PATENT CLAIM ANALYSIS

Application Number: 16160856
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-03
Patent Classification: ["726", "023000"]

Abstract:
A system, method and computer program product for detecting distributed denial-of-service (DDoS) attacks is provided. Current aggregated flow information for a defined period of time is analyzed. It is determined whether network flow increased above a defined flow threshold value to a second data processing system connected to a network within the defined period of time based on analyzing the current aggregated flow information. In response to determining that the network flow has increased above the defined flow threshold value to the second data processing system connected to the network within the defined period of time, it is determined that the second data processing system is under a DDoS attack.

Claim (Index 4):
The computer-implemented method of  claim 1  further comprising:\n determining, by the first data processing system, whether the second data processing system is a target destination for the first data processing system based on current flow information recorded in a local flow information table; and \n responsive to the first data processing system determining that the second data processing system is the target destination for the first data processing system based on the current flow information recorded in the local flow information table, transmitting, by the first data processing system, a notification to the second data processing system indicating that the second data processing system is under the DDoS attack.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 97.0
- Lexical Diversity: 2.10714
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15718092', '15811929', '10419548', '10723450', '12126976']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2490709434956535
- 35 USC 102 Novelty (BERT): 0.4993355511190411
- Combined Prediction Score: 0.2740974042579923
- Mean Citation Score: 233.971918
- Max Citation Score: 293.6757
- Similarity Product: 292.0955045646072

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