A lightweight cross-layer intrusion detection system on jamming, spoofing, and mixed attacks in vehicular communication

M Fathi, S naeim Sobhani - 2023 - researchsquare.com
A vehicular ad-hoc network (VANET) is among the communication networks classified as a
subset of the Internet of things (IoT). In fact, it is considered as an effective solution to …

Application of Quantum Computing in Reliability Analysis

M Yazdi - Advances in Computational Mathematics for Industrial …, 2024 - Springer
The advent of quantum computing, capitalizing on quantum–mechanical phenomena like
superposition and entanglement, promises a paradigm shift in computational capabilities. As …

Misbehavior detection in connected vehicles using BurST-ADMA dataset

GO Anyanwu, CI Nwakanma, JH Kim… - … on Information and …, 2022 - ieeexplore.ieee.org
The reliability and security of information within and between connected vehicles is now a
burning research issue. Connected vehicle security is of utmost importance to military, civil …

Role of VANETs in Machine Learning and Deep Learning

P Abi Singh, V Kamboj, R Kaur - 2023 6th International …, 2023 - ieeexplore.ieee.org
Machine learning and Deep Learning with transportation opened new avenues of research
by accessing to internet for agile conveyance, safety, efficiency, and comfort applications …

The Role of Artificial Intelligence on Market Performance: Evidence from Scientific Review

E Desta, C Amantie - Journal of Economics and …, 2024 - ojs.amhinternational.com
The study's primary purpose was to review studies on the role of artificial intelligence in
market performance. Artificial intelligence significantly impacts market performance by …

Identification and Counting of Blood Cells Using Machine Learning and Image Processing

MKH Mondal, M Chakraborty, MK Roy, J Patra… - … on Intelligent Informatics, 2022 - Springer
Doctors view the total number of leukocytes in a person's blood as a crucial sign of that
individual's general health. Historically, blood cell counting was performed manually using a …

AI-Based Effective Communication in Software-Defined VANET: A Study

A Haldorai, S Murugan, M Balakrishnan - Artificial Intelligence for …, 2024 - Springer
The frequency of roadside accidents is rising quickly along with the number of automobiles.
The driver's irresponsibility is to blame for the bulk of these collisions. The current …

Machine Learning for VRUs accidents prediction using V2X data

B Ribeiro, MJ Nicolau, A Santos - Proceedings of the 38th ACM/SIGAPP …, 2023 - dl.acm.org
Intelligent Transportation Systems (ITS) are systems that consist on an complex set of
technologies that are applied to road agents, aiming to provide a more efficient and safe …

[PDF][PDF] XSS filter evasion using reinforcement learning to assist cross-site scripting testing

B Mondal, A Banerjee, S Gupta - Int. J. Health Sci.(Qassim)., 2022 - srv15-bcrec.in
Machine learning and deep learning are widely utilized and highly effective in attack
classifiers. Little research has been undertaken on detecting and protecting cross-site …

A Hybrid Few-Shot Learning Based Intrusion Detection Method for Internet of Vehicles

Y Zhao, J Cui, M Liu - … Conference on Algorithms and Architectures for …, 2023 - Springer
With the rapid development of vehicle networks technologies, cyber security threats in the
Internet have gradually penetrated into the Internet of vehicles. In view of the risks and …