Anomaly Detection in Blockchain Using Machine Learning

SummaryThe block chain is the emerging domain that offers the features like shared, immutable, and decentralized dataset that saves the asset's history. Security and storage are the most challenging aspect. The classical techniques' issues and challenges are an encouragement for developing a fresh block chain‐assisted IPFS model with access control policies. Hence, this research paper introduces an effective access control and authentication based on an interplanetary file system (IPFS)‐based block chain and access control system for attaining secured transactions. The developed method comprises five entities, that is smart contract, data owner, data requester, block chain and IPFS along with eight phases, to be exact setup, user registration, initialization, storage and data encryption, authentication, testing, access control, and decryption phase, to provide better access control and storage capacity. The proposed IPFS‐based block chain and access control system offered effective storage and secure transactions in the block chain network. The highest detection rate (0.870), lowest communication overhead (0.766 MB), and highest privacy rate (0.719) are all achieved by the proposed IPFS‐based block chain and access control system.

Blockchain technology, smart contract and microgrid systems have facilitated innovations and breakthroughs in the electricity industry. The once bundled electricity market dominated by a few key players is now gradually becoming unbundled to a more consumer-centric market due to these new technologies. To facilitate the use of community microgrids, this study develops a new trend in peer-to-peer energy trading. In this work, a model for a smart microgrid system, a decentralized energy trading platform based on blockchain, and smart contract technologies is proposed, considering an islanded community microgrid network of energy prosumers. Smart meters were used to ensure the bi-directional flow of data and power, thereby giving prosumers control over their power usage. Storage and validation of participants’ data are stored on the blockchain network, which has a strong feature of decentralization, transparency, security and data immutability. The smart contract automatically executes power delivery and transfer of tokens from the buyer’s wallet to the seller’s energy wallet based on the transaction logic and protocol. A web-user interface was designed to enable the ease of transactions by market participants and the web-user interface was designed on React.Javascript while the smart contract codes were done on the solidity programming language. Algorithms were also developed for the market trade operations in real time and sets of mathematical equations were formulated for energy pricing based on the supply and demand philosophies to curtail over-pricing and underpricing of energy.

In these years, Blockchain technology is growing in importance thanks to cryptocurrencies. This technology offers many features such as the immutability of data stored in the data chain, the replicability of data in nodes, the management without a central repository, etc. These features are widely adopted also in other fields such as in distributed measurement systems. Although the Blockchain technology is widespread worldwide, there is still a legislative gap in the adoption of this technology in various states. This paper will examine the challenge and future trends on distributed measurement systems based on Blockchain technology in the European context. In particular, critical aspects of Blockchain technology will be examined under GDPR point of view and in particular in the management of data and privacy. The advantages and disadvantages of using Blockchain technology in applications such as the Internet of Things and smart contracts will be discussed and some aspects of legal metrology in Blockchain networks will be analyzed. At the end, future trends in Blockchain technology applied to distributed measurement systems will be shown.

A comprehensive survey of smart contract security: State of the art and research directions

The convergence of the Internet of Things (IoT), fog computing, and block chain technology has revolutionized contemporary digital ecosystems by making data management decentralized, efficient, and scalable. Nonetheless, this integration poses serious security and privacy threats. IoT devices produce enormous amounts of sensitive data, making them easy targets for cyber attacks, unauthorized access, and data breaches. Classic cloud-based solutions tend to be challenged by latency, bandwidth limitations, and centralized attacks, making the use of fog computing inevitable to decentralize data processing for better responsiveness and decreased dependency on remote cloud servers. While fog computing offers advantages, it also poses new security threats through possible insider attacks and data integrity issues. Block chain technology solves these problems by presenting a tamper-resistant, decentralized ledger that improves trust, security, and transparency for IoT networks. Block chain, via cryptographic authentication, consensus protocols, and smart contracts, ensures the secure transaction of data while alleviating risks against unauthorized data manipulation. Scalability, computational complexity, and energy efficiency are still challenges that need to be met for widespread IoT adoption. This chapter discusses the complex security and privacy problems in IoT, fog, and blockchain networks and examines current threats and countermeasures. Advanced cryptographic methods, secure communication schemes, and access control techniques for strengthening the security of these connected systems are mentioned. It further presents future research directions and trends that will improve a safer, more efficient, and privacy-augmented digital infrastructure.

Blockchain technology and its applications are gaining popularity day by day. It is a ground-breaking technology that allows users to communicate without the need of a trusted middleman. A smart contract (self-executable code) is deployed on the blockchain and auto executes due to a triggering condition. In a no-trust contracting environment, smart contracts can establish trust among parties. Terms and conditions embedded in smart contracts will be imposed immediately when specified criteria have been fulfilled. Due to this, the malicious assailants have a special interest in smart contracts. Blockchains are immutable means if some transaction is deployed or recorded on the blockchain, it becomes unalterable. Thus, smart contracts must be analyzed to ensure zero security vulnerabilities or flaws before deploying the same on the blockchain because a single vulnerability can lead to the loss of millions. For analyzing the security vulnerabilities of smart contracts, various analysis tools have been developed to create safe and secure smart contracts. This paper presents a systematic review on Ethereum smart contracts analysis tools. Initially, these tools are categorized into static and dynamic analysis tools. Thereafter, different sources code analysis techniques are studied such as taint analysis, symbolic execution, and fuzzing techniques. In total, 86 security analysis tools developed for Ethereum blockchain smart contract are analyzed regardless of tool type and analysis approach. Finally, the paper highlights some challenges and future recommendations in the field of Ethereum smart contracts.

