Transaction Requests Research Articles

DAP-CBR: enhancing Bitcoin block propagation efficiency using dynamic compact block relay’s prefilling of transactions

This study examines the potential of BIP-152’s Compact Block Relay (CBR) to enhance the Bitcoin network. This work explores the block propagation efficiency through dynamic prefilling of transactions. In addition, an enhanced CBR model is proposed to reduce superfluous transaction requests, thus improving the block distribution process. The analysis considers the impact of the dynamically prefilled transactions on Bitcoin network scalability, comparing the advantages and disadvantages of this approach. We also conduct a comparative study of fixed-size and dynamically sized prefilled transactions to highlight the importance of adapting to network demands. Prefilling a fixed number of transactions without considering demand can cause inefficiencies and strain the network with unnecessary bandwidth use. Indiscriminate prefilling exacerbates these issues by inflating data packets unnecessarily, increasing latency and reducing network responsiveness. Our research indicates that the proposed solution can significantly reduce the number of round-trips between network nodes by an average of 29.77% and block reconstruction latency by 39.10% when compared with the CBR.

Blockchain based Banking System Using Ethereum

This paper proposes a novel blockchain-based advanced banking system that leverages the distributed ledger technology of Ethereum to create a secure, transparent, and efficient financial system. The system utilizes a permission blockchain network, where participants are pre-authorized to join and contribute to the network. This ensures the security and integrity of the system, while still allowing for a wider range of participants than a fully public blockchain network. The system works by first having a user initiate a transaction request. The system then verifies the user's identity and ensures the authenticity of the request. The transaction is entered into the blockchain ledger after it has been validated. This ensures that the transaction is immutable and transparent, as all participants in the network can view the transaction details. The system also includes a fraud detection mechanism that can detect any changes made to the transaction after it has been recorded on the blockchain. This helps to ensure the security of the system and protect users from fraudulent activity. The proposed system has the potential to revolutionize the banking industry by providing a more secure, transparent, and efficient way to conduct financial transactions. Keywords: blockchain, online banking, ethereum, ganache, hash, smart contract, blocks

Prioritization of Application Security Vulnerability Remediation Using Metrics, Correlation Analysis, and Threat Model

As part of a continuing research for evaluating threats posed for exposed attack surface, this study will provide a consolidated view of exploitability of vulnerable applications presenting a web attack surface of an organization exposed to an attacker. While testing and scanning technologies like Static Analysis Security Testing (SAST), Dynamic Analysis Security Testing (DAST), Application Ethical Hack (Penetration Testing), a monitoring technology like the Web Application Firewall (WAF) provides web traffic information of the number of transaction requests for every application under study. To ensure validity, reliability, and completeness of observation multiple applications must be observed. Research from a prior study is referenced that shows correlation between incoming WAF requests and existing vulnerabilities. Using correlation analysis, vulnerabilities metrics, and a threat model analysis help identify pathways to an attack. A vulnerability map-based attack tree can be developed using Common Weakness Enumeration (CWE) and Common Vulnerabilities and Exposures (CVE) information. The threat model analysis and vulnerability-based attack tree can help in simulation studies of possible attacks. This attack tree will show the linkages between vulnerabilities and a lineage pointing to how an attack could travel from the incoming WAF requests to deep down into the application code of exposed and existing, open vulnerabilities travelling laterally to create a more expanded attack crossing trust boundaries using application data flow.

