Cover Image

Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Longari, Stefano, Cerracchio, Paolo, Carminati, Michele, Zanero, Stefano
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection
by: Digregorio, Gabriele, et al.
Published: (2025)

On the (In)Security of Loading Machine Learning Models
by: Digregorio, Gabriele, et al.
Published: (2025)

An Anomaly Detection System Based on Generative Classifiers for Controller Area Network
by: Zhao, Chunheng, et al.
Published: (2024)

TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems
by: Di Gennaro, Marco, et al.
Published: (2025)

GOLIATH: A Decentralized Framework for Data Collection in Intelligent Transportation Systems
by: Maffiola, Davide, et al.
Published: (2025)

Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
by: Bellante, Armando, et al.
Published: (2025)

Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection
by: Di Gennaro, Marco, et al.
Published: (2025)

Poster: FedBlockParadox -- A Framework for Simulating and Securing Decentralized Federated Learning
by: Digregorio, Gabriele, et al.
Published: (2025)

PackHero: A Scalable Graph-based Approach for Efficient Packer Identification
by: Di Gennaro, Marco, et al.
Published: (2025)

CyFence: Securing Cyber-Physical Controllers via Trusted Execution Environment
by: Longari, Stefano, et al.
Published: (2025)

How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World
by: Panebianco, Francesco, et al.
Published: (2025)

Model Predictive Control with adaptive resilience for Denial-of-Service Attacks mitigation on a Regulated Dam
by: Cestari, Raffaele Giuseppe, et al.
Published: (2024)

Deep Learning-based Embedded Intrusion Detection System for Automotive CAN
by: Khandelwal, Shashwat, et al.
Published: (2024)

The Illusion of Randomness: An Empirical Analysis of Address Space Layout Randomization Implementations
by: Binosi, Lorenzo, et al.
Published: (2024)

LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks
by: Panebianco, Francesco, et al.
Published: (2025)

Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
by: ElShehaby, Mohamed, et al.
Published: (2025)

AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN)
by: Guerra, Lorenzo, et al.
Published: (2024)

Real-Time Zero-Day Intrusion Detection System for Automotive Controller Area Network on FPGAs
by: Khandelwal, Shashwat, et al.
Published: (2024)

Robust Semi-Supervised Temporal Intrusion Detection for Adversarial Cloud Networks
by: Chattopadhyay, Anasuya, et al.
Published: (2026)

A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
by: Tafreshian, Benyamin, et al.
Published: (2025)

Diffusion-based Adversarial Purification for Intrusion Detection
by: Merzouk, Mohamed Amine, et al.
Published: (2024)

Adaptive Intrusion Detection System Leveraging Dynamic Neural Models with Adversarial Learning for 5G/6G Networks
by: Neha, et al.
Published: (2025)

CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
by: Fuhrman, Sean, et al.
Published: (2025)

Robust Intrusion Detection System with Explainable Artificial Intelligence
by: Paltun, Betül Güvenç, et al.
Published: (2025)

Flow Exporter Impact on Intelligent Intrusion Detection Systems
by: Pinto, Daniela, et al.
Published: (2024)

Tarallo: Evading Behavioral Malware Detectors in the Problem Space
by: Digregorio, Gabriele, et al.
Published: (2025)

Enhancing Adversarial Robustness in Network Intrusion Detection: A Layer-wise Adaptive Regularization Approach
by: Nasir, Hira, et al.
Published: (2026)

CANDoSA: A Hardware Performance Counter-Based Intrusion Detection System for DoS Attacks on Automotive CAN bus
by: Oberti, Franco, et al.
Published: (2025)

A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles
by: Uddin, Md Ashraf, et al.
Published: (2025)

Enhanced Intrusion Detection System for Multiclass Classification in UAV Networks
by: Menssouri, Safaa, et al.
Published: (2024)

PIDSMaker: Building and Evaluating Provenance-based Intrusion Detection Systems
by: Bilot, Tristan, et al.
Published: (2026)

Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN
by: Khandelwal, Shashwat, et al.
Published: (2024)

Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection Systems
by: Koukoulis, Ippokratis, et al.
Published: (2025)

Investigating Application of Deep Neural Networks in Intrusion Detection System Design
by: Jeje, Mofe O.
Published: (2025)

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network
by: Althunayyan, Muzun, et al.
Published: (2025)

Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis
by: Uddin, Md. Ashraf, et al.
Published: (2024)

Shift Detection and Adaptation for Network Intrusion Detection
by: Mousavipour, Ehssan, et al.
Published: (2025)

Adversarial training with restricted data manipulation
by: Benfield, David, et al.
Published: (2025)

Feature Selection for Network Intrusion Detection
by: Westphal, Charles, et al.
Published: (2024)

An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
by: Vitorino, João, et al.
Published: (2024)