A Systematic Mapping Study on Intrusion Response Systems

A Rezapour, M GhasemiGol, D Takabi - IEEE Access, 2024 - ieeexplore.ieee.org
With the increasing frequency and sophistication of network attacks, network administrators
are facing tremendous challenges in making fast and optimum decisions during critical …

Adversarial Attacks on Intrusion Detection Systems in In-Vehicle Networks of Connected and Autonomous Vehicles

F Aloraini, A Javed, O Rana - Sensors, 2024 - mdpi.com
Rapid advancements in connected and autonomous vehicles (CAVs) are fueled by
breakthroughs in machine learning, yet they encounter significant risks from adversarial …

Advanced IDPS Architecture for Connected and Autonomous Vehicles

SK Valappil, L Vogel, M Hamad… - 2024 IEEE Intelligent …, 2024 - ieeexplore.ieee.org
Highly connected and automated driving technologies have ushered digital transformation
and flexibility to modern cars. However, the vehicle's attack surface has significantly …

CAVeCTIR: Matching Cyber Threat Intelligence Reports on Connected and Autonomous Vehicles Using Machine Learning

GE Raptis, C Katsini, C Alexakos, A Kalogeras… - Applied Sciences, 2022 - mdpi.com
Connected and automated vehicles (CAVs) are getting a lot of attention these days as their
technology becomes more mature and they benefit from the Internet-of-Vehicles (IoV) …

Security Challenges in Autonomous Systems Design

M Hamad, S Steinhorst - arXiv preprint arXiv:2312.00018, 2023 - arxiv.org
Autonomous systems are emerging in many application domains. With the recent
advancements in artificial intelligence and machine learning, sensor technology, perception …

Towards Automated Matching of Cyber Threat Intelligence Reports based on Cluster Analysis in an Internet-of-Vehicles Environment

GE Raptis, C Katsini, C Alexakos - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Connected and automated vehicles are a transformative technology that is getting closer to
maturity and offers many benefits to the Internet-of-Vehicles ecosystem. Considering their …

REACT: Autonomous Intrusion Response System for Intelligent Vehicles

M Hamad, A Finkenzeller, M Kühr, A Roberts… - arXiv preprint arXiv …, 2024 - arxiv.org
Autonomous and connected vehicles are rapidly evolving, integrating numerous
technologies and software. This progress, however, has made them appealing targets for …

[PDF][PDF] A multilayer secure framework for vehicular systems

M Hamad - 2020 - leopard.tu-braunschweig.de
In recent years, significant developments were introduced within the vehicular domain,
evolving the vehicles to become a network of many embedded systems distributed …

Intrusion Response System for In-Vehicle Networks: Uncertainty-Aware Deep Reinforcement Learning-based Approach

HJ Yoon, D Soon, TJ Moore, S Yoon… - MILCOM 2024-2024 …, 2024 - ieeexplore.ieee.org
Modern vehicles use the Controller Area Network (CAN) bus system to manage
communication between electronic control units (ECUs). The CAN bus lacks authentication …

Design and Implementation of an Efficient Intrusion Response System for 5G RAN Baseband Units

M Ghazzawi, A Imran - 2023 - diva-portal.org
Abstract The 5G Radio Access Network (RAN) is a critical system that must be secured
against potential attacks, particularly its Base-Band Unit (BBU), which is a common target for …