Abstract: A method and system for coding of a media “genome” employs machine learning models for social tagging of media titles. A media genome is a detailed description of the intrinsic elements that make up a piece of content; it is a comprehensive taxonomy that considers every impactful dimension of a film, TV episode, video short, video game, or other media title. The genome may be used by filmmakers to better understand their content, as well as that of competitors. It may also be used by entertainment marketers to better target their marketing budget for specific audiences, and by brands to determine which televisions programs and films they wish to advertise around or sponsor placements in.

Abstract: A method of enabling an employee to utilize earned and unpaid earnings includes receiving, with a with a central office processor, a record of an employee's accrued and unpaid earnings for a predetermined time period and storing the record in a database. The method further includes receiving, with the central office processor, an electronic request from an employee to access the employee's record of accrued and unpaid earnings for the predetermined time period. Upon receipt of the request, the central office processor accesses the database including the record of the employee's accrued and unpaid earnings for the predetermined time period and determines an amount of the employee's accrued and unpaid earnings for the predetermined time period available to the employee and transmits the amount for display to the employee.

Abstract: The invention is a system based on decentralized ledgers to enable compliance with privacy regulations. A consumer identifier (consumer ID) allows consent provenance to be saved in a shared decentralized ledger. The consent ID also empowers consumers to query as to how their data has been moved through the data supply chain. The consumer data itself is not stored in the blockchain, only consents and data transfer events. A consent API allows companies to enter the original consumer consent in a consent ledger; a data transfer API allows companies to record transfers from one to another; and a subscription API allows companies to be notified of changes to a given consent.

Abstract: A system for “horizontal” salting of database tables, text files, and data feeds utilizes a key field and character position within that field (the “Key Character”) and a Salting Field, which contains content that can legitimately be in one of at least two states without impacting the usefulness of the data. A unique identifier, which is assigned to the recipient of the data, is hidden within the data by using the variations of the states in the Salting Field, with the value of the Key Character identifying the position within the unique identifier. This type of salting is invisible to the recipient of the data file, does not alter the accuracy of the data, and can be made unique for a particular party receiving data files or unique for each data file.

Abstract: A system for applying fingerprinting/watermarking of consumer data, and analyzing “wild files” of consumer data to assign a guilt score for a particular party who may have leaked the data, allows the owner of data sources (“Data Owners”) to identify and assert ownership of textual data that has been distributed outside of their firewall in the clear (i.e., without encryption), either intentionally or unintentionally, and assign guilt to parties misusing the data. The system can be used by Data Owners who transmit, lease, or sell data to individuals or organizations (“Trusted Third Parties” or “TTPs”) to recognize and assert ownership of their data in the case where one or more TTPs leaks the data (the leaked file is defined as a “Leaked Subset”) into the hands of others (“Bad Actors”) who either knowingly or unknowingly use the data illegally.

Abstract: A system for applying fingerprinting/watermarking of consumer data, and analyzing “wild files” of consumer data to assign a guilt score for a particular party who may have leaked the data, allows the owner of data sources (“Data Owners”) to identify and assert ownership of textual data that has been distributed outside of their firewall in the clear (i.e., without encryption), either intentionally or unintentionally, and assign guilt to parties misusing the data. The system can be used by Data Owners who transmit, lease, or sell data to individuals or organizations (“Trusted Third Parties” or “TTPs”) to recognize and assert ownership of their data in the case where one or more TTPs leaks the data (the leaked file is defined as a “Leaked Subset”) into the hands of others (“Bad Actors”) who either knowingly or unknowingly use the data illegally.

Abstract: Change fingerprinting is applied to a text file, database table, or data feed to determine the timeframe in which an identified “wild file” was generated, even when its file creation meta-data is missing. Each row in the data contains information on a single object. At least one column in the data contains an age for each object at the time the file was created. The age data can be used to determine the date the file was created, such as by using recognition processing or by looking at data that has been added or dropped from the file based on age. By identifying the timeframe in which the wild file was created, the data owner may greatly reduce the computational burden needed to determine if the wild file contains stolen data because it greatly reduces the universe of files that must be compared to the wild file.

Abstract: A system and method for identifying a leaked data file and assigning guilt to one or more suspected leakers proceeds through a plurality of levels. At a first level, primary watermark detection occurs. Data is inserted into a subset of data to determine correlation with data in the suspected leaked file. The guilt probability that results is then weighted based on the number of bits matched. In a second level, another search process is performed for detecting additional salt-related patterns. The guilt score is then computed for every detected recipient identifier for the suspected leaked data file, and the relative guilt of these recipients is weighted. In a third layer, the statistical distribution of data in the suspected leaked file is compared with that of corresponding data in the reference files. After this layer is complete, the average of guilt scores across each of the layers is calculated.

Abstract: A system for applying fingerprinting/watermarking of consumer data, and analyzing “wild files” of consumer data to assign a guilt score for a particular party who may have leaked the data, allows the owner of data sources (“Data Owners”) to identify and assert ownership of textual data that has been distributed outside of their firewall in the clear (i.e., without encryption), either intentionally or unintentionally, and assign guilt to parties misusing the data. The system can be used by Data Owners who transmit, lease, or sell data to individuals or organizations (“Trusted Third Parties” or “TTPs”) to recognize and assert ownership of their data in the case where one or more TTPs leaks the data (the leaked file is defined as a “Leaked Subset”) into the hands of others (“Bad Actors”) who either knowingly or unknowingly use the data illegally.

