Jiejun Hu, Martin J. Reed, Nikolaos Thomos, Mays F. AI-Naday · 5 authors
The Internet of Things (IoT) connected by software-defined networking (SDN) promises to bring great benefits to cyber-physical systems. However, the increased attack surface offered by the growing number of connected vulnerable devices and separation of SDN control and data planes could overturn the huge benefits of such a system. This article addresses the vulnerability of the trust relationship between the control and data planes. To meet this aim, we propose an edge computing-based Blockchain as a Service (BaaS), enabled by an external BaaS provider. The proposed solution provides verification of inserted flows through an efficient, edge-distributed, blockchain solution. We study two scenarios for the blockchain reward purpose: 1) information symmetry, in which the SDN operator has direct knowledge of the real effort spent by the BaaS provider and 2) information asymmetry, in which the BaaS provider controls the exposure of information regarding spent effort. The latter yields the so-called “moral hazard,” where the BaaS may claim higher than actual effort. We develop a novel mathematical model of the edge BaaS solution and propose an innovative algorithm of a fair reward scheme based on game theory that takes into account moral hazard. We evaluate the viability of our solution through analytical simulations. The results demonstrate the ability of the proposed algorithm to maximize the joint profits of the BaaS and SDN operator, i.e., maximizing the social welfare.
Voltage controls the majority of the processes around us, starting from lighting an incandescent lamp to running huge machines in industries. Therefore, voltage monitoring becomes essential, which demands efficient measurement and storage of voltage data. However, there is hardly any system till date that fulfils both the goals of voltage monitoring and voltage data storage. To achieve this goal, we propose the application of the Internet of Things along with the server-based framework and Distributed Ledger Technology to build systems for smart voltage monitoring. Two models - a centralised model and a decentralised model have been presented and analysed thoroughly in this paper. The centralised model is built on client-server architecture, whereas the decentralised model is based on a peer-to-peer architecture. Blockchain and InterPlanetary File System have been used for the implementation of the decentralised system. Potential improvements to make these systems robust have also been discussed. The methods proposed in this paper for voltage monitoring are novel; ensure efficient data storage and can be used for IoT data storage of any form.
Amjad Saeed Khan, Xinruo Zhang, Sangarapillai Lambotharan, Gan Zheng · 6 authors
Inspired by its success in financial sectors, the blockchain technique is emerging as an enabling technology for secure distributed control and management of wireless networks. In order to fully benefit from this distributed ledger technology, its limitations, cost, complexity and empowerment also have to be critically appraised. Depending on the specific context of the problem to be solved, these limitations have been handled to some extent through a clear dichotomy in the blockchain architectures, namely by conceiving both permissioned and permissionless blockchains. Permissionless blockchain requires massive computing power to achieve consensus, while its permissioned counterpart is energy efficient but would require trusted participants. To combine these benefits by gaining trust at a high energy efficiency, a novel mechanism is proposed for automatically learning the trust level of users in a public blockchain network and granting them access to a private blockchain network. In this context, machine learning is a very powerful tool capable of automatically learning the trust level. We have proposed reinforcement learning for bridging the dichotomy of blockchains in terms of striking a trust vs complexity trade-off in an unknown environment. Benefits and limitations of various forms of blockchain techniques are analyzed, followed by their reinforcement-aided evolution. We demonstrate that the proposed reinforcement learning aided blockchain is capable of supporting high-integrity autonomous operation and decision making in wireless networks. The win-win amalgamation of these techniques has been demonstrated for striking a compelling balance between the benefits of permissioned and permissionless blockchain networks through the case-study of the proposed blockchain based unmanned aerial vehicle aided wireless networks.