A Proposed Approach to Integrate Application Security Vulnerability Data with Incidence Response Systems

This paper has proposed a method to develop an attack tree, from application vulnerability data discovered through tests and scans and correlation analysis using incoming transaction requests monitored by a Web Application Firewall (WAF) tool. The attack tree shows multiple pathways for an attack to shape through vulnerability linkages and a deeper analysis of the Common Weakness Enumeration (CWE) and Common Vulnerability Exposure (CVE) mapping to individual vulnerabilities. By further relating to a parent, peer, or child CWE (including CWEs that follow another CWE and in some cases precede other CWEs) will provide more insight into the attack patterns. These patterns will reveal a multi-vulnerability, multi-application attack pattern which will be hard to visualize without data consolidation and correlation analysis. The correlation analysis tied to the test and scan data supports a vulnerability lineage starting from incoming requests to individual vulnerabilities found in the code that traces a possible attack path. This solution, if automated, can provide threat alerts and immediate focus on vulnerabilities that need to be remedied as a priority. SOAR (Security Orchestration, Automation, and Response), XSOAR (Extended Security Orchestration, Automation, and Response), SIEM (Security Information and Event Management), and XDR (Extended Detection and Response) are more constructed to suit networks, infrastructure and devices, and sensors; not meant for application security vulnerability information as collected. So, this paper makes a special case that must be made for integration of application security information as part of threat intelligence, and threat and incident response systems.

MicroCM: A cloud monitoring architecture for microservice invocation

In the complex operating environment, it is difficult to find the root of the issue when there are some time-consuming or error performance issues when executing the request. Aiming at resolving the above challenge, this paper designs and implements a cloud monitoring architecture for microservice invocation MicroCM, by monitoring and tracking the service invocation procedure to get performance data of each link in the transaction request, so as to support the localization of the performance bottleneck in the microservice applications. The monitoring architecture covers the whole process from data acquisition, data transmission, data storage to data display. The monitoring system is designed and implemented according to the proposed cloud monitoring architecture. Finally, the monitoring system is applied to an actual case in this paper. It introduces the process of deployment and configuration of the monitoring system, and monitors a specific scene to verify the functionality implemented by the system. It also conducts a performance impact experiment for this monitoring system by using pressure testing. From the results, the monitoring system presents the process of transaction request executions completely and can locate the time-consuming performance issue effectively. In addition, the system generates low interference.

A Unique Approach for Performance Analysis of a Blockchain and Cryptocurrency based Carbon Footprint Reduction System

Blockchain technology is commonly used as a replicated and distributed database in different areas. In this paper, a smart home blockchain network connects smart homes through smart devices for reducing carbon footprint and thereby earning bitcoin value in the network. The network is composed of different smart homes interconnected with smart devices. The user makes a transaction request through the network layer and matches the user’s activity with the reward table located at the incentive layer to estimate the bitcoin value. Furthermore, the miner verifies the transaction and sends the bitcoin value to the user, and adds the respective block to the network structure. The optimal parameter used to estimate the bitcoin value is computed using the proposed Improved Invasive Weed Mayfly Optimization (IIWMO) algorithm. The developed method attained higher performance with the metrics, like coins earned, Annual Carbon Reduction (ACR), and fitness as 0.00357BTC, 23.891, and 0.6618 for 200 users. For 200 users the fitness obtained by the proposed method is 14.41%, 16.68%, and 11.68% higher when compared to existing approaches namely, Without optimization, IIWO, and MA, respectively.

Security of Cyber-Physical Systems of Chemical Manufacturing Industries Based on Blockchain

The traditional manufacturing systems are often enterprise-centric systems, whereas the modern chemical industry is oriented towards industrial chain integration. Enterprise entities present a loosely coupled state at the scale of the industrial chain, with decentralized characteristics. This poses greater challenges and requirements for the industrial safety system. Based on the characteristics of the chemical manufacturing industry and blockchain, the application of the information security of blockchain in the chemical manufacturing industry is studied herein and the cyber-physical systems security architecture model of dual blockchains is proposed. The first-layer blockchain is applied at the system’s core function level to solve security issues at the system level and provide security guarantees for communication, transactions, and billing between users and manufacturers. Meanwhile, the second layer involves the system resource layer, which not only solves the security problem of cross-level platform data interaction, but also enables the point-to-point security of the device-level cyber-physical system to ensure internal equipment communication information security. A domestic commercial concrete manufacturing company’s real production and operation data were used to simulate basic functions such as transaction requests, trade success, and blockchain queries. After multiple tests, results show that its basic blockchain, query response, transaction creation, and block creation functions are all finished within milliseconds, meeting the industrial requirements. Its safety verification can meet the requirements of safety, efficiency, and low latency for production control in chemical industry sites, proving the feasibility of applying the dual blockchain model in the chemical manufacturing industry. Based on data security, privacy, and integrity requirements, the blockchain technology proposed in this article provides a more efficient, transparent, and secure operation and management solution for the chemical industry.

