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 …
Design and development of RNN anomaly detection model for IoT networks
I Ullah, QH Mahmoud - IEEE Access, 2022 - ieeexplore.ieee.org
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
Machine-learning-based darknet traffic detection system for IoT applications
The massive modern technical revolution in electronics, cognitive computing, and sensing
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
ELBA-IoT: An ensemble learning model for botnet attack detection in IoT networks
Q Abu Al-Haija, M Al-Dala'ien - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Due to the prompt expansion and development of intelligent systems and autonomous,
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …
Towards an efficient model for network intrusion detection system (IDS): systematic literature review
OH Abdulganiyu, TA Tchakoucht, YK Saheed - Wireless Networks, 2024 - Springer
With the recent rise in internet usage, the volume of crucial, private, and confidential data
traveling online has increased. Attackers have made attempts to break into the network due …
traveling online has increased. Attackers have made attempts to break into the network due …
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 …
An intrusion detection and classification system for IoT traffic with improved data engineering
Nowadays, the Internet of Things (IoT) devices and applications have rapidly expanded
worldwide due to their benefits in improving the business environment, industrial …
worldwide due to their benefits in improving the business environment, industrial …
[HTML][HTML] Cost-effective detection system of cross-site scripting attacks using hybrid learning approach
QA Al-Haija - Results in Engineering, 2023 - Elsevier
Abstract Cross-Site Scripting (XSS) attacks inject malicious code payloads into web
application logs, triggering stored cross-site scripting execution when accessing the view …
application logs, triggering stored cross-site scripting execution when accessing the view …
Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree
Billions of gadgets are already online, making the IoT an essential aspect of daily life.
However, the interconnected nature of IoT devices also leaves them open to cyber threats …
However, the interconnected nature of IoT devices also leaves them open to cyber threats …
Machine learning benchmarking for secured iot smart systems
Smartness and IoT along with machine learning (ML) lead the research directions
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …