Secure AI and Blockchain-enabled Framework in Smart Vehicular Networks

Rabieinejad, Elnaz; Yazdinejad, Abbas; Dehghantanha, Ali; Parizi, Reza M.; Srivastava, Gautam

doi:10.1109/gcwkshps52748.2021.9682140

Cited by 11 publications

(5 citation statements)

References 26 publications

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“…The blockchain system uses the asymmetric cryptographic system through public key and private key pairs [38][39][40][41][42][43][44][45][46][47][48]. These key pairs are randomly generated pairs and are also one-way-based.…”

Section: Proposed Methodologymentioning

confidence: 99%

Distributed-Ledger-Based Blockchain Technology for Reliable Electronic Voting System with Statistical Analysis

Rupa

D²,

Gadekallu

et al. 2022

Electronics

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In today’s society, voting is crucial to choosing the representatives of the people. The current voting process is filled with a vast array of disputes and manipulations. The leader must be selected in a precise manner without any malpractices. In addition, the people and authorities are not happy with the election results and label them unpredictable. We offer a better solution to the current problems, such as tampering, non-residents voting outside of the polling place, quick results analysis, quick counting, and reduced use of staff and funds during the electoral franchise process. In this offer, blockchain technology is used to create the distributed application (dApp) framework that will be used for the proposed e-voting system. Additionally, it offers unique characteristics such as immutability, transparency, privacy, and reception freedom that reduce crimes involving the processing of sensitive data in the electoral process. Ganache, MetaMask, and specified dagger hashing algorithm are used to develop the dApp. A key strength of this paper is the statistical analysis of transactions on the blockchain. Moreover, it also provides security to voters’ identity and leads to immediate acceptable counting results with more accuracy.

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Section: Proposed Methodologymentioning

confidence: 99%

Distributed-Ledger-Based Blockchain Technology for Reliable Electronic Voting System with Statistical Analysis

Rupa

D²,

Gadekallu

et al. 2022

Electronics

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show abstract

“…The authors reviewed 60 articles in order to demonstrate challenges and accuracy estimation of using machine learning and the type of machine learning in cloud security [127]. The efficiency of facial recognition techniques in a cloud environment from data security has been analyzed in [128].…”

Section: Surveys On Ai-assisted Secure Cloudmentioning

confidence: 99%

Privacy-Preserving Cloud Computing: Ecosystem, Life Cycle, Layered Architecture and Future Roadmap

Ahmadi¹,

Salehfar²

2022

Preprint

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Privacy-Preserving Cloud Computing is an emerging technology with many applications in various fields. Cloud computing is important because it allows for scalability, adaptability, and improved security. Likewise, privacy in cloud computing is important because it ensures that the integrity of data stored on the cloud maintains intact. This survey paper on privacy-preserving cloud computing can help pave the way for future research in related areas. This paper helps to identify existing trends by establishing a layered architecture along with a life cycle and an ecosystem for privacy-preserving cloud systems in addition to identifying the existing trends in research on this area.

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“…Rabieinejad et al. [29] presented a deep learning and blockchain‐based framework by addressing the security and communication overheads in vehicular networks. A cluster‐based architecture is provided to establish a secure communication by identifying the abnormalities among vehicles.…”

Section: Related Workmentioning

confidence: 99%

A trust‐based mechanism for drones in smart cities

2022

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Smart cities equipped with intelligent devices can enhance the lifestyle and quality of humans by automatically and collaboratively acting as a sustainable resource to the ecosystem. In addition, the technological advancement can be further empowered by interconnecting various types of technologies, such as IoT, Artificial Intelligence, drones and robotics which will clearly improve the Quality of Services, energy efficiency and connectivity to the overall system. The integration of drones hovering over smart cities with the other devices in the smart city network brings a lot of benefits. However, it can also lead to various security and privacy concerns in the network. The aim of this article is to put forward a secure and safe smart city communication environment by proposing a trust establishment scheme for the ad hoc Unmanned Aerial Vehicles network. In which, malicious devices can be traced and blocked by analysing and evaluating their historical interactions within the system and calculating their trust values. A behaviour‐based and local trust value scheme is used to analyse the trust of each communicating device that is further associated with a blockchain distributed ledger. The proposed mechanism is measured over various networking and security metrics, including throughput, latency, accuracy and block updating compared to the existing state‐of‐the‐art solutions.

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Secure AI and Blockchain-enabled Framework in Smart Vehicular Networks

Cited by 11 publications

References 26 publications

Distributed-Ledger-Based Blockchain Technology for Reliable Electronic Voting System with Statistical Analysis

Distributed-Ledger-Based Blockchain Technology for Reliable Electronic Voting System with Statistical Analysis

Privacy-Preserving Cloud Computing: Ecosystem, Life Cycle, Layered Architecture and Future Roadmap

A trust‐based mechanism for drones in smart cities

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