MalDetConv: Automated Behaviour-based Malware Detection Framework Based on Natural Language Processing and Deep Learning Techniques. (arXiv:2209.03547v1 [cs.CR])

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 malware variants and anti-detection methods have been
significantly enhanced and as a result, traditional malware detection
techniques have become less effective. This work presents MalBehavD-V1, a new
behavioural dataset of Windows Application Programming Interface (API) calls
extracted from benign and malware executable files using the dynamic analysis
approach. In addition, we present MalDetConV, a new automated behaviour-based …

automated deep learning detection framework language malware malware detection natural language processing