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 work applies artificial intelligence( AI) to secure wireless dispatches of Connected Vehicles. Vehicular Ad- hoc Network( VANET) facilitates exchange of safety dispatches for collision avoidance, leading to tone- driving buses . An AI system continuously learns to compound its capability in sapient and feting its surroundings. similar capability plays a vital part in assessing the authenticity and integrity of safety dispatches for buses driven by computers. Falsification of cadence readings, disablement of boscage function, and other unauthorized controls by spoofed dispatches fitted into VANET crop as security pitfalls. Countermeasures must be considered at design stage, as opposed to afterthought patches, effectively againstcyber-attacks. still, current norms oversubscribe security measures by validating every communication circulating among Connected Vehicles, making VANET subject to denial- of- service( DoS) Attacks. This interdisciplinary exploration shows promising results by searching the pivot point to balance between communication authentication and DoS forestallment, making security measures practical for the real- world deployment of Connected Vehicles. Communication authentication adopts environment- Adaptive hand Verification strategy, applying AI pollutants to reduce both communication and calculation outflow. Combining OMNET, a data network simulator, and SUMO, a road business simulator, with modes, an open source frame for VANET simulation, the study evaluates AI pollutants comparatively under colorful attacking scripts. The results lead to an effective design choice of securing wireless dispatches for Connected Vehicles.
Keywords:
Adaptability to denial- of- service( DoS) attacks, artificial intelligence( AI) for stoked cognitive capability, Connected Vehicles, Vehicular Ad- hoc Network( VANET), position and shadowing, communication authentication, hand verification, wireless communication
Cite Article:
"Security in Wireless Communication of Connected Vehicles against attacks using Artificial Intelligence", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.f122-f131, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305529.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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