Federated Learning with Blockchain Approach for Trust Management in IoV

Haddaji, Achref; Ayed, Samiha; Fourati, Lamia Chaari

doi:10.1007/978-3-030-99584-3_36

Cited by 10 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Blockchain-based smart contracts are ideal for establishing trust in the federated learning [156]. It is challenging to identify the model updates and malicious manipulations and blockchain-based consensus provides a decentralized approval process to ensure more robust federated learning with improved trust [157]. The distributed nature of blockchain is compatible with deploying the local workers as blockchain nodes and global aggregation through a consensus mechanism.…”

Section: ) Explainable Ai(xai)-based Trust Establishmentmentioning

confidence: 99%

The Role of Blockchain in Finance Beyond Cryptocurrency: Trust, Data Management, and Automation

Chen,

Wei,

Wang

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Blockchain has been a vibrant technology in the past decade, with a wide variety of applications across different industrial sectors. The concept of blockchain has been widely recognized as an enabler for cryptocurrency-based decentralized payments, with two major decentralized payment systems such as Bitcoin and Ethereum. However, the global acceptance of blockchain as a cryptocurrency sums up significant challenges that hinder the fast adaptation of cryptocurrency as a payment service enabler. In this survey, we explore the advantages of blockchain and its technical capabilities beyond cryptocurrency. We focus on the technical potential to ensure trust, data governance, and automation of the financial application domain utilizing the fundamental security features of blockchain, including consensus, digital signatures, and transparency. The significant subcomponents of trust, data management, and automation in banking and financial systems are also identified and discussed, including how blockchain and smart contracts can achieve the anticipated features of each subcomponent through their technical capabilities. In addition, we shed light on the position of blockchain-based applications in key application sectors of the banking and financing domain with a mapping of technical features with the application domains. Thereafter, the applicability of blockchain-based applications is evaluated with relevant regulatory definitions. Finally, we discuss open research challenges and potential future works with the blockchain in the domain of financial systems.

show abstract

Section: ) Explainable Ai(xai)-based Trust Establishmentmentioning

confidence: 99%

The Role of Blockchain in Finance Beyond Cryptocurrency: Trust, Data Management, and Automation

Chen,

Wei,

Wang

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Integration of the potential of Artificial Intelligence-enabled techniques in the trust management of VANETs brings more efficiency to the network. Federated Learning (FL) is a decentralized Machine Learning approach [98] that solves centralized training concerns. All network participants may contribute to the global model development without sharing data.…”

Section: A Federated Learning-based Solutionsmentioning

confidence: 99%

Trust Management in Vehicular Ad-Hoc Networks: Extensive Survey

et al. 2023

View full text Add to dashboard Cite

Over the past few decades, Intelligent Transportation System (ITS) has become a vital and extensive element of daily human life and activity. Vehicular Ad hoc Networks (VANETs) have become the most promising components of ITS, which promises to enhance transport efficiency, passenger safety, and comfort by exchanging traffic and infotainment information to intelligent vehicles. Moreover, VANETs have emerged with new paradigms (e.g., Cloud, SDN (Software-Defined Networking), Fog computing, Blockchain, and AI (Artificial Intelligence) techniques) to provide strategic and secure communications to increase their reliability. Therefore, efficient and robust mechanisms, such as trust management, are essential requirements in VANETs. This survey provides an extensive overview of the VANET and trust management's main concepts. After that, we briefly review existing surveys, followed by the significant challenges of security and trust in VANETs. Then, we identify, review, classify, summarize, and compare related approaches. Finally, we give some future research directions.

show abstract

“…Trust is multifaceted and may include trust between users when automatically disseminating information and the trustworthiness of the IoT concept itself, etc. [37,38] As IoT is decentralized, assessing its trustworthiness is very challenging. Therefore, minimizing the ambiguity of the service mode of IoV systems, clarifying the intention of information use, legally binding suppliers, and adopting the concept of privacy by design can improve the privacy security of users and promote establishment of the trust in IoV [39].…”

Section: Trust Management-based Iov Securitymentioning

confidence: 99%

IoT Security Review: A Case Study of IIoT, IoV, and Smart Home

Ma¹,

Shangguan²,

Zhang³

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The Internet of Things (IoT) acts as a tremendous network that is constructed by fusing diverse sensors. IoT can achieve the interconnection of individuals, things, and machines at any place and time and improve the function performance of network applications. However, the security of IoT has always been a major problem that may limit the application perspective of IoT technologies. Nowadays, industrial IOT (IIoT), Internet of vehicles (IoV), and smart home have become the three primary emerging perspectives of the current IoT studies, and it is necessary to systematically highlight the security analysis of these three types of scenarios. Hence, in this paper, guided by the three major IoT application scenarios, i.e., IIoT, IoV, and smart home, we sum up the development status of IoT security technologies, analyzed corresponding technical difficulties, and discussed several future outlook of challenges and development trends for the IoT technology.

show abstract

Federated Learning with Blockchain Approach for Trust Management in IoV

Cited by 10 publications

References 9 publications

The Role of Blockchain in Finance Beyond Cryptocurrency: Trust, Data Management, and Automation

The Role of Blockchain in Finance Beyond Cryptocurrency: Trust, Data Management, and Automation

Trust Management in Vehicular Ad-Hoc Networks: Extensive Survey

IoT Security Review: A Case Study of IIoT, IoV, and Smart Home

Contact Info

Product

Resources

About