Abstract: A system for detecting security threats in deployed software packages receives a request from a user to access software packages to perform a particular task. The system selects particular software packages based on an experience level of the user in performing the particular task. The system deploys the particular software packages to a computing device associated with the user. The system monitors the deployed software packages to determine whether a security vulnerability is introduced to the computing device by the deployed software packages. In response to determining that the security vulnerability is introduced to the computing device by the deployed software packages, the system recalls the deployed software packages by remotely uninstalling the deployed software packages from the computing device.

Abstract: Embodiments of the present invention provide a system for intelligent processing, routing, and distributing electronic resource requests.

Abstract: A system includes a data store, memory, and hardware processor. The data store includes a dataset with first and second blocks of data. The memory stores first and second encryption algorithms. The processor receives a request to transmit the dataset to a first user's device. The processor encrypts the dataset by applying the first encryption algorithm to the first block and the second encryption algorithm to the second block, in response to determining a first level of security for the first block and a second level of security for the second block. The processor also applies an access control to the encrypted dataset, based on a characteristic of the first user, and transmits the encrypted dataset to the first user. The access control prevents a second user with a characteristic incompatible with the characteristic of the first user from accessing the encrypted dataset.

Abstract: Methods, systems, and apparatuses for blockchain-based property management are described herein. According to a first embodiment of the disclosure, a plurality of computing systems may be established at a plurality of points along a supply chain associated with the manufacture, shipment, and sale of a physical property item. At each of the plurality of points, the plurality of computing systems may identify data corresponding to the physical property item, which may be stored on a blockchain associated with a decentralized peer-to-peer (e.g., P2P) network. According to a second embodiment of the disclosure, content creator computing devices may transmit digital property item upload requests to a digital property management computing device, which may generate smart contracts corresponding to the requests. Through execution of the smart contracts, access may be granted to digital property items and fees may be provided to the content creator computing devices.

Abstract: Embodiments of the present invention provide a system for dynamically monitoring and filtering data packets associated with accessing one or more entity resources. The system is configured for identifying a data packet in a network comprising at least one data unit, determining that the data packet is attempting to access an entity resource, determining if the at least one data unit of the data packet comprises a signature bit, and allowing or denying the at least one data unit in the data packet to access the entity resource based on determining if the at least one unit comprises the signature bit.

Abstract: Embodiments of the present invention provide a system for dynamically monitoring and filtering data packets associated with accessing one or more entity resources. The system is configured for identifying a data packet in a network comprising at least a first data unit and a second data unit, determining that the first data unit and the second data unit of the data packet are attempting to access an entity resource, determining that first data associated with the first data unit and second data associated with the second data unit cannot access the entity resource at a same instance based on a first signature bit associated with the first data unit and a second signature bit associated with the second data unit, and attenuating the first data unit or the second data unit from the data packet based on the first signature bit and the second signature bit.

Abstract: A system for determining a software package for deployment based on a user request receives a request from the user to access software packages to perform a particular task. The system determines particular software packages for the user, based on an experience level of the user in performing the particular task. The system determines whether a security vulnerability is associated with the determined software packages by scanning the source code of the determined software package and searching for instances where a code portion includes open ports vulnerable to unauthorized access. If it is determined that no security vulnerability is associated with the determined software packages, the system deploys the determined software packages to a computing device from which the user sent the request.

Abstract: A system for detecting security threats in deployed software packages receives a request from a user to access software packages to perform a particular task. The system selects particular software packages based on an experience level of the user in performing the particular task. The system deploys the particular software packages to a computing device associated with the user. The system monitors the deployed software packages to determine whether a security vulnerability is introduced to the computing device by the deployed software packages. In response to determining that the security vulnerability is introduced to the computing device by the deployed software packages, the system recalls the deployed software packages by remotely uninstalling the deployed software packages from the computing device.

Abstract: A system for monitoring a computing platform configured to receive a particular metric from metrics associated with the computing platform. A plurality of layers of the computing platform are monitored. Monitoring parameters of the plurality of layers of the plurality of layers are determined. Heuristics of each monitoring parameter are determined over a time period. Monitoring packages are created from the monitoring parameters based on correlations between groups of monitoring parameters, the plurality of layers, and the metrics. Based on the particular metric, a string of monitoring packages is dynamically created from the monitoring packages. A behavior of the particular metric is determined in a configurable time duration in the future using the dynamically created string of monitoring packages. Possible failures of the computing platform related to the particular metric are predicted in an environment of the computing platform based on the determined behavior of the particular metric.

Abstract: A system includes an authorization token with a memory configured to store user attributes including a record of previous usage of the data store by the user, pre-authorization data for the user, and an access signature for accessing contents of a data store. The authorization token receives an authorization request. Session attributes are collected associated with a file path used by the user to request access to a file. A consistency measure is determined associated with whether the file path used by the user to request access to the file is consistent with a previous file path stored in a record of previous usage of the data store by the user. In response to determining that the consistency measure is greater than a threshold value, the access signature is provided to the data store, thereby granting the user access to the file.

Abstract: Systems, computer program products, and methods are described herein for optimized data archival using data detection and classification model. The present invention is configured to receive information associated with a first data element within a distributed network environment; determine a first data type associated with the first data element; determine one or more archival actions associated with the first data element; determine one or more archival requirements associated with the first data element; determine one or more utilization parameters associated with the first data element; initiate an execution of the one or more archiving actions on the first data element; determine that the one or more archival actions meet the one or more archival requirements associated with the first data element; and execute the one or more archiving actions based on at least determining that the one or more archival actions meet the one or more archival requirements.

