Review of artificial intelligence for enhancing intrusion detection in the internet of things
M Saied, S Guirguis, M Madbouly - Engineering Applications of Artificial …, 2024 - Elsevier
Internet of Things is shaping the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …
expansion of adopting IoT-based approaches, their security represents a growing challenge …
A survey of security in uavs and fanets: Issues, threats, analysis of attacks, and solutions
Thanks to the rapidly developing technology, unmanned aerial vehicles (UAVs) are able to
complete a number of tasks in cooperation with each other without need for human …
complete a number of tasks in cooperation with each other without need for human …
Comprehensive systematic review of intelligent approaches in UAV-based intrusion detection, blockchain, and network security
Abstract Unmanned Aerial Vehicles (UAVs) have evolved into a pivotal component of
electronic devices deployed across a diverse array of sectors and industries in recent years …
electronic devices deployed across a diverse array of sectors and industries in recent years …
DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …
security threats in internet-enabled networks, with many internet of things (IoT) devices …
PDF malware detection based on optimizable decision trees
Portable document format (PDF) files are one of the most universally used file types. This
has incentivized hackers to develop methods to use these normally innocent PDF files to …
has incentivized hackers to develop methods to use these normally innocent PDF files to …
Security-Informed safety analysis of autonomous transport systems considering ai-powered cyberattacks and protection
The entropy-oriented approach called security-or cybersecurity-informed safety (SIS or
CSIS, respectively) is discussed and developed in order to analyse and evaluate the safety …
CSIS, respectively) is discussed and developed in order to analyse and evaluate the safety …
An analysis of artificial intelligence techniques in surveillance video anomaly detection: A comprehensive survey
Surveillance cameras have recently been utilized to provide physical security services
globally in diverse private and public spaces. The number of cameras has been increasing …
globally in diverse private and public spaces. The number of cameras has been increasing …
[HTML][HTML] Sea turtle foraging algorithm with hybrid deep learning-based intrusion detection for the internet of drones environment
Abstract The Internet of Drones (IoD) allows for coordinated control of airspace for
Unmanned Aerial Vehicles (UAVs), also known as drones. The decreasing costs of …
Unmanned Aerial Vehicles (UAVs), also known as drones. The decreasing costs of …
Cybersecurity in Electric and Flying Vehicles: Threats, Challenges, AI Solutions & Future Directions
H Alqahtani, G Kumar - ACM Computing Surveys, 2024 - dl.acm.org
Electric and Flying Vehicles (EnFVs) represent a transformative shift in transportation,
promising enhanced efficiency and reduced environmental impact. However, their …
promising enhanced efficiency and reduced environmental impact. However, their …
Crsf: An intrusion detection framework for industrial internet of things based on pretrained cnn2d-rnn and svm
S Li, G Chai, Y Wang, G Zhou, Z Li, D Yu, R Gao - IEEE Access, 2023 - ieeexplore.ieee.org
The traditional support vector machine (SVM) requires manual feature extraction to improve
classification performance and relies on the expressive power of manually extracted …
classification performance and relies on the expressive power of manually extracted …