Jan 1, 2019·Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Nowadays, Blockchain Technologies (BCT) could be characterized as one of the most promising trends. We are currently witnessing a plethora of implementations basically in the economic sector with the creation of cryptocurrencies. The majority of researchers and practitioners argues that many benefits could be derived from the use of this innovative technology with the most significant one being the improved sense of trust to BCT applications. At the same time governments pursue amplified trust from their citizens and BCT is gaining momentum since it addresses this of utmost importance problem based on its unique characteristics. More and more governments realize the advances of this technology and participate in pilot applications in different vertical governmental sectors. Even though there are several implementations in the Government sector, there is no comprehensive study towards the analysis of the major characteristics of these developments. This paper moves towards the fulfilment of this gap conducting a thorough analysis of e-Government pilot applications of BCT in a European level. Furthermore, this study discusses the key benefits and main barriers coming from the application of this technology in different domains with BCT experts.
In this research paper, blockchain-based trust management model is proposed to enhance trust relationship among beacon nodes and to eradicate malicious nodes in Wireless Sensor Networks (WSNs). This composite trust evaluation involves behavioral-based trust as well as data-based trust. Various metrics such as closeness, honesty, intimacy and frequency of interaction are taken into account to compute behavioral-based trust of beacon nodes. Further, the composite (behavior and data) trust value of each beacon nodes is broadcast to Base Stations (BS) to generate a blockchain of trust values. Subsequently, the management model discards the beacon node with least trust value and that ensures reliability and consistency of localization in WSNs. The simulated results of the proposed algorithm are compared with the existing ones in terms of detection accuracy, False Positive Rate (FPR) and False Negative Rate (FNR) and Average Energy Consumption (AEC).
There are some registry agreements that may be appropriate for the Internet of Things (IoT), including Bitcoin, Hyperledger Fabric and IOTA. This article presents quickly and examines them in terms of the progress of Internet applications. Block-dependent IoT applications can consolidate the chain's rationale (smart contracts) and front-end, portable or front-end web applications. We present three possible designs for BC IoT front-end applications. They vary depending on the Bitcoin block chain customer (neighborhood gadget, remote server) and the key location needed to manage active exchanges. The vital requirements of these projects, which use Bitcoin to organize constructive exchanges, are the volumes of information, the area and time of the complete block and block block, and the entry of the Bitcoin store. The implications of these surveys show that it is unlikely that a full Bitcoin distributor will continue to operate reliably with a mandatory IoT gadget. Then, designing with remote Bitcoin customers is, in all respects, a suitable methodology in which there are two minor alternatives and vary in key storage / management. Similarly, we recommend using the design with a unique match between the IoT gadget and the remote blockchain client to reduce system activity and improve security. We hope you also have the ability to operate with versatile verses with low control and low productivity. Our review eliminates the contradictions between synthesis methodologies, but the final choice for a particular registration agreement and the original technique completely depends on the proposed use case.
This paper presents a blockchain enabled secure data acquisition scheme utilizing an unmanned aerial vehicle (UAV) swarm where data are collected from the Internet of Things (IoT) devices and subsequently, forwarded to the nearest server through the UAV swarm. Before initiating data acquisition, the UAV swarm shares a shared key with the IoT devices in order to maintain communications. However, prior to transmitting data, the IoT devices encrypt the data and forward it to the UAV swarm. Upon receiving the data, the UAV swarm implements a two-phase validation utilizing the π-hash bloom filter and the digital signature algorithm to validate the sender; in addition, prior to forwarding data to the nearest server, it performs encryption. However, before adding data in blockchain, consent from all validators is required. Finally, the data are stored in blockchain with the approval of validators. A security analysis is performed to demonstrate the feasibility of the proposed scheme. Finally, the effectiveness of the proposed scheme is manifested through the implementation and simulation. The security analysis and the performance results show that UAV assist the IoT devices both in terms of connectivity and energy consumption, and provides security against the threats mentioned in the paper.
The mining process in public blockchains with the Nakamoto consensus protocol requires solving a computational puzzle, i.e., proof-of-work, which is resource expensive to implement in lightweight devices with limited computing resources and energy. Thus, renting mining service from cloud providers becomes a reasonable solution, which is called cloud mining. This enables users who want to mine, i.e., miners, to purchase and lease an amount of hashing power from the cloud/edge providers without any hassle of managing the infrastructure. In this paper, we study the interactions among the cloud/edge providers and miners in blockchain using a multi-leader multi-follower game-theoretic approach, in order to support proof-of-work based blockchains application. Due to the inherent complexity of the formulated game, we employ the Alternating Direction Method of Multipliers (ADMM) algorithm to investigate the optimum solution. Utilizing the decomposition characteristics and fast convergence of ADMM, we obtain the optimum results in a distributed manner. Simulation results demonstrate that with the proposed solutions, the optimization of the utilities of miners and the profits of providers can be jointly achieved.
