5 papers
System Calls for Malware Detection and Classification: Methodologies and Applications
Bishwajit Prasad Gond, Durga Prasad Mohapatra
As malware continues to become more complex and harder to detect, Malware Analysis needs to continue to evolve to stay one step ahead. One promising key area approach focuses on us…
Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy
Bishwajit Prasad Gond, Rajneekant, Pushkar Kishore +1
This paper investigates the application of natural language processing (NLP)-based n-gram analysis and machine learning techniques to enhance malware classification. We explore how…
Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion
Md Shahnawaz, Bishwajit Prasad Gond, Durga Prasad Mohapatra
Malware detection and classification remains a topic of concern for cybersecurity, since it is becoming common for attackers to use advanced obfuscation on their malware to stay un…
Deep Learning-Driven Malware Classification with API Call Sequence Analysis and Concept Drift Handling
Bishwajit Prasad Gond, Durga Prasad Mohapatra
Malware classification in dynamic environments presents a significant challenge due to concept drift, where the statistical properties of malware data evolve over time, complicatin…
Predicting Bad Goods Risk Scores with ARIMA Time Series: A Novel Risk Assessment Approach
Bishwajit Prasad Gond
The increasing complexity of supply chains and the rising costs associated with defective or substandard goods (bad goods) highlight the urgent need for advanced predictive methodo…