[HTML][HTML] The impacts of artificial intelligence techniques in augmentation of cybersecurity: a comprehensive review
Given the prevailing state of cybersecurity, it is reasonable to understand why cybersecurity
experts are seriously considering artificial intelligence as a potential field that can aid …
experts are seriously considering artificial intelligence as a potential field that can aid …
Analysis of support vector machine-based intrusion detection techniques
BS Bhati, CS Rai - Arabian Journal for Science and Engineering, 2020 - Springer
From the last few decades, people do various transaction activities like air ticket reservation,
online banking, distance learning, group discussion and so on using the internet. Due to …
online banking, distance learning, group discussion and so on using the internet. Due to …
[HTML][HTML] A genetic-based extreme gradient boosting model for detecting intrusions in wireless sensor networks
M Alqahtani, A Gumaei, H Mathkour… - Sensors, 2019 - mdpi.com
An Intrusion detection system is an essential security tool for protecting services and
infrastructures of wireless sensor networks from unseen and unpredictable attacks. Few …
infrastructures of wireless sensor networks from unseen and unpredictable attacks. Few …
Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective
AK Mishra, S Paliwal - Cluster Computing, 2023 - Springer
The network traffic has observed astounding expansion and is set to explode in the next few
years. Security attacks are becoming more and more synchronized as attackers are involved …
years. Security attacks are becoming more and more synchronized as attackers are involved …
Anomaly detection for insider attacks from untrusted intelligent electronic devices in substation automation systems
In recent decades, cyber security issues in IEC 61850-compliant substation automation
systems (SASs) have become growing concerns. Many researchers have developed various …
systems (SASs) have become growing concerns. Many researchers have developed various …
USWAVG-BS: Under-Sampled Weighted AVeraGed BorderlineSMOTE to handle data intrinsic difficulties
S Mostafaei, A Ahmadi, J Shahrabi - Expert Systems with Applications, 2023 - Elsevier
In two-class classification problems, learning from imbalanced data is a challenging task
due to the bias of machine learning algorithms towards the majority class. It has been shown …
due to the bias of machine learning algorithms towards the majority class. It has been shown …
Diverse analysis of data mining and machine learning algorithms to secure computer network
Network attacks are becoming more complex, making it more difficult to detect intrusions.
Various research have been done over the years, employing different categorization …
Various research have been done over the years, employing different categorization …
Artificial intelligence for classification and regression tree based feature selection method for network intrusion detection system in various telecommunication …
Now a days, secure data communication over computer network system is a major issue in
which impact of feature reduction plays a vital role to secure network by early detection of …
which impact of feature reduction plays a vital role to secure network by early detection of …
[HTML][HTML] Intrusion detection in machine learning based E-shaped structure with algorithms, strategies and applications in wireless sensor networks
S Kannadhasan, R Nagarajan - Heliyon, 2024 - cell.com
In the everyday world of computer applications, from the cloud to the Internet of Things,
distributed sensor networks are essential (IoT). These computer application devices are …
distributed sensor networks are essential (IoT). These computer application devices are …
Intelligent and improved self-adaptive anomaly based intrusion detection system for networks
With the advent of digital technology, computer networks have developed rapidly at an
unprecedented pace contributing tremendously to social and economic development. They …
unprecedented pace contributing tremendously to social and economic development. They …