutions have become increasingly popular in archive management as information technology and wireless technology have advanced. Unlike traditional paper archives, which have inherent distinctiveness and strong tamper-proof modification, electronic files and data are mainly stated based on the available data base. Today's Internet enables marketers to reach deeper into their present customers, establish new online marketplaces, and drive new demand. This dynamic market involvement employs modern technology to more effectively target customers. In this research article, we analyze how block chain technology may influence a company's marketing efforts. This research blends block chain technology alongside distributed ledgers, consensus processes, encryption techniques, and so forth. There are several incentives available to businesses who want to participate in green products. To beginning with, a company's perceived dedication to environmental concerns is a growing element affecting many consumers' buying patterns?As a result, electronic information management is required for its capacity to properly store and retrieve huge amounts of data while ensuring computer system performance integrity.
Md Ariful Islam Mozumder, Muhammad Mohsan Sheeraz, Ali Athar, Satyabrata Aich · 5 authors
Metaverse is defined as a collection of technology gadgets and metaverse connected to IoT, Blockchain, Artificial Intelligence, and all the other tech industries including the medical area. IoT and Metaverse are the digital twins, Metaverse is using maximum IoT devices in their virtual workstation. This data has a unique identifying tag and is used as traceable data in the blockchain-based Metaverse. In the Metaverse, such data is becoming a valuable resource for artificial intelligence. Metaverse uses artificial intelligence and blockchain technology to build a digital virtual world where you can safely and freely engage in social and economic activities that transcend the limits of the real world, and the application of these latest technologies will be expedited. In this paper, we are going to describe what technologies metaverse is using and metaverse potentiality in medical healthcare.
Blockchain-based cyber-physical systems (CPSs) and the blockchain Internet of things (BIoT) are two major focuses of the modern technological revolution. Currently we have security attacks like distributed denial-of-service (DDoS), address resolution protocol (ARP) spoofing attacks, various phishing and configuration threats, network congestion, etc. on the existing CPS and IoT architectures. This study conducts a complete survey on the flaws of the present centralized IoT system’s peer-to-peer (P2P) communication and the CPS architecture’s machine-to-machine (M2M) communication. Both these architectures could use the inherent consensus algorithms and cryptographic advantages of blockchain technology. To show how blockchain technology can resolve the flaws of the existing CPS and IoT architectures while maintaining confidentiality, integrity, and availability (the CIA triad), we conduct a holistic survey here on this topic and discuss the research focus in the domain of the BIoT. Then we analyse the similarities and dissimilarities of blockchain technology in IoT and CPS architectures. Finally, it is well understood that one should explore whether blockchain technology will give advantages to CPS and IoT applications through a decision support system (DSS) with a relevant mathematical model, so here we provide the DSS with such a model for this purpose.
Ahmed S. Almasoud, Abdelzahir Abdelmaboud, Faisal S. Alsubaei, Manar Ahmed Hamza · 8 authors
Cyber-Physical System (CPS) involves the combination of physical processes with computation and communication systems. The recent advancements made in cloud computing, Wireless Sensor Network (WSN), healthcare sensors, etc. tend to develop CPS as a proficient model for healthcare applications especially, home patient care. Though several techniques have been proposed earlier related to CPS structures, only a handful of studies has focused on the design of CPS models for health care sector. So, the proposal for a dedicated CPS model for healthcare sector necessitates a significant interest to ensure data privacy. To overcome the challenges, the current research paper designs a Deep Learning-based Intrusion Detection and Image Classification for Secure CPS (DLIDIC-SCPS) model for healthcare sector. The aim of the proposed DLIDIC-SCPS model is to achieve secure image transmission and image classification process for CPS in healthcare sector. Primarily, data acquisition takes place with the help of sensors and detection of intrusions is performed using Fuzzy Deep Neural Network (FDNN) technique. Besides, Multiple Share Creation (MSC) approach is used to create several shares of medical image so as to accomplish security. Also, blockchain is employed as a distributed data storage entity to create a ledger that provides access to the client. For image classification, Inception v3 with Fuzzy Wavelet Neural Network (FWNN) is utilized that diagnose the disease from the applied medical image. Finally, Salp Swarm Algorithm (SSA) is utilized to fine tune the parameters involved in WNN model, thereby boosting its classification performance. A wide range of simulations was carried out to highlight the superiority of the proposed DLIDIC-SCPS technique. The simulation outcomes confirm that DLIDIC-SCPS approach demonstrates promising results in terms of security, privacy, and image classification outcomes over recent state-of-the-art techniques.
