PATENT CLAIM ANALYSIS

Application Number: 15997435
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["713", "176000"]

Abstract:
Systems for forensic steganography. A server is interfaced with storage facilities that store an object accessible by two or more users, each of which users are associated with respective profiles comprising one or more user-specific attributes. A method detects a user request to view the object. User-specific attributes are encoded into a steganographic message, which is formatted for saving into one or more locations in the object, thus generating a protected object. The protected object is delivered to the requesting user. Encoding, application and formatting techniques are configured to make the steganographic message undetectable by human viewing of the protected object. A web crawler or other policing technique can detect misappropriation in the form of unauthorized dissemination by detecting the presence of the encoded steganographic message embedded in the protected object. Decoding the steganographic message reveals the user-specific attributes so as to identify the user who disseminated the protected object.

Claim (Index 16):
The computer program product of  claim 14 , wherein the object attributes indicate that the object is partitioned according to a certain content type.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.84091
- Patent Class: 713.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14938679', '14931770', '14973518', '15240875', '15140179']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3827435064306042
- 35 USC 102 Novelty (BERT): 0.5722660661627464
- Combined Prediction Score: 0.4016957624038185
- Mean Citation Score: 285.100304
- Max Citation Score: 469.4332
- Similarity Product: 345.908915404129

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

Dataset: test