[HTML][HTML] Towards Securing Smart Homes: A Systematic Literature Review of Malware Detection Techniques and Recommended Prevention Approach
The exponential growth of the Internet of Things (IoT) sector has resulted in a surge of
interconnected gadgets in smart households, thus exposing them to new cyber-attack …
interconnected gadgets in smart households, thus exposing them to new cyber-attack …
Intrusion detection systems for IoT based on bio-inspired and machine learning techniques: a systematic review of the literature
Recent technological advancements have significantly expanded both networks and data,
thereby introducing new forms of attacks that pose considerable challenges to intrusion …
thereby introducing new forms of attacks that pose considerable challenges to intrusion …
An improved long short term memory network for intrusion detection
Over the years, intrusion detection system has played a crucial role in network security by
discovering attacks from network traffics and generating an alarm signal to be sent to the …
discovering attacks from network traffics and generating an alarm signal to be sent to the …
A Blockchain-Powered Malicious Node Detection in Internet of Autonomous Vehicles
SB Prathiba, P Murali, RS Moorthy… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The proliferation of Autonomous Vehicles (AVs) in recent times has opened up new
possibilities for effective and secure transportation. However, with the increasing adoption of …
possibilities for effective and secure transportation. However, with the increasing adoption of …
Securing the Internet of Wetland Things (IoWT) Using Machine and Deep Learning Methods: A Survey
Wetlands are essential ecosystems that provide ecological, hydrological, and economic
benefits. However, human activities and climate change are degrading their health and …
benefits. However, human activities and climate change are degrading their health and …
Securing smart agriculture networks using bio-inspired feature selection and transfer learning for effective image-based intrusion detection
The smart agricultural system integrates advanced technologies to optimize farming
practices and increase productivity. It gathers images from sensors, drones, and other …
practices and increase productivity. It gathers images from sensors, drones, and other …
Application of the Lightweight BERT Model for the Warning of Tourism Public Opinion Emergencies
L Meng, J Chen - IEEE Access, 2024 - ieeexplore.ieee.org
The tourism industry, being highly information-intensive and influenced by public opinion,
increasingly relies on public opinion monitoring. This study investigates the application of a …
increasingly relies on public opinion monitoring. This study investigates the application of a …
Feature Fusion for Malware Traffic Detection Using Image Visualization and Transfer Learning
S Kumar, Y Sapru, KP Rao - 2024 10th International …, 2024 - ieeexplore.ieee.org
Malware threats have become increasingly sophisticated and more complex, making
detecting and preventing them difficult. Traditional malware detection methods, such as …
detecting and preventing them difficult. Traditional malware detection methods, such as …
[PDF][PDF] Insights of machine learning-based threat identification schemes in advanced network system
T Narasimhamurthy, GH Swamy - International Journal of Electrical …, 2024 - academia.edu
An advanced network system (ANS) is characterized by extensive communication features
that can support a sophisticated collaborative network structure. This is essential to hosting …
that can support a sophisticated collaborative network structure. This is essential to hosting …
Automated Malware Detection Based on a Machine Learning Algorithm
Malware detection relies on the discriminative power of machine learning to identify new
variants of malware samples. Automated malware detection, driven by machine learning …
variants of malware samples. Automated malware detection, driven by machine learning …