Blockchain-based secure privacy-preserving vehicle accident and insurance registration

Insurance claims processing involves multiple entities and data sources, necessitating communication between human agents. Consequently, vehicle insurance claims have traditionally required significant human effort and time. Daily vehicle-related transactions, including those managed by transportation authorities, pose challenges for tracking. Centralised systems have been utilised for national solutions, but trust management, transparency, and access control issues arise. There is potential for further integration of vehicle-related transactions. This article proposes a blockchain framework for vehicle insurance to streamline the reporting of accidents and filing of insurance claims. Blockchain-based automation platforms can enhance the scale and response time of claims processing, providing users with control over additional transactions, inspection, and insurance. For experimental purposes, a blockchain was created using Hyperledger Fabric to store information about vehicles, owners, and insurance. Efficient querying of this blockchain requires specific participants, assets, and transactions. The consensus algorithm can identify invalid claims if a transaction request contains an error. By deploying blockchain technology and smart contracts, this architecture has the potential to address trust and security concerns associated with traditional insurance policies and claims.

DESIGN AND BUILD OF PULSE BALANCE DEPOSIT INFORMATION SYSTEM BASED ON WEBSITE AT PT ASIA ADIJAYA PERKASA

The credit balance deposit business is said to be still loved until now, the need for all-in-one online makes it inevitable that device users need to top up pulses, digital wallets, PLN or top up games. This makes transaction requests more and more causing many requests in the deposit process, with this problem the author wants to create a credit deposit information system.
 In this study, the method used by the researcher divides it into two, namely for the first method of data collection there are observations, interviews, literature studies, and documentation. The second is the system development method using the SDLC (Systems Development Life Cycle) method, there is a needs analysis using pieces analysis, where there are system workflows, use case diagrams, activity diagrams, Sequence diagrams and the last is testing using black box techniques and beta testing.
 The results of the recommendation system consist of three access rights, namely customer service, owner and member. The credit balance deposit information system can assist in the deposit process from transactions, data presentation and reporting. The results of the black box test show that all functions in the credit balance deposit information system can run as expected. The results of beta testing by filling out the questionnaire show the percentage value of the system suitability is 88.79%.

Advancing Digital Payment Systems: Combining AI, Big Data, and Biometric Authentication for Enhanced Security

Digital payment solutions have recently gained extraordinary popularity across the globe. Many individuals in cities or urban areas have begun to use these payment systems for financial transactions. The combined use of different advanced technologies is indispensable for widespread adoption. Various obstacles to performing financial transactions using digital payment systems must be considered. Among these obstacles, security is the most remarkable point. Although this online payment system is fast and convenient, the chances of fraud are very high. A cybercriminal can hack into the system, stealing personal information like phone numbers and passwords. This article will focus on a new digital payment security system that will take advantage of artificial intelligence (AI), big data, and biometric authentication (BA). When using this security system, a transaction request will be sent. First, it will check whether the phone number is a registered user and if it is, further authentication will be carried out. The system will automatically authenticate the user’s identity with the help of facial recognition technology that will analyze the features of the face. Further, the user has to show various gestures that are analyzed by the system. This and other personal information will be converted into a number and then encrypted before being stored in the database. The incoming transaction request will be compared against the personal number. If the user is not unique, the transaction request will be immediately rejected. Secondly, if the number matches but the user is fraudulent, the transaction will also be rejected. Only if both are unique, the system will check for duplicate numbers among the other transactions for the particular period. If other numbers are not found, the transaction is executed; otherwise, it is still rejected. This is done to find out fake and auto-generated numbers. This security system will be helpful to ensure the authenticity of the user in digital payment systems.