The relative low level of smart home system (SHS) device information security may threaten the privacy of users. In this paper, we propose a homomorphic consortium blockchain for SHS sensitive data privacy preserving (HCB-SDPP), which is based on the traditional smart home system. We add verification services, which are composed of verification nodes, to our model to verify working nodes and transactions in SHS. In order to record the SHS device information transaction, we propose a new block data structure based on homomorphic encryption (HEBDS). Using the HCB-SDPP model, we design an encrypted algorithm based on Paillier encrypted for privacy protection. To verify the validity of the HCB-SDPP model, we firstly encrypt sensitive data of all gateway peers and upload them to the consortium blockchain. Then, we validate the security of sensitive data after homomorphic encryption processing. In the experiment, we also design attack experiments to attack different types of peers on the consortium blockchain in the HCB-SDPP model. If these nodes are insecure, the influence on the whole model will be analyzed. The simulation result shows that the HCB-SDPP model can protect customer privacy more effectively than SHS.
A Potential solution for solving forensic is the use of blockchain in software-defined networking (SDN). The blockchain is a distributed peer-to-peer network that can be utilized on SDN-based Internet of Things (IoT) environments for security provisioning. Hence, to meet some challenges in digital forensics such as data integrity, evidence deletion or alteration, blockchain is used. However, some problems such as poor attack detection and slow processing existed in previous works. To address these issues, an efficient forensics architecture is proposed in SDN-IoT that establishes the Chain of Custody (CoC) in blockchain technology. The proposed SDN-based IoT architecture is initiated with flow table rules on switches for the three different traffics Voice over Internet Protocol (VoIP), File Transfer Protocol (FTP), and Hyper Text Transfer Protocol (HTTP). In this work, overloaded switches migrate the packets to nearby switches to balance the packet flow. The packets disobeying flow rules will be discarded by switches. The blockchain-based distributed controller in this forensic architecture is designed to use the Linear Homomorphic Signature (LHS) algorithm for validating users. Each controller is fed with a classifier that uses the Neuro Multi-fuzzy to classify malicious packets based on packet features. The logs of events are used and stored on the blockchain in the proposed SDN-IoT architecture. We evaluated the performance of our forensic architecture and compared it to the existing model using various performance measures. Our evaluation results demonstrate performance improvement by reducing delay, response time and processing time, increasing throughput, accuracy, and security parameters.
Chao Qiu, Haipeng Yao, F. Richard Yu, Chunxiao Jiang · 5 authors
Recently, the emergence of blockchain has stirred great interests in the field of Internet of Things (IoT). However, numerous non-trivial problems in the current blockchain system prevent it from being used as a generic platform for large-scale services and applications in IoT. One notable drawback is the scalability problem. Lots of projects and researches have been done to solve this problem. Nevertheless, they do not consider different users' conditions, only using a single consensus protocol as the best fit one, as well as the IoT system is heavily constrained by computing and networking resources. In this article, we study a permissioned blockchain-based IoT architecture. In order to improve the scalability of the blockchain system and meet the needs of different users, we propose a service-oriented permissioned blockchain, where different consensus protocols are launched according to users' quality of service (QoS) requirements. Specially, we quantify a few popular consensus protocols. Additionally, we select block producers, which need a great number of computation resources, as well as dynamically allocate network bandwidth to the blockchain system. We formulate consensus protocols selection, block producers selection, and network bandwidth allocation as a joint optimization problem. We then use a dueling deep reinforcement learning approach to solve the problem. Simulation results demonstrate the effectiveness of our proposed scheme.
Riya Thakore, Rajkumar Vaghashiya, Chintan Patel, Nishant Doshi
Blockchain and Internet of Things (IoT), two of the top disruptive technologies, are already on their way of reshaping our future of the digital world, characterized by a drastic change in the current network architecture. Incorporation of IoT has brought the objects around us to life, making them ‘smart’ and capable of communicating with each other, thereby amassing massive data by constantly capturing the physical world, for analyzing and performing some intelligent action based on the same. It has made possible our dream of seamless integration of the digital and physical worlds, changing the very essence of our perception of the physical world. But, the problem with current IoT solutions is its need for a centralized party (like a cloud server), for connecting and communicating via the Internet, which poses a great threat to the privacy and security of the vast sensitive data being generated, whereas the original architecture design demands for a decentralized one like distributed or peer-to- peer (P2P) system. So, blockchain comes into play, providing a secure and trustworthy way of sharing information using a distributed/P2P model, to achieve transparency, security, privacy, auditability, resilience, access authentication, data immutability, etc. In this paper, we will look into how to combine both the technologies to overcome their shortcomings and obtain a greater gain from their benefits. We have presented a comprehensive survey on the basics of both the technologies, and the blockchain-based IoT (BIoT) architecture, protocols and functioning, and few examples BIoT applications that can be built on top of it, and comparison.