The world today has realized the vast technological evolution that has greatly shaped the production and management functions of business enterprises. Traditional contracts can take weeks or even months to initiate, and there have been numerous instances of breaches and lack of trust for contracts in both the private and public sector. A smart contract can be defined as a self-executing contract that utilizes blockchain technology to digitally enforce, verify, or facilitate the performance or negotiation of a contract. Owing to the security and decentralized system exhibited by blockchain technology, smart contracts can foster transaction credibility between contracting parties without the necessity of third parties as exhibited in traditional contracts. Any business organization that aims at achieving greater heights in management and production dimensions must consider utilizing robust technologies that are aimed at bolstering its competitive edge. Owing to the newness of smart contracts, characterized by very few studies on the same, this research reviews how smart contracts through blockchain technology can be implemented in an organization to enhance performance and outlines the applications, benefits, and limitations associated with such contracts. Keywords: Blockchain technology; smart contracts; smart contract applications; smart contract benefits; smart contract implementation; cryptography; cryptocurrency DOI : 10.7176/JIEA/9-5-07 Publication date :September 30 th 2019

Blockchain and drone technologies can operate in cooperation with each other. As the number of drones increases, managing them becomes a significant challenge. A swarm of drones, also referred to as swarm drones, must operate reliably and securely. In this study, blockchain technology is utilized through a smart contract to ensure both security and reliability. Swarm drones are deployed for surveillance missions, where each execution corresponds to a single mission. These missions are represented using a simple model. A smart contract maintains the essential mission data in the model. The mission is divided into smaller tasks. Until all the tasks are completed, they are executed by drones in parallel. The smart contract, implemented on the Ethereum platform, securely exchanges information with the drones. The proposed model functions dynamically. It reorganizes when drones leave or new drones join the system. Because blockchain platforms have limited resources, particularly in memory and the number of permissible execution operations, optimizations are applied to both the smart contract and drone programs to accommodate these constraints within the surveillance framework. The proposed surveillance model is implemented and simulated to analyze its dynamic behavior.

The integration of emerging technologies like blockchain and artificial intelligence (AI) into educational financial systems has likely to transform the institutions manage payments, ensure data security, and promote operational transparency. This study addresses the awareness and attitudes of students in higher education institutions across Tiruchirappalli regarding the application of blockchain and AI in educational payment systems. Specifically, it aims to assess students’ knowledge of these technologies, examine their views on the role of blockchain and AI in maintaining data security, and explore their opinions on the potential of blockchain–AI integration to enhance payment efficiency and transparency. This study proposes a hybrid framework that leverages the immutable, decentralized ledger of blockchain to secure academic records, personal student data, and financial transactions. Concurrently, AI algorithms are employed to analyze transactional data for fraud detection, optimize payment reconciliation, and provide predictive insights into financial trends. The proposed system utilizes block chain to create a tamper-proof and transparent record of all educational activities, from student enrollments to exam results, accessible only to authorized parties via smart contracts. AI models, integrated with the block chain, can proactively identify anomalies and potential security threats in real time. For payment services, the system facilitates secure, transparent, and instantaneous tuition fee payments and other financial transactions, reducing administrative overhead and eliminating intermediaries. The primary contribution of this research is a proof-of-concept model demonstrating the synergy between block chain's security features and AI's analytical capabilities to create a robust, efficient, and user-centric digital ecosystem for educational institutions. The findings indicate that this integrated approach significantly improves data integrity, reduces the risk of cyber threats, and enhances the overall efficiency of financial and administrative operations. This research provides a valuable blueprint for educational bodies in Tiruchirappalli and beyond to modernize their digital infrastructure and build a foundation of trust and security in the digital age.

In some liberal democracies, governments allow people to legally own guns to protect their lives and property. However, gun crime has been increasing in recent years. Taking the United States, for example, a report pointed out that Americans are 10 times more likely to be shot than citizens of other countries. Murder using guns in the United States is 25 times more than that in the other 22 high-income countries. Most of these guns came from other cities. These illegally circulating guns are directly linked to deadly street violence. This means that effective firearm management can reduce deadly violence. In the past few years, Radio Frequency IDentification (RFID) technology was often used to track the supply chain. However, in the traditional supply chain, only the participants of the supply chain can query information. Furthermore, only the participants can verify the correctness of the data. This result causes information to be not transparent. On the other hand, blockchain technology, with a unique combination of features such as distributed notes, decentralized structure, consensus algorithm, storage mechanism, asymmetric encryption, and smart contract, ensures network visibility, transparency, and security. Therefore, we combine blockchain and RFID technology to propose a traceable firearm management system based on blockchain and Internet of Things (IoT) technology. The proposed method achieves several goals. First of all, the characteristic data through the blockchain can be publicly verified and the information will not be modified. The traceability of the data and the application of RFID can effectively manage the production chain. In addition, we used Burrows–Abadi–Needham logic (BAN logic) logic to prove mutual authentication, and the nonrepudiation and integrity method can also be achieved in our proposed scheme.

