Abstract: A method for preventing data leakage may include: identifying data that is generated by at least one framework application in response to a data request from a first machine learning (ML) engine of a plurality of ML engines; creating a plurality of data blocks based on the generated data, a category of the first ML engine, and a tag associated with the first ML engine and the at least one framework application; determining whether the plurality of data blocks are valid to share with the first ML engine using an activity block chain associated with each of the plurality of framework applications; based on the plurality of data blocks being valid, sharing the plurality of data blocks with the first ML engine, and otherwise discarding the plurality of data blocks not to share with the first ML engine.

Abstract: Techniques are provided for identifying and encrypting fields of an application object at an application layer in a multi-tenant cloud architecture, using an object metadata structure of the application object. Accordingly, transparent, per-tenant encryption capabilities are provided, while enabling transfer of encrypted object data between the application layer and a storage layer.

Abstract: The disclosure herein describes a system for generating customizable summaries of multi-message conversations in email threads and other multi-message and multi-participant messaging applications. A summary icon is displayed if the number of messages in a thread exceeds a threshold number. Message data is cleaned and analyzed by ML models to generate feature vectors representing the messages content. Multiple loglinear regression models compute similarity between message sentences. Clustering algorithm(s) to generate a multi-message conversation thread summary based on the values. If the user selects the summary icon, the multi-message conversation thread summary is displayed. The summary includes summary sentences and/or annotations describing content of the messages in the thread, participants contributing to the messages in the thread, links back to the original messages in the thread and/or a count of the number of messages contributed by each participant.

Abstract: Provided is a method, performed by an electronic device, of performing an operation based on bending, the method including: sensing bending that deforms a shape of the electronic device; determining a first region, from which the bending is sensed, from among regions of the electronic device; selecting an object indicated by the first region from at least one object displayed on the electronic device; and performing an operation on the selected object.

Abstract: A method and a device for personalized automatic tagging are provided. The method includes obtaining a plurality of context-based tags based on interactions between a user of the electronic device and a plurality of data items on the electronic device. The obtained plurality of context-based tags are associated with the plurality of data items. In response to detecting at least one context-based search input, at least one context-based tag corresponding to the at least one context-based search input is determined. At least one data item associated with the at least one context-based tag identified. A display of the electronic device is caused to display the at least one data item to the user.

Abstract: This disclosure is directed to methods, computer program products, and systems for providing surface vehicle tracking data, including indications of potential collision zones, to an airport map display system onboard an aircraft. In one example, a method includes identifying historical navigation route data, aerodrome guidance features, and a predicted path of a first vehicle. The method further includes determining predicted positions along the predicted path and determining predicted positions of a second vehicle and comparing vehicle envelopes for the two vehicles to determine a predicted collision zone of the vehicles.

Abstract: The disclosure herein describes a system for generating customizable summaries of multi-message conversations in email threads and other multi-message and multi-participant messaging applications. A summary icon is displayed if the number of messages in a thread exceeds a threshold number. Message data is cleaned and analyzed by ML models to generate feature vectors representing the messages content. Multiple loglinear regression models compute similarity between message sentences. Clustering algorithm(s) to generate a multi-message conversation thread summary based on the values. If the user selects the summary icon, the multi-message conversation thread summary is displayed. The summary includes summary sentences and/or annotations describing content of the messages in the thread, participants contributing to the messages in the thread, links back to the original messages in the thread and/or a count of the number of messages contributed by each participant.

Abstract: A method of and system of efficient storage of data entries containing textual data is disclosed. The method may include accessing a plurality of data entries in a dataset, arranging the plurality of data entries in the dataset in a lexical order, placing a predetermined number of the plurality of data entries in each of a plurality of subblocks, performing data compression on the plurality of data entries in each of the plurality of subblocks to reduce redundancy in the plurality of data entries and create compressed data entries, placing one or more subblocks in each of a plurality of page blocks, and storing each of the plurality of page blocks in a storage device to provide efficient searching and improved functionality for the dataset.

Abstract: A method and system are provided for handling a blockchain network based file storage system including a plurality of electronic devices.

Abstract: In one aspect, systems and techniques for modifying a storage structure with newly encryptable fields is described. A delta encryption system loads a current database schema and an object model for a new database schema to a memory. The current database schema includes meta information identifying multiple fields and field information for a current application build. The object model includes meta information identifying multiple fields and field information for a new application build. The fields identified by the object model meta information include one or more encryptable fields. The delta encryption system calculates a field size information for the encryptable fields and compares the meta information from the current database schema with the meta information from the object model. In response to the comparison, the delta encryption system identifies which of the encryptable fields are newly encryptable fields and modifies a database based on the calculated field size information.

Abstract: A method of storing or searching data files on a plurality of cloud-based storage systems includes detecting an event on the electronic device indicative of storing at least one data file on a cloud-based storage, analyzing the at least one data file in response to detecting the event to extract a plurality of elements, mapping the plurality of elements to one or more rules stored in a memory of the electronic device, selecting at least one cloud-based storage for storing the at least one data file, and storing information corresponding to the at least one data file in the memory upon storing the at least one data file onto the selected at least one cloud-based storage for searching the at least one data file.

