Comparative research on network intrusion detection methods based on machine learning

C Zhang, D Jia, L Wang, W Wang, F Liu, A Yang - Computers & Security, 2022 - Elsevier
Network intrusion detection system is an essential part of network security research. It
detects intrusion behaviors through active defense technology and takes emergency …

Deep learning-based intrusion detection systems: a systematic review

J Lansky, S Ali, M Mohammadi, MK Majeed… - IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

A survey of attacks on controller area networks and corresponding countermeasures

HJ Jo, W Choi - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
The development of vehicle technologies such as connected and autonomous vehicle
environments provide drivers with functions for convenience and safety that are highly …

[HTML][HTML] Demystifying in-vehicle intrusion detection systems: A survey of surveys and a meta-taxonomy

G Karopoulos, G Kambourakis, E Chatzoglou… - Electronics, 2022 - mdpi.com
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 …

Security on in-vehicle communication protocols: Issues, challenges, and future research directions

A Martínez-Cruz, KA Ramírez-Gutiérrez… - Computer …, 2021 - Elsevier
The automotive industry has represented an important sector of industrial development
worldwide. With technology growth, vehicles have been equipped with various devices that …

Intrusion detection in the automotive domain: A comprehensive review

B Lampe, W Meng - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The automotive domain has realized amazing advancements in communication,
connectivity, and automation—and at a breakneck pace. Such advancements come with …

Security assessment of in-vehicle communication protocols

A Anwar, A Anwar, L Moukahal, M Zulkernine - Vehicular Communications, 2023 - Elsevier
As the automotive industry has progressed in recent years, in-vehicle networks have also
changed. In contrast to traditional vehicles, modern vehicles communicate through …

DFE: efficient IoT network intrusion detection using deep feature extraction

A Basati, MM Faghih - Neural Computing and Applications, 2022 - Springer
In recent years, the Internet of Things (IoT) has received a lot of attention. It has been used in
many applications such as the control industry, industrial plants, and medicine. In this …

GGNB: Graph-based Gaussian naive Bayes intrusion detection system for CAN bus

R Islam, MK Devnath, MD Samad… - Vehicular …, 2022 - Elsevier
The national highway traffic safety administration (NHTSA) identified cybersecurity of the
automobile systems are more critical than the security of other information systems …

TOW-IDS: intrusion detection system based on three overlapped wavelets for automotive ethernet

ML Han, BI Kwak, HK Kim - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
Devices that ensure vehicle and driver safety or provide services to drivers generate a
substantial amount of network traffic. The traffic is transmitted to the In-Vehicle Network (IVN) …