A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems
Cybersecurity incident response is a very crucial part of the cybersecurity management
system. Adversaries emerge and evolve with new cybersecurity tactics, techniques, and …
system. Adversaries emerge and evolve with new cybersecurity tactics, techniques, and …
[HTML][HTML] A novel ensemble method for enhancing Internet of Things device security against botnet attacks
The growing number of connected Internet of Things (IoT) devices has led to the daily
growth of network botnet attacks. The networks of compromised devices controlled by a …
growth of network botnet attacks. The networks of compromised devices controlled by a …
Novel class probability features for optimizing network attack detection with machine learning
Network attacks refer to malicious activities exploiting computer network vulnerabilities to
compromise security, disrupt operations, or gain unauthorized access to sensitive …
compromise security, disrupt operations, or gain unauthorized access to sensitive …
Enabling a secure iot environment using a blockchain-based local-global consensus manager
S Alghamdi, A Albeshri, A Alhusayni - Electronics, 2023 - mdpi.com
The Internet of Things (IoT) refers to the network of interconnected devices that can
communicate and share data over the Internet. The widespread adoption of smart devices …
communicate and share data over the Internet. The widespread adoption of smart devices …
AE-Net: Novel Autoencoder-Based Deep Features for SQL Injection Attack Detection
Structured Query Language (SQL) injection attacks represent a critical threat to database-
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …
A novel approach for real-time server-based attack detection using meta-learning
Modern networks are crucial for seamless connectivity but face various threats, including
disruptive network attacks, which can result in significant financial and reputational risks. To …
disruptive network attacks, which can result in significant financial and reputational risks. To …
IVNet: Transfer learning based diagnosis of breast cancer grading using histopathological images of infected cells
Breast cancer constitutes a significant global health concern that impacts millions of women
across the world. The diagnosis of breast cancer involves categorizing grades based on the …
across the world. The diagnosis of breast cancer involves categorizing grades based on the …
Securing multi-environment networks using versatile synthetic data augmentation technique and machine learning algorithms
The emergence of new network architectures, protocols, and tools has made it easier for
cybercriminals to launch attacks using AI-based tools, presenting challenges in network …
cybercriminals to launch attacks using AI-based tools, presenting challenges in network …
[HTML][HTML] An efficient artificial intelligence approach for early detection of cross-site scripting attacks
Abstract Cross-Site Scripting (XSS) attacks continue to pose a significant threat to web
applications, compromising the security and integrity of user data. XSS is a web application …
applications, compromising the security and integrity of user data. XSS is a web application …
A Network Traffic Intrusion Detection Method for Industrial Control Systems Based on Deep Learning
K Jin, L Zhang, Y Zhang, D Sun, X Zheng - Electronics, 2023 - mdpi.com
The current mainstream intrusion detection models often have a high false negative rate,
significantly affecting intrusion detection systems'(IDSs) practicability. To address this issue …
significantly affecting intrusion detection systems'(IDSs) practicability. To address this issue …