Neural Fairness Blockchain Protocol Using an Elliptic Curves Lottery

To protect participants’ confidentiality, blockchains can be outfitted with anonymization methods. Observations of the underlying network traffic can identify the author of a transaction request, although these mechanisms often only consider the abstraction layer of blockchains. Previous systems either give topological confidentiality that may be compromised by an attacker in control of a large number of nodes, or provide strong cryptographic confidentiality but are so inefficient as to be practically unusable. In addition, there is no flexible mechanism to swap confidentiality for efficiency in order to accommodate practical demands. We propose a novel approach, the neural fairness protocol, which is a blockchain-based distributed ledger secured using neural networks and machine learning algorithms, enabling permissionless participation in the process of transition validation while concurrently providing strong assurance about the correct functioning of the entire network. Using cryptography and a custom implementation of elliptic curves, the protocol is designed to ensure the confidentiality of each transaction phase and peer-to-peer data exchange.

Experimental Performance Analysis of a Scalable Distributed Hyperledger Fabric for a Large-Scale IoT Testbed.

Blockchain technology, with its decentralization characteristics, immutability, and traceability, is well-suited for facilitating secure storage, sharing, and management of data in decentralized Internet of Things (IoT) applications. Despite the increasing development of blockchain platforms, there is still no comprehensive approach for adopting blockchain technology in IoT systems. This is due to the blockchain’s limited capability to process substantial transaction requests from a massive number of IoT devices. Hyperledger Fabric (HLF) is a popular open-source permissioned blockchain platform hosted by the Linux Foundation. This article reports a comprehensive empirical study that measures HLF’s performance and identifies potential performance bottlenecks to better meet the requirements of blockchain-based IoT applications. The study considers the implementation of HLF on distributed large-scale IoT systems. First, a model for monitoring the performance of the HLF platform is presented. It addresses the overhead challenges while delivering more details on system performance and better scalability. Then, the proposed framework is implemented to evaluate the impact of varying network workloads on the performance of the blockchain platform in a large-scale distributed environment. In particular, the performance of the HLF is evaluated in terms of throughput, latency, network size, scalability, and the number of peers serviceable by the platform. The obtained experimental results indicate that the proposed framework can provide detailed real-time performance evaluation of blockchain systems for large-scale IoT applications.

Blockchain Based e-Voting System

Abstract: There may be no doubt that the progressive idea of the blockchain, that is the underlying era in the back of the famous cryptocurrency Bitcoin and its successors, is triggering the beginning of a brand new generation in the net and the web services. At the same time as most people focus simplest at cryptocurrencies; in truth, many administrative operations, fintech techniques, and regular services that may handiest be finished offline and/or in person, can now competently be moved to the net as on-line offerings. What makes it a powerful tool for digitizing everyday services is the creation of clever contracts, as in the Ethereum platform. Smart contracts are meaningful portions of codes, to be integrated in the blockchain and achieved as scheduled in each step of blockchain updates. E-voting on the other hand, is every other trending, yet vital, subject matter related to the online services. The blockchain with the smart contracts, emerges as an excellent candidate to apply in trends of more secure, less expensive, more comfortable, more obvious, and less complicated-to-use e vote casting systems. Ethereum and its community is one of the most suitable ones, due to its consistency, full-size use, and provision of smart contracts common sense. An e-balloting system should be comfy, as it has to now not allow duplicate votes and be completely obvious, at the same time as shielding the privacy of the attendees. In this work, we have carried out and tested a sample e-vote casting utility as a smart settlement for the Ethereum community, the use of the Ethereum wallets and the Solidity language. Android platform is likewise taken into consideration to permit vote casting for individuals who do not have an Ethereum wallet. After an election is held, eventually, the Ethereum blockchain will maintain the facts of ballots and votes. customers can submit their votes through an Android tool or immediately from their Ethereum wallets, and those transaction requests are treated with the consensus of each unmarried Ethereum node. This consensus creates a transparent environment for e-balloting. similarly to a large dialogue about reliability and performance of the blockchain-based e vote casting structures, our application and its take a look at consequences are presented on this paper, too.boundaries. Keywords: E-voting, Smart-contracts, Blockchain, Ethereum

