PATENT CLAIM ANALYSIS

Application Number: 16193167
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["726", "023000"]

Abstract:
Embodiments can identify requests that may be tied to a DDOS attack. For example, the primary identifiers (e.g., a source address) of requests for a network resource (e.g., an entire website or a particular element of the website) can be tracked. In one embodiment, a statistical analysis of how often a particular source address (or other primary identifier) normally makes a request can be used to identify source addresses that make substantially more requests. A normal amount can correspond to an average number of request that a source address makes. According to some embodiments, a system can use statistical analysis methods on various request data in web server logs to identify potential attacks and send data concerned potential attacks to an HBA system for further analysis.

Claim (Index 13):
The method as recited in  claim 9 , wherein the number of other histograms is equal to or greater than a specified percentage of the total number of target objects requested from the network resource.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 98.0
- Lexical Diversity: 1.82051
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15899106', '14931138', '15296824', '14815863', '15418518']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2928864981652495
- 35 USC 102 Novelty (BERT): 0.5190352214517707
- Combined Prediction Score: 0.3155013704939016
- Mean Citation Score: 203.40637
- Max Citation Score: 315.63992
- Similarity Product: 250.54198596446992

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

Dataset: test