AI-Powered Blockchain - A Decentralized Secure Multiparty Computation Protocol for IoV
Abstract
The rapid advancements in autonomous technologies have paved way for vehicular networks. In particular, Vehicular Ad-hoc Network (VANET) forms the basis of the future of Intelligent Transportation System (ITS). ITS represents the communication among vehicles by acquiring and sharing the data. Though congestion control is enhanced by Internet of Vehicles (IoV), there are various security criteria where entire communication can lead to many security and privacy challenges. A blockchain can be deployed to provide the IoV devices with the necessary authentication and security feature for the transfer of data. Blockchain based IoV mechanism eliminates the single source of failure and remains secure at base despite having strong security, the higher level layers and applications are susceptible to attacks. Artificial Intelligence (AI) has the potential to overcome several vulnerabilities of current blockchain technology. In this paper, we propose an AI-Powered Blockchain which provides auto coding feature for the smart contracts making it an intelligent contract. Moreover, it speeds up the transaction verification and optimises energy consumption. The results show that intelligent contracts provide higher security compared to smart contracts considering range of different scenarios.
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Study [113] introduced an AI-powered blockchain framework that combined SMPC with advanced cryptographic techniques to protect the privacy of vehicular data in ML applications.
“For instance, the study [113] introduced an AI-powered blockchain framework that combined SMPC with advanced cryptographic techniques to protect the privacy of vehicular data in ML applications.”
From Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction (2025) · cites this paper as [113]
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- Authors
- Raja, G., Manaswini, Y., Vivekanandan, G. D., Sampath, H., Dev, K., & Bashir, A. K.
- Affiliations
- Anna University, Chennai (IN)
- Trinity College Dublin (IE)
- Manchester Metropolitan University (GB)
- Venue
- IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
- Publisher
- IEEE
- Published
- 2020-07
- Pages
- 865-870
- OpenAlex
- W3048560307
- Cited by
- 76
- References
- 18
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 14 · 2023: 18 · 2022: 22 · 2021: 15 · 2020: 1
- FWCI
- 10.62
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (publishedVersion)
- e-space (Manchester Metropolitan University) (acceptedVersion)
- Funders
- Ministry of Electronics and Information technology
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, Internet of Vehicles, vehicular ad hoc networks, secure multi-party computation, decentralized security, smart contracts, artificial intelligence, VANET security, privacy, transaction verification, energy optimization, autonomous vehicles, intelligent transportation systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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