Deep learning in the fast lane: A survey on advanced intrusion detection systems for intelligent vehicle networks
The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …
Demystifying in-vehicle intrusion detection systems: A survey of surveys and a meta-taxonomy
Breaches in the cyberspace due to cyber-physical attacks can harm the physical space, and
any type of vehicle is an alluring target for wrongdoers for an assortment of reasons …
any type of vehicle is an alluring target for wrongdoers for an assortment of reasons …
Deep transfer learning based intrusion detection system for electric vehicular networks
The Controller Area Network (CAN) bus works as an important protocol in the real-time In-
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …
As a result, there is an immediate need to protect these networks from a variety of threats …
Transfer-learning-based intrusion detection framework in IoT networks
Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day
attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion …
attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion …
Transforming transportation: Safe and secure vehicular communication and anomaly detection with intelligent cyber–physical system and deep learning
Intelligent Cyber-Physical Transportation Systems (ICTS) rely deeply on data exchange
between moving vehicles and fixed infrastructure. While exchanging data between vehicles …
between moving vehicles and fixed infrastructure. While exchanging data between vehicles …
[PDF][PDF] Deep transfer learning applications in intrusion detection systems: A comprehensive review
Globally, the external Internet is increasingly being connected to the contemporary industrial
control system. As a result, there is an immediate need to protect the network from several …
control system. As a result, there is an immediate need to protect the network from several …
G-idcs: Graph-based intrusion detection and classification system for can protocol
SB Park, HJ Jo, DH Lee - IEEE Access, 2023 - ieeexplore.ieee.org
The security of in-vehicle networks has become an important issue as automobiles become
more connected and automated. In this paper, we propose a graph-based intrusion …
more connected and automated. In this paper, we propose a graph-based intrusion …
Detecting masquerade attacks in controller area networks using graph machine learning
Modern vehicles rely on a myriad of electronic control units (ECUs) interconnected via
controller area networks (CANs) for critical operations. Despite their ubiquitous use and …
controller area networks (CANs) for critical operations. Despite their ubiquitous use and …
Can-bert do it? controller area network intrusion detection system based on bert language model
Due to the rising number of sophisticated customer functionalities, electronic control units
(ECUs) are increasingly integrated into modern automotive systems. However, the high …
(ECUs) are increasingly integrated into modern automotive systems. However, the high …