A study on malicious software behaviour analysis and detection techniques: Taxonomy, current trends and challenges

P Maniriho, AN Mahmood, MJM Chowdhury - Future Generation Computer …, 2022 - Elsevier
There has been an increasing trend of malware release, which raises the alarm for security
professionals worldwide. It is often challenging to stay on top of different types of malware …

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 …

A weighted minimum redundancy maximum relevance technique for ransomware early detection in industrial IoT

YA Ahmed, S Huda, BAS Al-rimy, N Alharbi, F Saeed… - Sustainability, 2022 - mdpi.com
Ransomware attacks against Industrial Internet of Things (IIoT) have catastrophic
consequences not only to the targeted infrastructure, but also the services provided to the …

Ensemble dynamic behavior detection method for adversarial malware

C Jing, Y Wu, C Cui - Future Generation Computer Systems, 2022 - Elsevier
Behavior-based malware detection approaches combined with deep learning techniques
are effective against unknown malware and malware variants. However, such approaches …

[引用][C] A Hybrid fusion based static and dynamic malware detection framework on omnidriod dataset.

LS Reddy, S Vemuru - International Journal of Early Childhood Special …, 2022