Research Article
Modified Decision Tree Technique for Ransomware Detection at Runtime through API Calls
| Input: | | Dataset = malicious and benign files | | C: | | c: | | N: | | attribute_list: | | test_attribute: | | k | | Output: | | vector feature | | Function selection of features (RW dataset) | | 1. For i = 0 to N do | | 2. Replace Sample_set = c | | 3. Create node N | | 4. Call tree(N) | | 5. End for | | 6. Createtree(n) | | 7. IF N = attribute_list then | | 8. Return(N) | | 9. Else | | 10. Select from vector feature | | 11. Select vector feature F. | | 12. For i = 0 to k do | | 13. Set sample N to C, where C is features = match vectors calltree (N) | | 14. End for | | 15. End if | | End Function |
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