Machine learning and blockchain technologies for cybersecurity in connected vehicles
Future connected and autonomous vehicles (CAVs) must be secured against cyberattacks
for their everyday functions on the road so that safety of passengers and vehicles can be …
for their everyday functions on the road so that safety of passengers and vehicles can be …
Security issues in Internet of Vehicles (IoV): A comprehensive survey
Nowadays, connected vehicles have a major role in enhancing the driving experience.
Connected vehicles in the network share their knowledge with the help of the network …
Connected vehicles in the network share their knowledge with the help of the network …
A federated learning-based approach for improving intrusion detection in industrial internet of things networks
MM Rashid, SU Khan, F Eusufzai, MA Redwan… - Network, 2023 - mdpi.com
The Internet of Things (IoT) is a network of electrical devices that are connected to the
Internet wirelessly. This group of devices generates a large amount of data with information …
Internet wirelessly. This group of devices generates a large amount of data with information …
Federated learning-based misbehavior detection for the 5G-enabled Internet of Vehicles
The concept of federated learning (FL) is becoming increasingly popular as a method for
training collaborative models without loss the sensitive information. The term has become …
training collaborative models without loss the sensitive information. The term has become …
A novel chaos-based privacy-preserving deep learning model for cancer diagnosis
Early cancer identification is regarded as a challenging problem in cancer prevention for the
healthcare community. In addition, ensuring privacy-preserving healthcare data becomes …
healthcare community. In addition, ensuring privacy-preserving healthcare data becomes …
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) …
Review of cyberattack implementation, detection, and mitigation methods in cyber-physical systems
With the rapid proliferation of cyber-physical systems (CPSs) in various sectors, including
critical infrastructure, transportation, healthcare, and the energy industry, there is a pressing …
critical infrastructure, transportation, healthcare, and the energy industry, there is a pressing …
[HTML][HTML] A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks
The Internet of Things (IoT) is prone to malware assaults due to its simple installation and
autonomous operating qualities. IoT devices have become the most tempting targets of …
autonomous operating qualities. IoT devices have become the most tempting targets of …
[HTML][HTML] The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research
In today's world, it is vital to have strong cybersecurity measures in place. To combat the
ever-evolving threats, adopting advanced models like cybersecurity mesh is necessary to …
ever-evolving threats, adopting advanced models like cybersecurity mesh is necessary to …
FedMicro-IDA: A federated learning and microservices-based framework for IoT data analytics
Abstract The Internet of Things (IoT) has recently proliferated in both size and complexity.
Using multi-source and heterogeneous IoT data aids in providing efficient data analytics for …
Using multi-source and heterogeneous IoT data aids in providing efficient data analytics for …