Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey

PLS Jayalaxmi, R Saha, G Kumar, M Conti… - IEEE Access, 2022 - ieeexplore.ieee.org
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …

[HTML][HTML] Classification and explanation for intrusion detection system based on ensemble trees and SHAP method

TTH Le, H Kim, H Kang, H Kim - Sensors, 2022 - mdpi.com
In recent years, many methods for intrusion detection systems (IDS) have been designed
and developed in the research community, which have achieved a perfect detection rate …

[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JII Araya, H Rifà-Pous - Internet of Things, 2023 - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

CNN-LSTM: hybrid deep neural network for network intrusion detection system

A Halbouni, TS Gunawan, MH Habaebi… - IEEE …, 2022 - ieeexplore.ieee.org
Network security becomes indispensable to our daily interactions and networks. As attackers
continue to develop new types of attacks and the size of networks continues to grow, the …

[HTML][HTML] Cyber security for detecting distributed denial of service attacks in agriculture 4.0: Deep learning model

THH Aldhyani, H Alkahtani - Mathematics, 2023 - mdpi.com
Attackers are increasingly targeting Internet of Things (IoT) networks, which connect
industrial devices to the Internet. To construct network intrusion detection systems (NIDSs) …

[HTML][HTML] DeepFire: A novel dataset and deep transfer learning benchmark for forest fire detection

A Khan, B Hassan, S Khan, R Ahmed… - Mobile Information …, 2022 - hindawi.com
Forest fires pose a potential threat to the ecological and environmental systems and natural
resources, impacting human lives. However, automated surveillance system for early forest …

[HTML][HTML] Artificial intelligence algorithms for malware detection in android-operated mobile devices

H Alkahtani, THH Aldhyani - Sensors, 2022 - mdpi.com
With the rapid expansion of the use of smartphone devices, malicious attacks against
Android mobile devices have increased. The Android system adopted a wide range of …

Machine learning and the Internet of Things security: Solutions and open challenges

U Farooq, N Tariq, M Asim, T Baker… - Journal of Parallel and …, 2022 - Elsevier
Abstract Internet of Things (IoT) is a pervasively-used technology for the last few years. IoT
technologies are also responsible for intensifying various everyday smart applications …

[HTML][HTML] Enhancing intrusion detection systems for IoT and cloud environments using a growth optimizer algorithm and conventional neural networks

A Fatani, A Dahou, M Abd Elaziz, MAA Al-Qaness, S Lu… - Sensors, 2023 - mdpi.com
Intrusion detection systems (IDS) play a crucial role in securing networks and identifying
malicious activity. This is a critical problem in cyber security. In recent years, metaheuristic …

[HTML][HTML] Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia

MH Al-Adhaileh, THH Aldhyani - PeerJ Computer Science, 2022 - peerj.com
Predicting crop yields is a critical issue in agricultural production optimization and
intensification research. Accurate foresights of natural circumstances a year in advance can …