A computer-implemented method for automatically identifying changes in deliverable files may include (1) identifying, within first and second versions of a program file, at least one post-file-header section that is located after a file header of the program file, (2) locating, within the post-file-header section of the first version of the program file, a first set of characters that correspond to at least one data field that is known to potentially change between builds of the program file even when source code of the program file has not changed, (3) locating, within the post-file-header section of the second version of the program file, a second set of characters that correspond to the data field, and (4) masking both the first and second sets of characters from a comparison between the first and second versions of the file. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for automatically identifying changes in deliverable files

A database server (e.g., a replica) generates a local checksum from a sequence of database operations and contributes the sequence of operations and the local checksum to a shared log of a distributed database. Additional database servers, similarly, generate local checksums. A checksum replica agent determines a first ordering of database operations of a first database server of a database, determines a second ordering of database operations of a second database server of the database; determines whether a third ordering of database operations that is based at least in part on the first ordering and the second ordering is valid. In an embodiment, a checksum replica agent generates a global checksum over the third ordering. Checksums, in an embodiment, are digitally signed and/or encrypted.

Mechanism to protect a distributed replicated state machine

In one aspect of the embodiment, the method includes an algorithm to derive sensitive data values through a series of complex calculations based on various iterations of byte dissociation followed by complex mathematical operations and byte concatenations. In another aspect of the embodiment, the sensitive data management algorithm protects data by creating a library coded in the C programming language which on decompilation gives native machine learning code. This sensitive data protection library is coded and compiled as .so files which reside at the core level deep inside the application layer, thus being only accessible through the application layer code by proper access interface layer.

Theater ears android app sensitive data management

To ensure a simple and secure verification of a device, in particular of a safety controller, a method of verifying a configuration of a device, in particular of a safety controller, is provided, said method comprising the steps of subdividing the configuration of the device into at least two part configurations that are validated, of allocating the part configurations to at least one part configuration sequence in which a dependence on a verification of the part configurations on one another is predefined, of determining parameters of each part configuration, with the parameters being used for verifying the respective part configurations, of calculating a single checksum that reproduces the verification of the part configurations, with the single checksum of a preceding part configuration being recalculated in the verification of a part configuration following in the part configuration sequence and with the verification of the preceding part configuration being confirmed on an agreement of the single checksum, and with the configuration of the device being verified when the last part configuration has been verified for each part configuration sequence.

Method of modular verification of a configuration of a device

Methods, systems, and computer-readable media for determining whether dependencies of configuration files have changed such that the compilation strategy should be recomputed. Local build checksums are computed for individual configuration files. The local build checksums are computed by sorting input paths to the configuration files plus data indicating whether the path refers to a file or a directory and a checksum computed on the configuration file itself. The transitive closure of local build checksums are then used to compute a global build checksum: the local build checksums are sorted in order to compute the global build checksum. If the global build checksum is different from a previously computed global build checksum, then the compilation strategy should be recomputed, since this is a signal that the compilation strategy may not be valid anymore, e.g. because some dependencies in the configuration files have changed.

Methods, Apparatuses, and Computer-Readable Media for Computing Checksums for Effective Caching in Continuous Distributed Builds

Methods and apparatuses for computing checksums for effective caching in continuous distributed builds

A build system and method, including receiving attribute rules and new rules, wherein the attribute rules correspond to one or more predefined default actions of the build system, wherein the new rules specify new actions that are to be added to the build system A graph is generated to include files specified as attributes in the attributes rules and the one or more predefined default actions that correspond to the attributes rules A request to enable at least one of the new rules is received Action listener rules are received, wherein the action listener rules indicate default actions and corresponding new rules of the one or more new rules The graph is checked for default actions that are indicated in the action listener rules Additional actions are added to the graph for new rules based on the default actions indicated in the action listener rules

Systems and methods for rule based meta-programming of actions for rule based build systems

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Methods, Apparatuses, and Computer-Readable Media for Computing Checksums for Effective Caching in Continuous Distributed Builds

Methods and apparatuses for computing checksums for effective caching in continuous distributed builds

Systems and methods for rule based meta-programming of actions for rule based build systems