Blockchain is the prominent security that provides more security to critical information. Blockchain provides a shared, immutable and transparent history for all the transactions built with the help of Blockchain technology that has trust, account and transparency. Blockchain technology is used to protect data and gives reliability. An AES algorithm is used to encrypt the data. The aim of the paper is that to provide better communication between the patients and doctors to share their opinion and viewpoint on different kinds of problems and put the patients in control according to their clinical data, providing them with the legal rights to share the data, the clear, understandable version of their data with the medical network of every organization, if needed.
Conventional crop insurance systems are complex and often not economically feasible. Farmers are often reluctant to be covered for their crops due to lack of trust in insurance firms and the fear of delayed or non-payment of claims. In this paper, a blockchain based crop insurance solution is suggested. The solution suggested in this paper is an affordable, efficient, low cost crop insurance solution which will ensure many farmers are insured and benefiting from timely crop insurance. Currently the cost of administering insurance is an essential barrier to accessing this facility. With the proper use of blockchain based on ethereum this expense can be reduced dramatically. We have conducted various tests on platforms such as Google Cloud and found that the least throughput is 165 transactions. Upon analysis we have found that the time taken by the block formation is directly proportional to the timing of processing. The end-to-end average latency of the system was achieved as 31.2 s, which was quite effective for the infrastructure what we are using. Upon conducting acceptance testing, we found that the system suggested in the paper is effective and we are planning to release the application on open source platforms for future improvements.
V Vignesh, S. Harihara Gopalan, M.S. Kiran Mohan, R S Ramya · 5 authors
Abstract Protection measures are essential to present day blockchain innovation ever, since they can exist short of empowered outsider, which implies that there may not be a disclosed trustworthy individual or group responsible for frameworks. Security of the present frameworks depends on estimating the firmness assumptions and large numbers of the benchmark cryptographic functions proven to be powerless for crucial monetary and a variety of applications against the approach of undeniable quantum machines. Upgrading blockchain innovation with the future of quantum states in a shared manner will enhance the degree of protection and security by-laws of physical science, which is never feasible from non-quantum data hypothetical perspectives. In this article, we propose a quantum-built way to deal with harness of security for a democratic application with the execution, utilizing Hyperledger Sawtooth.
A. Sivasangari, Upendher Rao Polishetty, Ajitha, Anandhi · 5 authors
In city zonsiimproper manner prompting duplicating of germs that can cause ailment. There is a distinction in how as often as possible they utilize these litter canisters in different locales. Intermittent checking with timing holes doesn't help. They may flood at times significantly sooner than anticipated. To evade this and to improve the cleaning, a shrewd trash observing technique to discover when the trash bin is full is proposed in this paper. The strategy's plan assembles such data just as communicates it by means of an organization of remote sort. In this proposed technique, detecting of the dustbin's refuse level is finished by sensors just as data is sent to the authority portable station by means of GSM and GPS module. On the web observing of the trash level at control room is made utilizing a WiFi Module. Arduino processor interfaces the arrangement of sensors with the organization modules. This information helps contracted cleaners as well as the individuals who give trash bins, speedily void to keep up the territory perfect.
Block chain has the distributed infrastructure and considered to be a part of the next revolution in the technology space. The super ledger is considered to be the part of latest instalment of the block chain which is getting evolved very fast and the latest is the third instalment. The block chain helps change how we handle finance and accounting now and this paper expounds the various application and its various status of it in the accounting and finance industry which is taken from the view of very large data. This paper also focuses on various other main points which takes on building the non-reversible system which is also completely distributed. The source is also took from a very large data to apply in the “Block Chain Technology and accounting services” and also the main advantages of the application of block chain in the accounting industry and finance industry that also provides inspiration and many motive for many future research on block chain in accounting and finance. This paper also discussed about the fundamentals of block chain in any field including the accounting and finance on the way it works behind the scenes.