Gerardo Canfora, Andrea Di Sorbo, Sonia Laudanna, Anna Vacca · 5 authors
Nowadays, blockchain technologies are increasingly adopted for different purposes and in different application domains. Accordingly, more and more applications are developed for running on a distributed ledger technology (i.e., \textit{dApps}). The business logic of a dApp (or part of it) is usually implemented within one (or more) smart contract(s) developed through Solidity, an object-oriented programming language for writing smart contracts on different blockchain platforms, including the popular Ethereum. In Ethereum, once compiled, the smart contracts run on the machines of miners who can earn Ethers (a cryptographic currency like Bitcoin) by contributing their computing resources and the \textit{gas} (in Ether) corresponds to the execution fee compensating such computing resources. However, the deployment and execution costs of a smart contract strictly depend on the choices done by developers while implementing it. Unappropriated design choices -- e.g., in the data structures and the specific instructions used -- could lead to higher gas consumption than necessary. In this paper, we systematically identify a set of 20 Solidity code smells that could affect the deployment and transaction costs of a smart contract, i.e., \textit{cost smells}. On top of these smells, we propose GasMet, a suite of metrics for statically evaluating the code quality of a smart contract, from the gas consumption perspective. In an experiment involving 2,186 real-world smart contracts, we demonstrate that the proposed metrics (i) have direct associations with deployment costs, and (ii) they could be used to properly identify the level of gas consumption of a smart contract without the need for deploying it.
This paper proposes an architecture and a protocol suite for a permissioned blockchain for a local IoT network. The architecture is based on a sealed Sequencer and a Fog Server running (post-quantum) Guy Fawkes protocols. The blocks of the blockchain are stored in networked Content Addressable Storage alongside any user data and validity proofs. We maintain that a typical IoT device can, despite its resource limitations, use our blockchain protocols directly, without a trusted intermediary. This includes posting and monitoring transactions as well as off-chain (post-quantum) emergency communications without an explicit public key. Keywords: blockchain, Guy Fawkes protocol, post-quantum, HORS-OTS, LoRa, concurrent transmission
As a future energy system, the smart grid is designed to improve the efficiency of traditional power systems while providing more stable and reliable services. However, this efficient and reliable service relies on collecting and analyzing users’ electricity consumption data frequently, which induces various security and privacy threats. To address these challenges, we propose a double-blockchain assisted secure and anonymous data aggregation scheme for fog-enabled smart grid named DA-SADA. Specifically, we design a three-tier architecture-based data aggregation framework by integrating fog computing and the blockchain, which provides strong support for achieving efficient and secure data collection in smart grids. Subsequently, we develop a secure and anonymous data aggregation mechanism with low computational overhead by jointly leveraging the Paillier encryption, batch aggregation signature and anonymous authentication. In particular, the system achieves fine-grained data aggregation and provides effective support for power dispatching and price adjustment by the designed double-blockchain and two-level data aggregation. Finally, the superiority of the proposed scheme is illustrated by a series of security and computation cost analyses.
Horst Treiblmaier, Abderahman Rejeb, Andreas Strebinger
The term “Smart City” denotes a comprehensive concept to alleviate pending problems of modern urban areas which have developed into an important work field for practitioners and scholars alike. However, the question remains as to how cities can become “smart”. The application of information technology is generally considered a key driver in the “smartization” of cities. Detailed frameworks and procedures are therefore needed to guide, operationalize, and measure the implementation process as well as the impact of the respective technologies. In this paper, we discuss blockchain technology, a novel driver of technological transformation that comprises a multitude of underlying technologies and protocols, and its potential impact on smart cities. We specifically address the question of how blockchain technology may benefit the development of urban areas. Based on a comprehensive literature review, we present a framework and research propositions. We identify nine application fields of blockchain technology in the smartization of cities: (1) healthcare, (2) logistics and supply chains, (3) mobility, (4) energy, (5) administration and services, (6) e-voting, (7) factory, (8) home and (9) education. We discuss current developments in these fields, illustrate how they are affected by blockchain technology and derive propositions to guide future research endeavors.
The proliferation of IoT in various technological realms has resulted in the massive spurt of unsecured data. The use of complex security mechanisms for securing these data is highly restricted owing to the low-power and low-resource nature of most of the IoT devices, especially at the Edge. In this article, we propose to use blockchains for extending security to such IoT implementations. We deploy a Ethereum blockchain consisting of both regular and constrained devices connecting to the blockchain through wired and wireless heterogeneous networks. We additionally implement a secure and encrypted networked clock mechanism to synchronize the non-real-time IoT Edge nodes within the blockchain. Further, we experimentally study the feasibility of such a deployment and the bottlenecks associated with it by running necessary cryptographic operations for blockchains in IoT devices. We study the effects of network latency, increase in constrained blockchain nodes, data size, Ether, and blockchain node mobility during transaction and mining of data within our deployed blockchain. This study serves as a guideline for designing secured solutions for IoT implementations under various operating conditions such as those encountered for static IoT nodes and mobile IoT devices.
The COVID-19 pandemic has adversely affected almost all aspects of human life, various sectors of business, and regions of the world. The flow of human activities halted for several months, and are now being carefully redefined to align with guidelines and recommendations to avoid the spread of the novel coronavirus. In contrast to other pandemics the world has witnessed in the past, the technological advancements of the current era are a boon that can play a key role in safeguarding humanity. In this work, we begin by highlighting general challenges that have arisen during the COVID-19 pandemic. Next, to gauge the applicability of blockchain as a key enabling technology, we identify potential use cases to meet current needs. Furthermore, for each use case, we present a high-level view of how blockchain can be leveraged and discuss the expected performance. Finally, we highlight the challenges that must be addressed to harness the full potential of blockchain technology and discuss plausible solutions.
As the IoT is moving out of its early stages, it is emerging as an area of future internet. The evolving communication paradigm among cloud servers, Fog nodes and IoT devices are establishing a multilevel communication infrastructure. Fog provides a platform for IoT along with other services like networking, storage and computing. With the tremendous expansion of IoT, security threats also arise. These security hazards cannot be addressed by mere dependence on cloud model. In this paper we present an overview of security landscape of Fog computing, challenges, and, existing solutions. We outline major authentication issues in IoT, map their existing solutions and further tabulate Fog and IoT security loopholes. Furthermore this paper presents Blockchain, a decentralized distributed technology as one of the solutions for authentication issues in IoT. We tried to discuss the strength of Blockchain technology, work done in this field, its adoption in COVID-19 fight and tabulate various challenges in Blockchain technology. At last we present the Cell Tree architecture as another solution to address some of the security issues in IoT, outlined its advantages over Blockchain technology and tabulated some future course to stir some attempts in this area.
This paper presents a PhD research plan that focuses on solving existing problems in requirements engineering, by means of a novel blockchain-enabled framework. Requirements engineering in general and requirements traceability in particular are characterized by a variety of distributed stakeholders and heterogeneity of tools. These characteristics introduce integration, communication, coordination and trust issues and impede the accurate and trustworthy traceability of requirements. Thereby, this paper proposes blockchain technology for the trustworthy management and traceability of requirements throughout the software development life cycle.
Time synchronization among IoT devices is a fundamental requirement for efficient and reliable communication on a global scale. Common synchronization schemes such as NTP operate on a trust-based client-server model, which does not scale well in a decentralized network because single server failures can lead to a severe downtime before re-establishing synchronization. Public blockchains such as Ethereum provide a trustless network and tamper-proof time-stamped data that is freely available. In this paper, we leverage the availability of time information in the block headers, which are very small (several hundreds of bytes) compared to the full blocks and can be validated without participation in the mining process. Our approach uses two estimators that are fed with the timestamps from block headers as well as the elapsed time between consecutive block receptions to estimate the true time to an accuracy of one second. We evaluate our approach by extensive validation on blockchain data from different geographical locations across the globe and show that global synchronization can be established despite the non-deterministic behavior of blockchains such as mining difficulty, network latencies and forks.
In 2019, a team at the Federal Reserve Board (Board) conducted small-scale experimentation, named the "FooWire project," to build a payment system using distributed ledger technology (DLT). The team built the system using Hyperledger Fabric, a popular DLT platform, because it generally met the team's design requirements of a closed network, mature technology, and enterprise readiness.
