5 citations · 10 across the 3 of their papers we have counts for
3 papers
EarlyMalDetect: A Novel Approach for Early Windows Malware Detection Based on Sequences of API Calls
Pascal Maniriho, Abdun Naser Mahmood, Mohammad Jabed Morshed Chowdhury
In this work, we propose EarlyMalDetect, a novel approach for early Windows malware detection based on sequences of API calls. Our approach leverages generative transformer models…
MalDetConv: Automated Behaviour-based Malware Detection Framework Based on Natural Language Processing and Deep Learning Techniques
Pascal Maniriho, Abdun Naser Mahmood, Mohammad Jabed Morshed Chowdhury
The popularity of Windows attracts the attention of hackers/cyber-attackers, making Windows devices the primary target of malware attacks in recent years. Several sophisticated mal…
Deep Learning Models for Detecting Malware Attacks
Pascal Maniriho, Abdun Naser Mahmood, Mohammad Jabed Morshed Chowdhury
Malware is one of the most common and severe cyber-attack today. Malware infects millions of devices and can perform several malicious activities including mining sensitive data, e…