PATENT CLAIM ANALYSIS

Application Number: 15924859
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["726", "022000"]

Abstract:
Malware detection techniques that detect malware by identifying the C&C communication between the malware and the remote host, and distinguish between communication transactions that carry C&C communication and transactions of innocent traffic. The system distinguishes between malware transactions and innocent transactions using malware identification models, which it adapts using machine learning algorithms. However, the number and variety of malicious transactions that can be obtained from the protected network are often too limited for effectively training the machine learning algorithms. Therefore, the system obtains additional malicious transactions from another computer network that is known to be relatively rich in malicious activity. The system is thus able to adapt the malware identification models based on a large number of positive examples—The malicious transactions obtained from both the protected network and the infected network. As a result, the malware identification models are adapted with high speed and accuracy.

Claim (Index 15):
The non-transitory computer-readable medium of  claim 14 , wherein the reputation value for the host is reduced based on feedback from the operator that alerts identifying the host are correct, and wherein the reputation value for the host is increased based on feedback from the operator that alerts identifying the host are false alarms.

Metadata:
- Claim Count in Document: 46.0
- Percentile: 90.0
- Lexical Diversity: 1.92771
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14295758', '13874339', '14060933', '13895271', '12971413']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3506818902670729
- 35 USC 102 Novelty (BERT): 0.5598548264337964
- Combined Prediction Score: 0.3715991838837453
- Mean Citation Score: 238.419838
- Max Citation Score: 374.7525
- Similarity Product: 220.0945342728496

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

Dataset: test