Malware detection and prevention using artificial intelligence techniques

MJH Faruk, H Shahriar, M Valero… - … conference on big …, 2021 - ieeexplore.ieee.org
With the rapid technological advancement, security has become a major issue due to the
increase in malware activity that poses a serious threat to the security and safety of both …

Top-down machine learning-based architecture for cyberattacks identification and classification in IoT communication networks

Q Abu Al-Haija - Frontiers in big Data, 2022 - frontiersin.org
With the prompt revolution and emergence of smart, self-reliant, and low-power devices,
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …

Explainable artificial intelligence in cybersecurity: A survey

N Capuano, G Fenza, V Loia, C Stanzione - Ieee Access, 2022 - ieeexplore.ieee.org
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

An efficient deep-learning-based detection and classification system for cyber-attacks in IoT communication networks

Q Abu Al-Haija, S Zein-Sabatto - Electronics, 2020 - mdpi.com
With the rapid expansion of intelligent resource-constrained devices and high-speed
communication technologies, the Internet of Things (IoT) has earned wide recognition as the …

IoT malware network traffic classification using visual representation and deep learning

G Bendiab, S Shiaeles, A Alruban… - 2020 6th IEEE …, 2020 - ieeexplore.ieee.org
With the increase of IoT devices and technologies coming into service, Malware has risen as
a challenging threat with increased infection rates and levels of sophistication. Without …

Improving malicious email detection through novel designated deep-learning architectures utilizing entire email

T Muralidharan, N Nissim - Neural Networks, 2023 - Elsevier
In today's email dependent world, cyber criminals often target organizations using a variety
of social engineering techniques and specially crafted malicious emails. When successful …

[HTML][HTML] Malware classification for the cloud via semi-supervised transfer learning

X Gao, C Hu, C Shan, B Liu, Z Niu, H Xie - Journal of Information Security …, 2020 - Elsevier
Malware threats and privacy protection are two of the biggest challenges in the cloud
computing environment. Many studies have focused on the accuracy of malware detection …

Effective multitask deep learning for iot malware detection and identification using behavioral traffic analysis

S Ali, O Abusabha, F Ali, M Imran… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Despite the benefits of the Internet of Things (IoT), the growing influx of IoT-specific malware
coordinating large-scale cyberattacks via infected IoT devices has created a substantial …

[PDF][PDF] Development of a Novel Approach to Phishing Detection Using Machine Learning

AO Taofeek - ATBU Journal of Science, Technology and …, 2024 - researchgate.net
Agboola Olayinka Taofeek Stephen F. Austin State University, Nacogdoches, Texas, USA.
ABSTRACT Protecting and preventing sensitive data from being used appropriately has …

[PDF][PDF] Machine learning based model to identify firewall decisions to improve cyber-defense

QA Al-Haijaa, A Ishtaiwia - International Journal on Advanced …, 2021 - academia.edu
A firewall system is a security system to ensure traffic control for incoming and outgoing
packets passing through communication networks by applying specific decisions to improve …