Abstract: A system for applying fingerprinting/watermarking of consumer data, and analyzing “wild files” of consumer data to assign a guilt score for a particular party who may have leaked the data, allows the owner of data sources (“Data Owners”) to identify and assert ownership of textual data that has been distributed outside of their firewall in the clear (i.e., without encryption), either intentionally or unintentionally, and assign guilt to parties misusing the data. The system can be used by Data Owners who transmit, lease, or sell data to individuals or organizations (“Trusted Third Parties” or “TTPs”) to recognize and assert ownership of their data in the case where one or more TTPs leaks the data (the leaked file is defined as a “Leaked Subset”) into the hands of others (“Bad Actors”) who either knowingly or unknowingly use the data illegally.

Abstract: The invention is a system based on decentralized ledgers to enable compliance with privacy regulations. A consumer identifier (consumer ID) allows consent provenance to be saved in a shared decentralized ledger. The consent ID also empowers consumers to query as to how their data has been moved through the data supply chain. The consumer data itself is not stored in the blockchain, only consents and data transfer events. A consent API allows companies to enter the original consumer consent in a consent ledger; a data transfer API allows companies to record transfers from one to another; and a subscription API allows companies to be notified of changes to a given consent.

Abstract: A system for applying fingerprinting/watermarking of consumer data, and analyzing “wild files” of consumer data to assign a guilt score for a particular party who may have leaked the data, allows the owner of data sources (“Data Owners”) to identify and assert ownership of textual data that has been distributed outside of their firewall in the clear (i.e., without encryption), either intentionally or unintentionally, and assign guilt to parties misusing the data. The system can be used by Data Owners who transmit, lease, or sell data to individuals or organizations (“Trusted Third Parties” or “TTPs”) to recognize and assert ownership of their data in the case where one or more TTPs leaks the data (the leaked file is defined as a “Leaked Subset”) into the hands of others (“Bad Actors”) who either knowingly or unknowingly use the data illegally.

Abstract: A system and method for salting and fingerprinting database tables, text files, data feeds, and the like, first resorts the data according to a field or fields in the data set. A salting recipe is selected and applied to the sorted data. A fingerprint of the data is captured after sorting and salting. The data is then restored to its original order before being sent to a trusted third party. Because the data owner retains information concerning the sorting sorting sonar technique, salting technique, and the fingerprint, the data owner can reconstruct the unsalted file from the salted file, and can determine if a wild file contains data from the data file. The salting is difficult to detect by the bad actor, even if the bad actor is aware that the data has been salted.

Abstract: A system and method for statistical fingerprinting of structured datasets begins by dividing the structured database into groups of data subsets. These subsets are created based on the structure of the data; for example, data delineated by columns and rows may be broken into subsets by designating each column as a subset. A fingerprint is derived from each subset, and then the fingerprint for each subset is combined in order to create an overall fingerprint for the dataset. By applying this process to a “wild file” of unknown provenance, and comparing the result to a data owner's files, it may be determined if data in the wild file was wrongfully acquired from the data owner.

Abstract: A system for “horizontal” salting of database tables, text files, and data feeds utilizes a key field and character position within that field (the “Key Character”) and a Salting Field, which contains content that can legitimately be in one of at least two states without impacting the usefulness of the data. A unique identifier, which is assigned to the recipient of the data, is hidden within the data by using the variations of the states in the Salting Field, with the value of the Key Character identifying the position within the unique identifier. This type of salting is invisible to the recipient of the data file, does not alter the accuracy of the data, and can be made unique for a particular party receiving data files or unique for each data file.

Abstract: A system and method for statistical fingerprinting of structured datasets begins by dividing the structured database into groups of data subsets. These subsets are created based on the structure of the data; for example, data delineated by columns and rows may be broken into subsets by designating each column as a subset. A fingerprint is derived from each subset, and then the fingerprint for each subset is combined in order to create an overall fingerprint for the dataset. By applying this process to a “wild file” of unknown provenance, and comparing the result to a data owner's files, it may be determined if data in the wild file was wrongfully acquired from the data owner.

Abstract: Change fingerprinting is applied to a text file, database table, or data feed to determine the timeframe in which an identified “wild file” was generated, even when its file creation meta-data is missing. Each row in the data contains information on a single object. At least one column in the data contains an age for each object at the time the file was created. The age data can be used to determine the date the file was created, such as by using recognition processing or by looking at data that has been added or dropped from the file based on age. By identifying the timeframe in which the wild file was created, the data owner may greatly reduce the computational burden needed to determine if the wild file contains stolen data because it greatly reduces the universe of files that must be compared to the wild file.

Abstract: A system for “horizontal” salting of database tables, text files, and data feeds utilizes a key field and character position within that field (the “Key Character”) and a Salting Field, which contains content that can legitimately be in one of at least two states without impacting the usefulness of the data. A unique identifier, which is assigned to the recipient of the data, is hidden within the data by using the variations of the states in the Salting Field to represent a binary 0 or 1, with the value of the Key Character identifying the bit position of the binary 0 or 1 within the unique identifier. This type of salting is invisible to the recipient of the data file, does not alter the accuracy of the data, and can be made unique for a particular party receiving data files or unique for each data file.

Abstract: A system and method for salting and fingerprinting database tables, text files, data feeds, and the like, first resorts the data according to a field or fields in the data set. A salting recipe is selected and applied to the sorted data. A fingerprint of the data is captured after sorting and salting. The data is then restored to its original order before being sent to a trusted third party. Because the data owner retains information concerning the sorting sorting sonar technique, salting technique, and the fingerprint, the data owner can reconstruct the unsalted file from the salted file, and can determine if a wild file contains data from the data file. The salting is difficult to detect by the bad actor, even if the bad actor is aware that the data has been salted.

Abstract: A duct includes first and second bellows sections. First and second torsional rings are attached to, respectively, the first and second bellows sections. First and second dynamic seals are sandwiched between the first and second torsional rings.