PATENT CLAIM ANALYSIS

Application Number: 15888806
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["726", "023000"]

Abstract:
A power fingerprinting system is adopted for assessing integrity of a target computer-based system. In one implementation, the power fingerprinting system may receive, at a first module, side-channel information of a first target component of a system, the first module being collocated with the first target component; obtain a power fingerprint for the first target component based on the side-channel information for the first target component, the power fingerprint for the first target component representing a plurality of execution statuses of the first target component; receive, at a second module, side-channel information of a second target component of the system, the second module being collocated with the second target component, the power fingerprint for the second target component representing a plurality of execution statuses of the second target component; and obtain a power fingerprint for the second target component based on the side-channel information for the second target component.

Claim (Index 10):
The apparatus of  claim 1 , wherein the processor is configured to be operatively coupled to a circuit, the circuit configured to provide a power spike to physically damage a portion of the device in response to the detection of the unauthorized access.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 88.0
- Lexical Diversity: 3.97561
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14796623', '14950676', '15386433', '13883105', '14950498']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3405296012672764
- 35 USC 102 Novelty (BERT): 0.5391199970248194
- Combined Prediction Score: 0.3603886408430307
- Mean Citation Score: 320.135942
- Max Citation Score: 407.02383
- Similarity Product: 241.0001296700549

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