Abstract: Methods and apparatus, including computer program products, are provided for securing data in a multi-tenant cloud-based system. In some implementations, there is provided a method. The method may include requesting access to at least one encrypted data element; obtaining, in response to the requesting, a long bit stream assigned to a client associated with the requested access; generating a key to decrypt the at least one data element, the key generated by selecting, based on a permutation, portions of the long bit stream; and decrypting, based on the generated key, the at least one data element. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: The present disclosure generally relates to a software application runtime having dynamic evaluation functions and parameters. A dynamic evaluation engine of an application's runtime accepts evaluation requests from methods of a software application. A request can be associated with an identifier for a method of the software application. The method identifier can be associated with one or more dynamic evaluation functions having one or more dynamic evaluation parameters. When the dynamic evaluation engine receives a request from an application method, the dynamic evaluation engine can determine the one or more current dynamic evaluation functions or parameters to use with the request. The dynamic evaluation engine can return an evaluation result to the method. The dynamic evaluation engine can be in communication with a repository, such as a central repository, providing a unique mechanism to look up dynamic evaluation functions and parameters, which can be imported into the application's runtime.

Abstract: Cloud-based data is securely retrieved by obfuscating access patterns. A cloud storage system receives a request for data from a remote client that specifies a key. Thereafter, the cloud storage system iterates through an index to identify all locations corresponding to the specified key. Such index is generated by applying a series of j hash functions to each key resulting in a j different tables forming part of the index. Using the index, the cloud storage system returns data from the identified locations to the client. As each write operation works by using non-deterministic encryption, the write operation changes the records stored in this data structure, and when the record is not changed, the algorithm simply rewrites the data which is stored in the data structure by rewriting the same value back again. However since, a nondeterministic encryption is utilized, it makes it indistinguishable as to when new data was written and when existing data is rewritten.

Abstract: When storing encrypted data within a database, a key identifier may be appended to the encrypted data as a prefix. Then, when decrypting the encrypted data, the key identifier may then be used to identify an encryption key used to encrypt the data, even when multiple encryption keys have been used in encrypting and storing the encrypted data as a whole.

Abstract: A method and a device for personalized automatic tagging are provided. The method includes obtaining a plurality of context-based tags based on interactions between a user of the electronic device and a plurality of data items on the electronic device. The obtained plurality of context-based tags are associated with the plurality of data items. In response to detecting at least one context-based search input, at least one context-based tag corresponding to the at least one context-based search input is determined. At least one data item associated with the at least one context-based tag identified. A display of the electronic device is caused to display the at least one data item to the user.

Abstract: The present disclosure generally relates to a software application runtime having dynamic evaluation functions and parameters. A dynamic evaluation engine of an application's runtime accepts evaluation requests from methods of a software application. A request can be associated with an identifier for a method of the software application. The method identifier can be associated with one or more dynamic evaluation functions having one or more dynamic evaluation parameters. When the dynamic evaluation engine receives a request from an application method, the dynamic evaluation engine can determine the one or more current dynamic evaluation functions or parameters to use with the request. The dynamic evaluation engine can return an evaluation result to the method. The dynamic evaluation engine can be in communication with a repository, such as a central repository, providing a unique mechanism to look up dynamic evaluation functions and parameters, which can be imported into the application's runtime.

Abstract: Systems and methods include determination of a first data analysis period, determination of a first plurality of sets of parameter values, each of the first plurality of sets of parameter values being associated with a respective time period within the first data analysis period and describing a statistical distribution of data points associated with the respective time period, determination of a statistical distribution associated with the first data analysis period based on the first plurality of sets of parameter values, determination of a system condition based on the statistical distribution associated with the first data analysis period, and initiation of an action based on the determined system condition.

Abstract: Cloud-based data is securely retrieved by obfuscating access patterns. A cloud storage system receives a request for data from a remote client that specifies a key. Thereafter, the cloud storage system iterates through an index to identify all locations corresponding to the specified key. Such index is generated by applying a series of j hash functions to each key resulting in a j different tables forming part of the index. Using the index, the cloud storage system returns data from the identified locations to the client. As each write operation works by using non-deterministic encryption, the write operation changes the records stored in this data structure, and when the record is not changed, the algorithm simply rewrites the data which is stored in the data structure by rewriting the same value back again. However since, a nondeterministic encryption is utilized, it makes it indistinguishable as to when new data was written and when existing data is rewritten.

Abstract: A method to quantify compliance of a software snippet having a plurality of code lines includes generating an OpsHash fingerprint of the software snippet, dividing the software snippet OpsHash fingerprint into a first group containing one or more OpsHash fingerprint based on context code lines, and a second group containing one or more OpsHash fingerprint based on operation-on-context code lines, applying a probably approximate matching algorithm to the first group, generating context cardinality sets from the OpsHash fingerprints of the first group, quantifying a match between each of the context cardinality sets and at least one of a governing definition and a rule/technique definition, ranking the OpsHash fingerprints of the first group based on the quantifying match, and incorporating software snippets having an OpsHash fingerprint ranking above a predetermined threshold into a software application. A system to implement the method and a non-transitory computer-readable medium are also disclosed.