E-Voting using Ethereum Blockchain

The revolutionary concept of blockchain has given a rise to multiple facets of secure, accountable, online services. We witness the rise of E-voting as a critical topic related to online services. Blockchain with smart contracts emerges as a good candidate to use in the development of safer, cheaper, more secure, more transparent, and easier to use e-voting systems. Ethereum and its network are one of the most viable candidates for the implementation of an e-voting system using blockchain, due to their consistency, widespread use, and provision of smart contracts logic. An e-voting system must be secure, as it should prevent duplication of votes while being fully transparent and protecting the privacy of the voters involved. In this work, we have implemented and tested a sample voting web - application as a smart contract for the Ethereum network using the Ethereum wallets and the Solidity language. Eventually, when elections are held, the Ethereum blockchain will store votes and voting results. Users can connect their Ethereum wallet and vote for the candidate they want to, and these transaction requests are processed by the consensus of each Ethereum node. These agreements create a transparent voting environment.

Designing Hybrid Mechanisms to Overcome Congestion in Sequential Dutch Auctions

A common problem in many mature markets is how to deal with congestion—a situation in which transaction requests from market participants cannot be accommodated in an expedited manner. This paper examines the congestion problem in sequential Dutch auction markets. Transactions in these markets typically involve perishable goods, making market clearing speed crucial. Traditionally, sequential Dutch auctions have been implemented with fast-paced auction clocks that process equally attractive bids in the order they arrive and only award the first bidder as the winner of each round, which can lead to serious congestion in case of a demand surge. We propose a hybrid mechanism that capitalizes on the discrete nature of the auction clock and batches together the highest bids, allowing multiple transactions at the same price in each round. To evaluate the performance of the hybrid mechanism, we first develop a game-theoretic model comparing the hybrid mechanism to the traditional sequential Dutch auction mechanism. Our model predicts that the hybrid mechanism will achieve higher operational efficiency without compromising allocative efficiency. We then complement the theoretical analysis by evaluating the hybrid mechanism through a quasi-natural field experiment. The empirical analysis of the field data shows that the hybrid mechanism can significantly speed up the market clearing process and increase price stability without affecting the expected revenue. Our findings shed new light on the design and operation of multi-unit auctions.

Utilizing Blockchain for IoT Privacy through Enhanced ECIES with Secure Hash Function

Blockchain technology has been widely advocated for security and privacy in IoT systems. However, a major impediment to its successful implementation is the lack of privacy protection regarding user access policy while accessing personal data in the IoT system. This work aims to preserve the privacy of user access policy by protecting the confidentiality and authenticity of the transmitted message while obtaining the necessary consents for data access. We consider a Modified Elliptic Curve Integrated Encryption Scheme (ECIES) to improve the security strength of the transmitted message. A secure hash function is used in conjunction with a key derivation function to modify the encryption procedure, which enhances the efficiency of the encryption and decryption by generating multiple secure keys through one master key. The proposed solution eliminates user-dependent variables by including transaction generation and verification in the calculation of computation time, resulting in increased system reliability. In comparison to previously established work, the security of the transmitted message is improved through a reduction of more than 12% in the correlation coefficient between the constructed request transaction and encrypted transaction, coupled with a decrease of up to 7% in computation time.

