Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy

Ali Nemati6 days ago24 sec read2 views

Researchers have developed a new method using natural language processing and machine learning to classify malware more accurately by analyzing textual features through n-gram techniques. This approach significantly improves classification accuracy to 99.02%, reducing dimensionality issues while maintaining high performance, offering content creators a robust tool against evolving cyber threats.

Read the full article at arXiv cs.CR (Cryptography & Security)

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