[HTML][HTML] Autonomous driving architectures: insights of machine learning and deep learning algorithms

MR Bachute, JM Subhedar - Machine Learning with Applications, 2021 - Elsevier
Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …

Secure operations of connected and autonomous vehicles

J Han, Z Ju, X Chen, M Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With features of collaborative interaction and autonomous decision-making, connected and
autonomous vehicles (CAVs) offer a viable solution for a sustainable and efficient future of …

Chatbot design approaches for fashion E-commerce: an interdisciplinary review

A Landim, AM Pereira, T Vieira… - … Journal of Fashion …, 2022 - Taylor & Francis
Chatbots can bring innovation in online assistance and communication with customers. Due
to the growth of e-commerce, fashion brands have been adopting chatbots to provide …

Formal methods and validation techniques for ensuring automotive systems security

M Krichen - Information, 2023 - mdpi.com
The increasing complexity and connectivity of automotive systems have raised concerns
about their vulnerability to security breaches. As a result, the integration of formal methods …

A new approach to web application security: Utilizing gpt language models for source code inspection

Z Szabó, V Bilicki - Future Internet, 2023 - mdpi.com
Due to the proliferation of large language models (LLMs) and their widespread use in
applications such as ChatGPT, there has been a significant increase in interest in AI over the …

Deep learning hybridization for improved malware detection in smart Internet of Things

AA Almazroi, N Ayub - Scientific Reports, 2024 - nature.com
The rapid expansion of AI-enabled Internet of Things (IoT) devices presents significant
security challenges, impacting both privacy and organizational resources. The dynamic …

Malware detection based on graph attention networks for intelligent transportation systems

C Catal, H Gunduz, A Ozcan - Electronics, 2021 - mdpi.com
Intelligent Transportation Systems (ITS) aim to make transportation smarter, safer, reliable,
and environmentally friendly without detrimentally affecting the service quality. ITS can face …

Machine learning-based adaptive genetic algorithm for android malware detection in auto-driving vehicles

L Hammood, İA Doğru, K Kılıç - Applied Sciences, 2023 - mdpi.com
The growing trend toward vehicles being connected to various unidentified devices, such as
other vehicles or infrastructure, increases the possibility of external attacks on “vehicle …

PIER: cyber-resilient risk assessment model for connected and autonomous vehicles

S Park, H Park - Wireless Networks, 2024 - Springer
As more vehicles are being connected to the Internet and equipped with autonomous driving
features, more robust safety and security measures are required for connected and …

Hierarchical anomaly detection model for in-vehicle networks using machine learning algorithms

S Park, JY Choi - Sensors, 2020 - mdpi.com
The communication and connectivity functions of vehicles increase their vulnerability to
hackers. The unintended failure and malfunction of in-vehicle systems caused by external …