Open access
Blockchain Technology Applications and Security
IoT and Edge/Fog Computing
Advanced Steganography and Watermarking Techniques
The blockchain is a distributed ledger managed by a peer to peer network that stores all transaction records. The distributed ledger technology offers new possibilities, promising to ensure that data is secure, decentralized and incomparable. In the Architecture, Engineering, Construction (AEC) industry, Building Information Modeling (BIM) has quickly become a standard platform where all parties work together on a single and shared model for collaboration. The issues of Supply Chain Management (SCM) within BIM can be identified in BIM maturity level, based on PAS1193 that developed through Common Data Environment (CDE). The research strategy is to make model and simulation of SCM using BIM and create CDE to become decentralized and integrate the blockchain technology. The smart contract system validates every material and configuration of components within the model from the design stage until the operation stage. Traceability and auditability through an immutable historic eventually be more visible and allow real-time tracking of a material to a construction site providing a history from the origin.
Deepak Puthal, Saraju P. Mohanty, Priyadarsi Nanda, Elias Kougianos · 5 authors
Resource -constrained distributed systems such as the Internet of Things (IoT), edge computing and fog computing are deployed for real-time monitoring and evaluation. Current security solutions are problematic when there is a centralized controlling entity. The blockchain provides decentralized security architectures using proof-of-work (PoW). Proof-of-work is an expensive process for IoT and edge computing due to the deployment of resource-constrained devices. This paper presents a novel consensus algorithm called Proof-of-Authentication (PoAh) to replace Proof-of-Work and introduce authentication in such environments to make the blockchain application-specific. This paper implemented the Proof-of-Authentication system to evaluate its sustainability and applicability for the IoT and edge computing. The evaluation process is conducted in both simulation and real-time testbeds to evaluate performance. Finally, the process of Proof-of-Authentication and its integration with blockchain in resource-constrained distributed systems is discussed. Our proposed PoAh, while running in limited computer resources (e.g. single-board computing devices like the Raspberry Pi) has a latency in the order of 3 secs.
This paper attempts to solve the security problems in communication, consensus-making and authentication of nodes in the Internet of vehicles (IoV) for intelligent transport. Considering the defects of the central node and service complexity in the IoV, the blockchain was integrated with the IoV to create a decentralized mechanism for communication and consensus-making. In the architecture of the blockchain-based IoV, the Byzantine consensus algorithm based on time sequence and gossip protocol is used to complete information communication and consensus authentication, which not only ensures communication security, improves the consensus efficiency of nodes, but also improves the fault tolerance of the algorithm. The experimental results show that our algorithm outshined the traditional authentication method in information security and consensus efficiency of the IoV. The research findings provide a reference solution to the authentication problems in the IoV for intelligent transport.
Razi Iqbal, Talal Ashraf Butt, Muhammad Afzaal, Khaled Salah
The Internet of things is the next stage in the evolution of the Internet that is being materialized with the integration of billions of smart objects. The state-of-the-art communication technologies have enabled the previously isolated devices to become an active part of the Internet. This constant connectivity opens new avenues for novel applications such as the realization of social Internet of things and its subdomain the social Internet of vehicles. Socializing requires sharing of information that entails trust, especially in an open and broad social environment. This article highlights the key factors involved in conceptualizing an efficient trust model for social Internet of vehicles. Furthermore, it focuses on the unique challenges involved in designing the trust models for social Internet of vehicles. Several trust models exist in literature; however, most of the existing trust models are specific to their domains, for example, Internet of things, social Internet of things, or general vehicular networks. This article presents a brief review of the trust models that have the potential to be implemented in Social Internet of vehicles. Finally, the authors present an overview of how trending concepts and emerging technologies like blockchain and fog computing can assist in developing a trust-based social Internet of vehicles model for high-efficiency, decentralized architecture and dynamic nature of vehicular networks.
Khoula Al Harthy, Fatma Al Shuhaimi, Khalid Khalifa Juma Al Ismaily
The Blockchain is a process which divide the data into blocks which are secured through unique cryptography algorithms to ensure privacy and security. The blocks are connected to each other in mesh topology which create a chain. Blockchain is start to be utilized through different domain such as banking, government, defense and educations. Today the higher education's institutions are grants to run campuses in different cities and different countries. Hence, securing the data transactions such as student profiles and certifications is considering significant concerns for security professions. Hence, this research is about highlighting the studies which cover the possibility of adopting Blockchain in education institutions. The concluded recommendation will be generated based on investigations running in the higher education field.
Please cite this article. Tanweer Alam. "IoT-Fog: A Communication Framework using Blockchain in the Internet of Things.", International Journal of Recent Technology and Engineering (IJRTE). Vol. 7(6), 2019. AbstractThe fog computing is the emerging technology to compute, store, control and connecting smart devices with each other using cloud computing. The Internet of Things (IoT) is an architecture of uniquely identified interrelated physical things, these physical things are able to communicate with each other and can transmit and receive information. This research presents a framework of the combination of the Internet of Things (IoT) and Fog computing. The blockchain is also the emerging technology that provides a hyper, distributed, public, authentic ledger to record the transactions. Blockchains technology is a secured technology that can be a boon for the next generation computing. The combination of fog, blockchains, and IoT creates a new opportunity in this area. In this research, the author presents a middleware framework based on the blockchain, fog, and IoT. The framework is implemented and tested. The results are found positive. Keywords: Internet of Things (IoT), Fog Computing, Cloud Computing, Blockchains, Communication Security.