Machine learning solutions for mobile internet of things security: A literature review and research agenda
H Messabih, CA Kerrache… - Transactions on …, 2024 - Wiley Online Library
In recent years, the advancements in wireless technologies and sensor networks have
promoted the Mobile Internet of Things (MIoT) paradigm. However, the unique …
promoted the Mobile Internet of Things (MIoT) paradigm. However, the unique …
Research on adaptive 1DCNN network intrusion detection technology based on BSGM mixed sampling
The development of internet technology has brought us benefits, but at the same time, there
has been a surge in network attack incidents, posing a serious threat to network security. In …
has been a surge in network attack incidents, posing a serious threat to network security. In …
[HTML][HTML] Enhancing soil organic carbon prediction of LUCAS soil database using deep learning and deep feature selection
The main terrestrial carbon (C) fraction is soil organic carbon (SOC), which has a
considerable effect on climate change and greenhouse gas emissions through the …
considerable effect on climate change and greenhouse gas emissions through the …
Multi-view consistent generative adversarial network for enhancing intrusion detection with prevention systems in mobile ad hoc networks against security attacks
M Rajkumar, J Karthika - Computers & Security, 2025 - Elsevier
Abstract Improving security in Mobile Ad hoc Networks (MANETs) requires an effective
intrusion detection and prevention scheme that addresses some research issues, such as …
intrusion detection and prevention scheme that addresses some research issues, such as …
APSO-CNN-SE: An Adaptive Convolutional Neural Network Approach for IoT Intrusion Detection.
Y Ban, D Zhang, Q He, Q Shen - Computers, Materials & …, 2024 - search.ebscohost.com
The surge in connected devices and massive data aggregation has expanded the scale of
the Internet of Things (IoT) networks. The proliferation of unknown attacks and related risks …
the Internet of Things (IoT) networks. The proliferation of unknown attacks and related risks …
Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments
F Alserhani - Applied Artificial Intelligence, 2024 - Taylor & Francis
At present, encrypted data is the cornerstone of Internet communication, providing the
maximum degree of privacy and security protection for all transmitted data while shielding …
maximum degree of privacy and security protection for all transmitted data while shielding …
Exploring Machine learning algorithms for Malicious node detection using cluster based trust entropy
S Kanthimathi - IEEE Access, 2024 - ieeexplore.ieee.org
Machine learning has, over the decades, ushered in a dramatic transformation across a
range of sectors, including network security. Security experts agree that the potential of …
range of sectors, including network security. Security experts agree that the potential of …
RETRACTED ARTICLE: Analyzing the impacts of node density and speed on routing protocol performance in firefighting applications
Background Mobile ad hoc networks have piqued researchers' interest in various
applications, including forest fire detection. Because of the massive losses caused by this …
applications, including forest fire detection. Because of the massive losses caused by this …
Multicast On-Route cluster propagation to detect network intrusion detection systems on MANET using Deep Operator Neural networks
K Saminathan, L Perumal, FH Sha**… - Expert Systems with …, 2024 - Elsevier
Abstract Mobile Ad-hoc Networks (MANETs) face significant challenges related to security
threats and energy efficiency due to their dynamic nature. Traditional approaches have …
threats and energy efficiency due to their dynamic nature. Traditional approaches have …
Adaptive Marine Predator Optimization Algorithm (AOMA)-Deep Supervised Learning Classification (DSLC) Based IDS Framework for MANET Security
MS Sheela, AG Soundari, A Mudigonda… - Intelligent and …, 2024 - ieeexplore.ieee.org
Due to the dynamic nature and node mobility, assuring the security of Mobile Ad-hoc
Networks (MANET) is one of the difficult and challenging tasks today. In MANET, the …
Networks (MANET) is one of the difficult and challenging tasks today. In MANET, the …