James R. Clavin, Sisi Duan, Haibin Zhang, Vandana P. Janeja · 8 authors
Blockchain is the technology used by developers of cryptocurrencies, like Bitcoin, to enable exchange of financial “coins” between participants in the absence of a trusted third party to ensure the transaction, such as is typically done by governments. Blockchain has evolved to become a generic approach to store and process data in a highly decentralized and secure way. In this article, we review blockchain concepts and use cases, and discuss the challenges in using them from a governmental viewpoint. We begin with reviewing the categories of blockchains, the underlying mechanisms, and why blockchains can achieve their security goals. We then review existing known governmental use cases by regions. To show both technical and deployment details of blockchain adoption, we study a few representative use cases in the domains of healthcare and energy infrastructures. Finally, the review of both technical details and use cases helps us summarize the adoption and technical challenges of blockchains.
Moayad Aloqaily, Ouns Bouachir, Azzedine Boukerche, Ismaeel Al Ridhawi
Fifth generation (5G) wireless networks are designed to meet various end-user quality of service (QoS) requirements through high data rates (typically of gigabits per second) and low latencies. Coupled with fog and mobile edge computing, 5G can achieve high data rates, enabling complex autonomous smart city services such as the large deployment of self-driving vehicles and large-scale artificial-intelligence-enabled industrial manufacturing. However, to meet the exponentially growing number of connected IoT devices and irregular data and service requests in both low- and high-density locations, the process of enacting traditional cells supported through fixed and costly base stations requires rethought to enable on-demand mobile access points in the form of unmanned aerial vehicles (UAV) for diversified smart city scenarios. This article envisions a 5G network environment that is supported by blockchain-enabled UAVs to meet dynamic user demands with network access supply. The solution enables decentralized service delivery (drones as a service) and routing to and from end users in a reliable and secure manner. Both public and private blockchains are deployed within the UAVs, supported by fog and cloud computing devices and data centers to provide a wide range of complex authenticated service and data availability. Particular attention is paid to comparing data delivery success rates and message exchange in the proposed solution against traditional UAV-supported cellular networks. Challenges and future research are also discussed with highlights on emerging technologies such as federated learning.
This is a data descriptor paper for a set of the battery output data measurements during the turned on display discharge process caused by the execution of modern mobile blockchain projects on Android devices. The measurements were executed for Proof-of-Work (PoW) and Proof-of-Activity (PoA) consensus algorithms. In this descriptor, we give examples of Samsung Galaxy S9 operation while a broader range of measurements is available in the dataset. Examples provide the data about battery output current, output voltage, temperature, and status. We also show the measurements obtained utilizing short-range (IEEE 802.11n) and cellular (LTE) networks. This paper describes the proposed dataset and the method employed to gather the data. To provide a further understanding of the dataset’s nature, an analysis of the collected data is also briefly presented. This dataset may be of interest to both researchers from information security and human–computer interaction fields and industrial distributed ledger/blockchain developers.
Nowadays, blockchain is developing as a secure and trustworthy platform for secure information sharing in areas of application like banking, supply chain management, food industry, energy, the Internet, and medical services. Besides, the blockchain can be described in a decentralized manner as an immutable ledger for recording data entries. Furthermore, this new technology has been developed to interrupt a variety of data-driven fields, including the health sector. However, blockchain refers to the distributed ledger technology, which constitutes an innovation in the information recording and sharing without a trusted third party. In this paper, blockchain and Distributed Ledger-based Improved Biomedical Security system (BDL-IBS) has been proposed to enhance the privacy and data security across healthcare applications. Further, our goal is to make it possible for patients to use the data to support their care and to provide strong consent systems for sharing data among different organizations and applications, since this includes managing and accessing a high amount of medical information, and this technology can maintain data to ensure reliability. Finally, results show that new blockchain-based digital platforms allow for fast, easy, and seamless interactions between data suppliers to enhance privacy and data security, including for patients themselves.
