INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This paper explores the application of machine learning (ML) and blockchain technologies in enhancing cybersecurity for connected vehicles. With the proliferation of interconnected systems in modern automobiles, the risk of cyberattacks has intensified, necessitating robust security measures. ML algorithms offer the capability to detect anomalies, identify suspicious patterns, and predict potential threats, thereby bolstering the resilience of connected vehicle systems. Concurrently, blockchain technology provides secure data storage, transparent transaction records, and decentralized identity management, mitigating the risk of unauthorized access and data tampering. By integrating ML and blockchain, automotive stakeholders can proactively address cybersecurity challenges, safeguarding against emerging threats and ensuring the safety and reliability of connected vehicle operations.
Keywords:
blockchain, connected and autonomous vehicles, cybersecurity, federated learning, machine learning
Cite Article:
"Advancements in Cybersecurity for Connected Vehicles: Harnessing the Power of Machine Learning and Blockchain Technologies", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.d726-d731, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403397.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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