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  Published Paper Details:

  Paper Title

ANOMALY DETECTION IN AUTONOMOUS VEHICLE USING ML APPROACH

  Authors

  Atul B.Kathole,  Dr.Dinesh N.Chaudhari

  Keywords

Autonomous Vehicles, Cybersecurity, DDoS, Attack Simulation

  Abstract


The adaption of the Internet of Things has enabled people to bridge actual objects to the Internet and make people's lifestyles easier. Hackers are familiar with these real-world devices, which make users nervous rather than easy to live. Smart cars are one of the techniques that facilitate our lifestyles, but when an assailant utilizes its flaws, the drivers, as well as the public surrounding us, can suffer seriously. There have been incidents in past years that attackers have targeted Autonomous Vehicles (AVs) that have provided the car full power or network jamming, resulting in loss of knowledge. In this article, we introduce the analysis of a DDoS assault on a network of intelligent autonomous cars in a simulated world. By using our proposed system able to detect the attack in the network to prevent the network issue.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTE020013

  Paper ID - 211141

  Page Number(s) - 78-83

  Pubished in - Volume 9 | Issue 8 | August 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Atul B.Kathole,  Dr.Dinesh N.Chaudhari,   "ANOMALY DETECTION IN AUTONOMOUS VEHICLE USING ML APPROACH", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 8, pp.78-83, August 2021, Available at :http://www.ijcrt.org/papers/IJCRTE020013.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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