Abstract: A system is configured for managing a plurality of files containing sensitive information associated with an organization to be sent to a particular receiver. The system is further configured to determine whether the particular receiver is an internal receiver or an external receiver with respect to the organization. If the particular receiver is an external receiver, a CRC code generated from the personal information and location coordinates of an external server where the plurality of files will be accessed is added to the plurality of files. A security code is also added to the plurality of files to facilitate that they are secured from being exposed and disposed at a retention time set by the organization. The system generates a custom compressed file from the plurality of files, configures it to be decompressed by the personal information of the external receiver, and sends it to the external receiver.

Abstract: An application may be migrated from a first to a second computing system. Configuration parameter values associated with executing the migrated application on the second computing system may be determined by computational optimization based on configuration parameter values and/or monitored performance metrics associated with the application on the first computing system. Configuration parameter values associated with executing the migrated application on the second computing system may be determined by performing simulations of the migrated application configured for execution on the second computing system based on multiple sets of configuration parameter values, monitoring performance metrics associated with the simulations, and performing computational optimization based on the multiple sets of configuration parameter values and monitored performance metrics associated with the simulations.

Abstract: A device configured to receive requirements that identifies hardware operating characteristics and to determine a performance metric for the requirements. The device is configured to generate a set of resource cluster configurations that each identify a set of hardware resources and a set of algorithms. The device is further configured to identify a first resource cluster configuration having a first performance value with the highest performance value from among the set of resource cluster configurations. The device is further configured to combine the first resource cluster configuration with a second resource cluster configuration, and to determine a second performance value for the combined resource cluster configuration.

Abstract: A system for remediating computing-related events by taking into account the past performance of remediation processes and the current run-time environment in which the remedy will be deployed. Robotic Process Automation is implemented to identify computing-related events requiring automation and to record actions that are taken to remediate the events. Robotic scripts (bots) are created based on the recorded actions and are implemented in a learning-mode, in which run-time conditions and level of performance are recorded, such that, run-time conditions and performance are determinative of which bot or combination of bots are implemented for subsequent occurrence of computing-related events. Additionally, remedial process associated with the bot(s) may be executed in a simulated environment prior to the production run-time computing environment to validate the bot and insure the likelihood of effective performance of the remedial process in the run-time production environment.

Abstract: A system for adaptive storage device utilization is provided. The system is configured to: determine a new workload request for a data structure comprising layers in a stack configured for storing data objects; analyze resource usage patterns of the layers of the data structure, the resource usage patterns comprising a rate and volume of resource consumption; simulate a change in a data storage resource demand for each of the layers of the data structure based on the new workload request by constructing a simulated model of the data structure under the new workload; calculate an adaptive data storage resource configuration based on the resource usage patterns of the layers and the constructed model; and deploy the adaptive data storage resource configuration for the data structure at a data storage location, wherein storage resources of the data storage location are allocated based on the adaptive data storage resource configuration.

Abstract: A system is configured for managing security of a database associated with an organization. A fingerprint of an authorized user is captured. The data is scrambled using a scrambling technique. A list of users authorized to access the data is received from the user. A descrambler key corresponding to the scrambling technique is generated. The descrambler key is associated with fingerprints and predetermined location coordinates of authorized users. The descrambler key is configured to descramble the data when authorized users attempt to access the data using their fingerprints at their corresponding location coordinates. The scrambled data is encrypted. The system determines whether a particular user attempting to access the data is authorized to access the data by validating a fingerprint and location coordinates of the particular user. If the particular user is authenticated, the descrambler key descrambles the data. The particular user is allowed to access the data.

Abstract: A system is configured for managing a plurality of files containing sensitive information associated with an organization to be sent to a particular receiver. The system is further configured to determine whether the particular receiver is an internal receiver or an external receiver with respect to the organization. If the particular receiver is an external receiver, a CRC code generated from the personal information and location coordinates of an external server where the plurality of files will be accessed is added to the plurality of files. A security code is also added to the plurality of files to facilitate that they are secured from being exposed and disposed at a retention time set by the organization. The system generates a custom compressed file from the plurality of files, configures it to be decompressed by the personal information of the external receiver, and sends it to the external receiver.

Abstract: A device configured to receive requirements that identifies hardware operating characteristics and to determine a performance metric based on the requirements. The device is further configured to generate a set of resource cluster configurations that each identify a set of hardware resources and a set of algorithms. The device is further configured to identify a first resource cluster configuration having a first performance value with the highest performance value from among the set of resource cluster configurations. The device is further configured to modify the first resource cluster configuration and to determine a second performance value for the modified resource cluster configuration. The device is further configured to modify the modified resource cluster configuration when the second performance value is less than the first performance value and to output the modified resource cluster configuration when the second performance value is greater than the first performance value.

Abstract: Aspects of the disclosure relate to a blockchain-based approach for managing repair of physical property items. Any full node computing device in a network, including a physical property management computing platform, may register a physical property item onto a blockchain associated with the physical property item. The computing platform may further register one or more users onto this blockchain so that the registered users can use the physical property item. As one or more users use the physical property item, the computing platform may receive real-time usage information and may notify the owner of the physical property item when the item needs to be repaired or replaced. The computing platform may then execute an event based on a response to this notification.