Sanjula Karanam

Sanjula Karanam was a master’s degree student in computer engineering in the Department of Computer Science. She was advised by Danfeng (Daphne) Yao.
The objective of her research is to detect ransomware and benign files on a Windows machine using their behavioral aspects, more specifically, dynamic API calls made by a file during execution. The API calls are extracted by performing a dynamic analysis of the ransomware and benign files on Cuckoo Sandbox followed by their classification using various machine learning algorithms, including Random Forest, K-Nearest Neighbors, etc. The trained model will also be used to detect zero-day ransomware files belonging to unseen ransomware families.
Research Areas:
  • Artificial Intelligence
  • iconForecasting
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