Systems, methods, and software for data obfuscation frameworks for user applications are provided herein. An exemplary method includes providing user content to a classification service configured to process the user content to classify portions of the user content as comprising sensitive content, and receiving from the classification service indications of the user content that contains the sensitive content. The method includes presenting graphical indications in a user interface to the user application that annotate the user content as containing the sensitive content, and presenting obfuscation options in the user interface for masking the sensitive content within at least a selected portion among the user content. Responsive to a user selection of at least one of the obfuscation options, the method includes replacing associated user content with obfuscated content that maintains a data scheme of the associated user content.

Systems and methods generate the design of a tiled multi-core system-on-chip (SoC). Design specification defining a multitude of cores to be used in the tiled multi-core SoC is analyzed and a multitude of subsystems based on the plurality of cores is built. The subsystems are augmented with one or more network adapters to generate the design of the tiled multi-core SoC. To achieve this, a multitude of IP blocks defined by the specification are retrieved from a design library. Design metadata associated with the IP blocks are extracted. Next, a standardized interface is generated for each of the IP blocks using the design metadata. Thereafter, a bus interface is generated for the IP blocks. Next, a tiled synthesizable register-transfer level code for the SoC design is generated in accordance with received configuration information.

A method for providing a secret unique key for a volatile FPGA uses layers of encryption with different and independent keys and the possibility to store auxiliary data in the configuration memory. The configuration may be stored in a bit-file protected using hardwired bit-file encryption. The configuration includes a security block with an embedded group key used for protecting the auxiliary data. In the beginning, the auxiliary data may include a specific field with null identifier, which indicates that the device has not been initialized. During the initialization, the device generates a unique key and sets the field to specific identifier, which indicates that the device has been initialized, and replaces the original auxiliary data in the non-volatile configuration memory with a new auxiliary data constructed from these values. During normal operation this key is fetched from the auxiliary data and used to build a root-of-trust.

Systems and methods are described herein to enable the automated and/or user-guided creation, collection, and curating of digital content items that represent a user's experiences, personality, interactions, and legacy. A digital rights trustee may be assigned to control access to the content after the death of the user. A user may create a death file with content items to be handled in a specific (e.g., user-specified) manner after the death of the user. For example, the contents of the death file may be released to a family member or deleted by the system entirely. Content items may be secured or encrypted to allow access via the presentation of steganographically encoded objects. An AI-based digital representative may use a machine learning model to act on behalf of a user to create, share, and post content items to a website or social media platform.

An implementation of the present application provides a computer—implemented method to increase the security of a blockchain—implemented transaction, the transaction including participation from a plurality of participating nodes, each participating node participating as a message originator, selector, and propagator. The method, implemented at a participating node, includes: receiving ciphertext from a prior node and determining whether the participating node is a selector node for said ciphertext received from the prior node. When the participating node is the selector node for said ciphertext, the method includes selecting a subset of said ciphertext, decrypting the selected subset of said ciphertext to provide opted ciphertext and transmitting said opted ciphertext to the next node. When the participating node is other than the selector node for said ciphertext, the method includes decrypting said ciphertext received from the prior node and transmitting the decrypted ciphertext to the next node.

Systems and methods are disclosed for securely communicating sensitive such as an identifier. A user device may receive a first message comprising a terminal type indicator. For certain values of the terminal type indicator, the user device may be configured to transmit a request message comprising a first identifier and an encrypted identifier. For other values of the terminal type indicator, the user device may be configured to generating an obfuscated identifier based at least in part on a first portion of a second identifier and a second portion of the encrypted identifier. The user device may then transmit a request message that includes the obfuscated identifier and the encrypted identifier.

A method, and system for a distributed artificial intelligence architecture may be shown and described. An embodiment may present an exemplary distributed explainable neural network (XNN) architecture, whereby multiple XNNs may be processed in parallel in order to increase performance. The distributed architecture may include a parallel execution step which may combine parallel XNNs into an aggregate model by calculating the average (or weighted average) from the parallel models. A distributed hybrid XNN/XAI architecture may include multiple independent models which can work independently without relying on the full distributed architecture. An exemplary architecture may be useful for large datasets where the training data cannot fit in the CPU/GPU memory of a single machine. The component XNNs can be standard plain XNNs or any XNN/XAI variants such as convolutional XNNs (CNN-XNNs), predictive XNNS (PR-XNNs), and the like, together with the white-box portions of grey-box models like INNs.

Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

A novel architecture for a data sharing system (DSS) is disclosed and seeks to ensure the privacy and security of users' personal information. In this type of network, a user's personally identifiable information is stored and transmitted in an encrypted form, with few exceptions. The only key with which that encrypted data can be decrypted, and thus viewed, remains in the sole possession of the user and the user's friends/contacts within the system. This arrangement ensures that a user's personally identifiable information cannot be examined by anyone other than the user or his friends/contacts. This arrangement also makes it more difficult for the web site or service hosting the DSS to exploit its users' personally identifiable information. Such a system facilitates the encryption, storage, exchange and decryption of personal, confidential and/or proprietary data.

A system for protected data storage in a data memory of a computing device includes an encoder and a decoder. The encoder encrypts unencrypted data using encryption information to generate encrypted data, and stores the encrypted data and the encryption information in data memory. The decoder accesses the encrypted data and the encryption information from the data memory, and decrypts the encrypted data using the encryption information to re-generate the unencrypted data. Each time the unencrypted data is read from data memory or the unencrypted data is to be written to the data memory, the encoder re-encrypts the unencrypted data using newer encryption information to generate newer encrypted data, and replaces previous encrypted data and previous encryption information with the newer encrypted data and the newer encryption information, respectively, in the data memory. The encoder and the decoder are integrated, to operate in a single thread of execution.