PATENT CLAIM ANALYSIS

Application Number: 16181247
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["726", "023000"]

Abstract:
Techniques for malware detection using clustering with malware source information are disclosed. In some embodiments, malware detection using clustering with malware source information includes generating a first cluster of source information associated with a first malware sample, in which the first malware sample was determined to be malware, and the first malware sample was determined to be downloaded from a first source; and determining that a second source is associated with malware based on the first cluster.

Claim (Index 5):
The system recited in  claim 1 , wherein the processor is further configured to:\n generate a graph associating Internet Protocol (IP) address related source information and domain related source information with the first malware sample to generate the first cluster.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 2.02439
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15614500', '13777995', '15653381', '13778001', '15141739']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3426946094761717
- 35 USC 102 Novelty (BERT): 0.5256985938376264
- Combined Prediction Score: 0.3609950079123171
- Mean Citation Score: 317.22965399999987
- Max Citation Score: 356.27994
- Similarity Product: 322.8232698235202

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test