Deep learning-based risk management of financial market in smart grid

T Teng, L Ma - Computers and Electrical Engineering, 2022 - Elsevier
Smart grid control systems (SGCSs) become more vulnerable to cyber-attacks because of
the combination of the Internet of Things and communication systems. Conventional …

Diversity-by-design for dependable and secure cyber-physical systems: A survey

Q Zhang, AZ Mohammed, Z Wan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Diversity-based security approaches have been studied for several decades since the
1970s. The concept of diversity-by-design emerged in the 1980s. Since then, diversity …

Towards multi-view android malware detection through image-based deep learning

J Geremias, EK Viegas, AO Santin… - 2022 International …, 2022 - ieeexplore.ieee.org
Over the last years, several works have proposed highly accurate Android malware
detection techniques. Surprisingly, modern malware apps can still pave their way to official …

[HTML][HTML] Proactive defense mechanism: Enhancing IoT security through diversity-based moving target defense and cyber deception

Z Rehman, I Gondal, M Ge, H Dong, M Gregory… - Computers & …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has become increasingly prevalent in various aspects of
our lives, enabling billions of devices to connect and communicate seamlessly. However …

[HTML][HTML] Rapid Forecasting of Cyber Events Using Machine Learning-Enabled Features

Y Ahmed, MA Azad, T Asyhari - Information, 2024 - mdpi.com
In recent years, there has been a notable surge in both the complexity and volume of
targeted cyber attacks, largely due to heightened vulnerabilities in widely adopted …

Detection of service provider hardware over-commitment in container orchestration environments

P Horchulhack, EK Viegas… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
The deployment of container-based services continues to increase as time passes, mainly
due to its fast provision time and lower allocation overheads. Yet, the literature still neglects …

Towards a reliable hierarchical android malware detection through image-based cnn

J Geremias, EK Viegas, AO Santin… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
The number of Android malicious applications keeps growing as time passes, even paving
their way to official app markets. In recent years, a promising malware detection approach …

Intrusion detection model updates through GAN data augmentation and transfer learning

P Horchulhack, EK Viegas, AO Santin… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Current machine learning techniques for network-based intrusion detection cannot handle
the evolving behavior of network traffic, requiring periodic model updates to be conducted …

A Dynamic Network-based Intrusion Detection Model for Industrial Control Systems

PR de Oliveira, AO Santin… - 2023 IEEE 22nd …, 2023 - ieeexplore.ieee.org
Industrial Control Systems (ICS) play a crucial role in managing and controlling industrial
assets. Due to their critical importance, adversaries are often highly motivated to target these …

Machine Learning-Based Early Intrusion Detection System in Industrial LAN Networks Using Honeypots

A Pashaei, MEE Akbari, MZ Lighvan, A Charmin - 2021 - researchsquare.com
The emergence of industrial Cyberinfrastructures, the development of information
communication technology in industrial fields, and the remote accessibility of automated …