Pervasive edge computing (PEC) is an emerging paradigm for the industrial Internet of Things (IIoT), and software-defined networks (SDN) offer lower latency services, and massive intelligent devices connectivity for the IIoT. However, the PEC has some issues with data security, and privacy while PEC devices sharing data among edges. What's more, the centralized SDN suffers from single point of attacks such as distributed denial of service (DDoS) from IIoT devices, and has the challenge of data leakage. In this article, we use blockchain, and proxy reencryption (PRE) technologies to tackle these challenges. The blockchain authorizes all devices in the network to improve their credibility, and authenticity. In addition, a blockchain-based data sharing framework that combines a PRE scheme is introduced for secure device-to-device communication in PEC environments. A series of smart contracts are designed for flexible operations of searching, and updating records on the blockchain. The experiments reveal that our design is highly efficient, and has high performance.
T. Rama Reddy, P. V. G. D. Prasad Reddy, Rayudu Srinivas, Ch. V. Raghavendran · 6 authors
Abstract Education acts as a soul in the overall societal development, in one way or the other. Aspirants, who gain their degrees genuinely, will help society with their knowledge and skills. But, on the other side of the coin, the problem of fake certificates is alarming and worrying. It has been prevalent in different forms from paper-based dummy certificates to replicas backed with database tampering and has increased to astronomic levels in this digital era. In this regard, an overlay mechanism using blockchain technology is proposed to store the genuine certificates in digital form and verify them firmly whenever needed without delay. The proposed system makes sure that the certificates, once verified, can be present online in an immutable form for further reference and provides a tamper-proof concealment to the existing certification system. To confirm the credibility of the proposed method, a prototype of blockchain-based credential securing and verification system is developed in ethereum test network. The implementation and test results show that it is a secure and feasible solution to online credential management system.
Open access
2 source records
Blockchain Technology Applications and Security
Retinal Imaging and Analysis
Advanced Steganography and Watermarking Techniques
Santiago Figueroa-Lorenzo, Jon Goya, Javier Añorga, Iñigo Adín · 6 authors
The European Union is moving toward the “smart” era having as one of the key topics the smart mobility. What is more, the European union (EU) is moving toward Mobility as a Service (MaaS). The key concept behind MaaS is the capability to offer both the traveler's mobility and goods' transport solutions based on travel needs. For example, unique payment methods, intermodal tickets, passenger services, freight transport services, etc. The introduction of new services implies the integration of many Internet-of-Things (IoT) sensors. At this point, security gains a key role in the railway sector. Considering an environment where sensor data are monitored from sensor events, and alarms are detected and emitted when events contain an anomaly, this document proposes the development of an alarms collection system, which ensures both traceability and privacy of these alarms. This system is based on Ethereum blockchain events-log, as an efficient storage mechanism, which guarantees that any railway entity can participate in the network, ensuring both entity security and information privacy.
Anushree Tandon, Amandeep Dhir, A.K.M. Najmul Islam, Matti Mäntymäki
This study presents a systematic literature review (SLR) of research on blockchain applications in the healthcare domain. The review incorporated 42 articles presenting state-of-the-art knowledge on current implications and gaps pertaining to the use of blockchain technology for improving healthcare processes. The SLR findings indicate that blockchain is being used to develop novel and advanced interventions to improve the prevalent standards of handling, sharing, and processing of medical data and personal health records. The application of blockchain technology is undergoing a conceptual evolution in the healthcare industry where it has added significant value through improved efficiency, access control, technological advancement, privacy protection, and security of data management processes. The findings also suggest that the extant limitations primarily pertain to model performance, as well as the constraints and costs associated with implementation. An integrated framework is presented to address potential areas wherein future researchers can contribute significant value, including addressing concerns regarding regulatory compliance, system architecture, and data protection. Finally, the SLR suggests that future research can facilitate the widespread deployment of blockchain applications to address critical issues related to medical diagnostics, legal compliance, avoiding fraud, and improving patient care in cases of remote monitoring or emergencies.