PATENT CLAIM ANALYSIS

Application Number: 16158918
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-03
Patent Classification: ["726", "001000"]

Abstract:
A system and method for managing and analyzing security requirements in reusable models. At least one functional model, at least one security implementation model, at least one requirement model, and meta models of the models are read by a reader. A correspondence between the functional model, security implementation model, and the requirements model is analyzed, whereby the correspondence indicates that compliance/security/accreditation requirements defined in the requirement model match with security objectives implemented by controls defined by the security implementation model. Next, it is determined whether correspondence is or is not given based on the analysis of the correspondence and then evidence is generated based on the analysis of the correspondence and the determination and the impact of changes is analyzed.

Claim (Index 12):
The policy management device according to  claim 11 , wherein the policy characteristics include values, including at least one of an attribute value, a comparison value, a calculation result value, a subject value, an object value, a resource value, a context value, an environmental value, a static value, a dynamic value, a state value, a risk value, or an incident value.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 97.0
- Lexical Diversity: 2.18333
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15656393', '12997462', '14466382', '15393975', '14602935']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2921098028572485
- 35 USC 102 Novelty (BERT): 0.5790114468563886
- Combined Prediction Score: 0.3207999672571625
- Mean Citation Score: 332.332464
- Max Citation Score: 451.5971
- Similarity Product: 450.4801134356797

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