5 papers
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…
A Slice-Based Change Impact Analysis for Regression Test Case Prioritization of Object-Oriented Programs
S. Panda, D. Munjal, D. P. Mohapatra
Test case prioritization focuses on finding a suitable order of execution of the test cases in a test suite to meet some performance goals like detecting faults early. It is likely…
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…
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…