Dataset analysis and feature characteristics to predict rice production based on eXtreme gradient boosting
EB Wijayanti, DRIM Setiadi… - Journal of Computing …, 2024 - dl.futuretechsci.org
Rice plays a vital role as the main food source for almost half of the global population,
contributing more than 21% of the total calories humans need. Production predictions are …
contributing more than 21% of the total calories humans need. Production predictions are …
A detailed review on enhancing the security in Internet of Things-Based Smart City Environment using Machine learning algorithms
Over the past few years, smart cities have seamlessly integrated into our daily lives, offering
convenience and simplicity. However, as these cities become increasingly interconnected …
convenience and simplicity. However, as these cities become increasingly interconnected …
Android ransomware detection using supervised machine learning techniques based on traffic analysis
A Albin Ahmed, A Shaahid, F Alnasser, S Alfaddagh… - Sensors, 2023 - mdpi.com
In today's digitalized era, the usage of Android devices is being extensively witnessed in
various sectors. Cybercriminals inevitably adapt to new security technologies and utilize …
various sectors. Cybercriminals inevitably adapt to new security technologies and utilize …
Design and Experimental Assessment of Real-Time Anomaly Detection Techniques for Automotive Cybersecurity
In recent decades, an exponential surge in technological advancements has significantly
transformed various aspects of daily life. The proliferation of indispensable objects such as …
transformed various aspects of daily life. The proliferation of indispensable objects such as …
Investigating the impact of feature selection on adversarial transferability in intrusion detection system
Adversarial attacks pose a serious threat to cybersecurity systems, particularly intrusion
detection systems (IDSs). The property of transferability exacerbates this threat, as attacks …
detection systems (IDSs). The property of transferability exacerbates this threat, as attacks …
Random Under Sampling for Performance Improvement in Attack Detection on Internet of Vehicles Using Machine Learning
MAN Anargya, W Ghozi… - Jurnal Informatika …, 2025 - ejournal.poltekharber.ac.id
Abstract The Internet of Vehicles (IoV) technology is one of the advancements derived from
the Internet of Things (IoT) in the transportation sector, benefiting its users. However, the …
the Internet of Things (IoT) in the transportation sector, benefiting its users. However, the …
Featured Papers on Network Security and Privacy
J Mongay Batalla - Journal of Sensor and Actuator Networks, 2024 - mdpi.com
There is an urgent need to introduce security-by-design in networks. Security-bydesign is a
way to build a network where security is considered holistically in the whole network from its …
way to build a network where security is considered holistically in the whole network from its …
IoT Attacks Detection Using Supervised Machine Learning Techniques
M Aljabri, A Shaahid, F Alnasser… - HighTech and …, 2024 - hightechjournal.org
In recent times, the growing significance of Internet of Things (IoT) devices in people's lives
is undeniable, driven by their myriad benefits. However, these devices confront …
is undeniable, driven by their myriad benefits. However, these devices confront …
[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 …
Machine Learning for Intrusion Detection Systems: A Systematic Literature Review
As the world continues to digitise, the threat of cyberattacks increases. Cyber-attacks are
becoming more common and complex, making them more difficult to detect and prevent …
becoming more common and complex, making them more difficult to detect and prevent …