A fine-grained system driven of attacks over several new representation techniques using machine learning
MA Al Ghamdi - IEEE Access, 2023 - ieeexplore.ieee.org
Machine Learning (ML) techniques, especially deep learning, are crucial to many
contemporary real world systems that use Computational Intelligence (CI) as their core …
contemporary real world systems that use Computational Intelligence (CI) as their core …
Analyze textual data: deep neural network for adversarial inversion attack in wireless networks
MA Al Ghamdi - SN Applied Sciences, 2023 - Springer
Deep neural networks (DNN) are highly effective in a number of tasks related to machine
learning across different domains. It is quite challenging to apply the information gained to …
learning across different domains. It is quite challenging to apply the information gained to …
LLaMa Assisted Reverse Engineering of Modern Ransomware: A Comparative Analysis with Early Crypto-Ransomware
FE Vasconcelos, GS Almeida - 2023 - researchsquare.com
The evolution of ransomware from crypto-ransomware to sophisticated data theft
ransomware presents new challenges in cybersecurity. This study investigates the strategic …
ransomware presents new challenges in cybersecurity. This study investigates the strategic …
Mitigating data exfiltration ransomware through advanced decoy file strategies
S Liu, X Chen - 2023 - researchsquare.com
This study introduces an advanced decoy file strategy utilizing Generative Adversarial
Networks (GANs) to combat data exfiltration ransomware threats. Focused on creating highly …
Networks (GANs) to combat data exfiltration ransomware threats. Focused on creating highly …
A Study on the Multi-Cyber Range Application of Mission-Based Cybersecurity Testing and Evaluation in Association with the Risk Management Framework
I Kim, M Park, HJ Lee, J Jang, S Lee, D Shin - Information, 2023 - mdpi.com
With the advancement of IT technology, intelligent devices such as autonomous vehicles,
unmanned equipment, and drones are rapidly evolving. Consequently, the proliferation of …
unmanned equipment, and drones are rapidly evolving. Consequently, the proliferation of …
Analyzing Data Theft Ransomware Traffic Patterns Using BERT
G Almeida, F Vasconcelos - 2023 - preprints.org
This research looks into the evolving dynamics of ransomware, shifting from conventional
encryption-based attacks to sophisticated data exfiltration strategies. Employing the …
encryption-based attacks to sophisticated data exfiltration strategies. Employing the …
Laundry Cluster Management Using Cloud
Electronic devices in the 21st century have numerous network components, including
wireless or wired Internet access modules. Connecting devices to networks and cloud …
wireless or wired Internet access modules. Connecting devices to networks and cloud …
[PDF][PDF] Integrating Ebola optimization search algorithm for enhanced deep learning-based ransomware detection in Internet of Things security
IR Alzahrani, R Allafi - AIMS Mathematics, 2024 - aimspress.com
Integrating Ebola optimization search algorithm for enhanced deep learning-based ransomware
detection in Internet of Things secu Page 1 AIMS Mathematics, 9(3): 6784–6802. DOI …
detection in Internet of Things secu Page 1 AIMS Mathematics, 9(3): 6784–6802. DOI …
Internet of Things Assisted Automated Ransomware Recognition using Harmony Search Algorithm with Deep Learning
S Karunakaran, M Maharajothi… - 2023 International …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) denotes a networking system of interrelated equipment's that is
capable of gathering and interchanging information in the Internet system with no human …
capable of gathering and interchanging information in the Internet system with no human …