As the mobility of global capital is getting higher, more and more investors tend to invest in overseas real estate. However, the conventional model of investing in real estate possesses several disadvantages including high entry hurdles, low levels of market liquidity, and low transparency, particularly for retail investors. This article will seek to establish how blockchain technology as applied in smart contracts can help in the clarification of unclear fragmented investments in overseas property. First of all, this paper begins with the definition and examples of applying conventional and advanced blockchain technology and then describes the work of smart contracts and the comparison between regular contracts and smart contracts. The paper also evaluates the nature of fragmented investment in overseas property and its associated risks before suggesting the use of blockchain and smart contracts for a new institutional structure of the investment platform. This study demonstrates how the technologies can advance data sec, promote trust in transactions, and how investment can be automated. It can be concluded that blockchain technology, and smart contracts, can enhance Overseas Real Estate Investment by increasing transparency and decreasing the investment threshold as well as the instances of fraud. This study also presents an analysis of the potential difficulties that may be encountered in real-world applications and a recommendation of what may be done in subsequent studies. On one hand, this research offers a new perspective to the theoretical world, on the other hand, it offers practical problems and solutions to the practitioners who are a part of overseas real estate markets and businesses by steadily helping the overseas real estate markets to move in the fairer and more transparent direction.

Blockchain is a type of decentralized database where all data are kept in one large chain of interconnected blocks of data stored on a large number of servers around the world. Besides decentralization, an additional advantage of this technology is the absence of intermediaries in communication between participants in the process. With the advent of the Ethereum network which is based on blockchain technology, in addition to performing financial transactions, now it is possible to create programs that could be executed on this network. However, execution of these programs, known as Smart Contract, costs money that is billed on this network in the form of gas which is directly proportional to the complexity of the computer operations performed within these contracts. Optimizing the structure and content of smart contracts directly implies reducing the cost/gas for their execution. In this paper we propose the structure of smart contracts in the context of gas optimization for their execution.

BackgroundAn estimated US $2.6 billion loss is attributed to health care fraud and abuse. With traditional health care claims verification and reimbursement, the health care provider submits a claim after rendering services to a patient, which is then verified and reimbursed by the payer. However, this process leaves out a critical stakeholder: the patient for whom the services are actually rendered. This lack of patient participation introduces a risk of fraud and abuse. Blockchain technology enables secure data management with transparency, which could mitigate this risk of health care fraud and abuse.ObjectiveThe aim of this study is to develop a framework using blockchain to record claims data and transactions in an immutable format and to enable the patient to act as a validating node to help detect and prevent health care fraud and abuse.MethodsWe developed a health care fraud and abuse blockchain technical framework and prototype using key blockchain tools and application layers including consensus algorithms, smart contracts, tokens, and governance based on digital identity on the Ethereum platform (Ethereum Foundation).ResultsOur technical framework maps to the claims adjudication process and focuses on Medicare claims, with the US Centers for Medicare and Medicaid Services (CMS) as the central authority. A prototype of the framework system was developed using the blockchain platform Ethereum (Ethereum Foundation), with its design features, workflow, smart contract functions, system architecture, and software implementation outlined. The software stack used to build the system consisted of a front-end user interface framework, a back-end processing server, and a blockchain network. React was used for the user interface framework, and NodeJS and an Express server were used for the back-end processing server; Solidity was the smart contract language used to interact with a local Ethereum blockchain network.ConclusionsThe proposed framework and the initial prototype have the potential to improve the health care claims process by using blockchain technology for secure data storage and consensus mechanisms, which make the claims adjudication process more patient-centric for the purposes of identifying and preventing health care fraud and abuse. Future work will focus on the use of synthetic or historic CMS claims data to assess the real-world viability of the framework.

Approaches to Adopt Blockchain Technology for Internet of Things

Blockchain Technology (BT) and Big Data (BD)-based data management solutions can be used for storing and processing sensitive patient data efficiently in the healthcare field. While many institutions and industries have recognized the significance of both technologies, few have implemented and executed them in the health sector when it comes to the management of patients’ medical records. By leveraging Patients’ Health Records (PHR) data, the purpose of this paper is to develop a practical application with an architecture built on BT and BD technologies and to help organizations manage data requirements and enhance data security, provenance, traceability, availability, and effective identity management. For that purpose, a case study was developed, which covers the BT and BD key considerations, as well as key issues such as policies, smart contracts, consent, and provision of secure identities, so that records are properly managed and controlled. Hence, the purpose of this study is to summarize the key characteristics of a practical EHR implementation, emphasizing security measures and technologies to decipher the effectiveness of the included technological components, such as decentralized identification, consent management, and private BT management. According to the results of the case study research, the presented solution has high accuracy and is capable of managing PHR effectively. Additionally, it has been shown to have a high practical value when it comes to meeting the accuracy and real-time requirements of BT and BD applications.