Secured Insurance Framework Using Blockchain and Smart Contract

Traditional insurance policy settlement is a manual process that is never hassle-free. There are many issues, such as hidden conditions from the insurer or fraud claims by the insured, making the settlement process rough. This process also consumes a significant amount of time that makes the process very inefficient. This whole scenario can be disrupted by the implementation of blockchain and smart contracts in insurance. Blockchain and innovative contract technology can provide immutable data storage, security, transparency, authenticity, and security while any transaction process is triggered. With the implementation of blockchain, the whole insurance process, from authentication to claim settlement, can be done with more transparency and security. A blockchain is a virtual chain of data blocks that is a decentralized technology. Any transaction or change in the blocks is done after the decentralized validator entity, not a single person. The smart contract is a unique facility stored on the blockchain that gets executed when the predetermined conditions are met. This paper presents a framework where smart contracts are used for insurance contracts and stored on blockchain. In the case of a claim, if all the predetermined conditions are met, the transaction happens; otherwise, it is discarded. The conditions are immutable. That means there is scope for alteration from either side. This blockchain and intelligent contract-based framework are hosted on a private Ethereum network. The Solidity programming language is used to create smart contracts. The framework uses the Proof of Authority (PoA) consensus algorithm to validate the transactions. In the case of any faulty transaction request, the consensus algorithm acts according to and cancels the claim. With blockchain and smart contract implementation, this framework can solve all the trust and security issues that rely on a standard insurance policy.

A Decentralized, Secure, Peer-to-Peer Multi-Voting System on Ethereum Blockchain

Abstract: A decentralised, Secure, Peer-to-Peer Multi-Voting System on Ethereum Blockchain is a distributed ledger technology (DLT) that permits virtual votes to be transacted in a peer-to-peer decentralized network. Those transactions are validated and registered through every node of the network, so creating a transparent and immutable series of registered events whose truthfulness is supplied through a consensus protocol. Smart contract automates the execution of agreement that runs routinely as soon as the conditions are satisfied. Smart contract would not need any third parties consequently prevents time loss. By Eliminating the requirement for third parties, consequently, allows numerous processes to be extra efficient and economical. The system is secure, reliable, and anonymous. Smart contract is enforced for the Ethereum network using the Ethereum wallets and also the Solidity language. Users are capable of submit their votes immediately from their Ethereum wallets, and those transaction requests is handled with the consensus of each single Ethereum node. This creates a transparent environment for evoting. A lot of concerning efficiency of the peer-to-peer decentralized electoral system on Ethereum network along with application and the outcomes of implementation are provided in this paper. Keywords: Blockchain, Distributed Ledger Technology (DLT), Consensus Protocol, Smart Contracts, Ethereum, Solidity

In-network support for transaction triaging

We introduce Transaction Triaging, a set of techniques that manipulate streams of transaction requests and responses while they travel to and from a database server. Compared to normal transaction streams, the triaged ones execute faster once they reach the database. The triaging algorithms do not interfere with the transaction execution nor require adherence to any particular concurrency control method, making them easy to port across database systems. Transaction Triaging leverages recent programmable networking hardware that can perform computations on in-flight data. We evaluate our techniques on an in-memory database system using an actual programmable hardware network switch. Our experimental results show that triaging brings enough performance gains to compensate for almost all networking overheads. In high-overhead network stacks such as UDP/IP, we see throughput improvements from 2.05X to 7.95X. In an RDMA stack, the gains range from 1.08X to 1.90X without introducing significant latency.

Enhancing Security System of Short Message Service for Banking Transaction

SMS banking still becomes a popular way to make transaction inquiry in Indonesia. The technology protocol used by the service provider is still not secure. The majority of local banks in Indonesia still use non-secure SMS protocols standard. Therefore, an SMS Banking protocol, providing information security service in the transactional message, is urgently in need. Information security can be achieved through some security mechanisms, i.e., encipherment, digital signature, data integrity, and key exchange. These mechanisms are applicable through the implementation of cryptography. SMS Banking security protocol in this research runs through two steps. The first step is the transmission of the transaction request, and the second step is the transaction process. The encipherment is conducted using 3DES symmetric cryptography. Digital signature and data integrity are conducted using ECDSA asymmetric cryptography. The key exchange is conducted using ECDH. The test result showed that the implementation of the protocol could conduct an SMS Banking service and provide protection over the PIN. In general, this protocol has fulfilled X.800 security services.