Embodiments of the present invention provide a system for facilitating a secure way to allow primary users and secondary users to perform interactions remotely via an automated machine, such as an automated teller machine (ATM). In particular, the system may assign exclusive control over an automated device to a primary user via a computing device connected to the same local network or virtual private network as the automated machine, and may allow the primary user to communicate via the automated machine with a secondary user who wishes to complete one or more resource interactions. In some embodiments, the system may invoke one or more auxiliary devices on the same network to complete the interaction.

A method including determining, by a device, a sharing decryption key based at least in part on an assigned private key associated with the device and a group access public key associated with a group; decrypting, by the device, a group access private key associated with the group by utilizing the sharing decryption key; and decrypting, by the device, encrypted content included in a folder associated with the group based at least in part on utilizing the group access private key associated with the group. Various other aspects are contemplated.

In one embodiment, a processor includes a memory hierarchy and a core coupled to the memory hierarchy. The memory hierarchy stores encrypted data, and the core includes circuitry to access the encrypted data stored in the memory hierarchy, decrypt the encrypted data to yield decrypted data, perform an entropy test on the decrypted data, and update a processor state based on a result of the entropy test. The entropy test may include determining a number of data entities in the decrypted data whose values are equal to one another, determining a number of adjacent data entities in the decrypted data whose values are equal to one another, determining a number of data entities in the decrypted data whose values are equal to at least one special value from a set of special values, or determining a sum of n highest data entity value frequencies.

Nested namespaces for selective content sharing.

Methods, systems, and devices for authenticating software images are described. A system may include one or more control units that use software images for managing different functions of the system. The system may also include a secure storage device configured to validate or authenticate the software images used by the different control units of the system. A software image of a control unit may be authenticated by generating a first hash associated with a portion of its underlying source code and generating a second hash associated with a corresponding portion of the source code of the copy of the software image stored to the secure storage device. Different patterns of the source code of the software images may be used to generate the hashes. The first hash and second hash may be compared, and the software image may be authenticated based on the hashes matching.

Systems and methods are described for providing secure storage of data sets while enabling efficient deduplication of data. Each data set can be divided into fixed-length blocks. The plaintext of each block can be convergently encrypted, such as by using a hash of the plaintext as an encryption key, to result in block-level ciphertext that can be stored. If two data sets share blocks, the resulting block-level ciphertext can be expected to overlap, and thus duplicative block-level ciphertexts need not be stored. A manifest can be created to facilitate re-creation of the data set, which manifest identifies the block-level ciphertexts of the data set and a key by which each block-level ciphertext was encrypted. By use of block-level encryption, nearly identical data sets can be largely deduplicated, even if they are not perfectly identical.

An example method includes determining, based on a static scan, that a software container image or an intended execution environment of the software container image meets one or more first criteria required to exploit a software vulnerability. Based on the determining, runtime behavior of a software container instantiated from the software container image is monitored. The monitoring including determining whether the software container meets one or more second criteria required to exploit the software vulnerability, wherein the one or more first second criteria differs from the one or more second criteria. Based on the runtime monitoring, a risk score that indicates a magnitude of a risk the software vulnerability poses for the software container is determined, and a notification of the risk score is provided. A system for assessing software containers for vulnerabilities is also disclosed.

There is provided a cryptographic key determination device for determining one or more cryptographic keys in a cryptographic device, the cryptographic device being configured to execute one or more test programs, the cryptographic device comprising one or more components (11-i), each component (11-i) being configured to generate static and dynamic data, the dynamic data being generated in response to the execution of the one or more test programs, wherein the cryptographic key determination device comprises: a data extraction unit configured to extract at least one part of the static data and at least one part of the dynamic data generated by the one or more components (11-i), and a key generator configured to combine the at least one part of static data and the at least one part of dynamic data, and to determine the one or more cryptographic keys by applying a cryptographic function to the combined data.

The disclosure herein describes managing defects in a model training pipeline. A synthetic data set is generated that is associated with a defect type and a lifecycle stage of the model training pipeline, and baseline performance metrics associated with the defect type are generated. Based on a code change to the pipeline, a test model is trained using the pipeline and the synthetic data set, and test performance metrics are collected based on the test model and associated with the defect type. Based on comparing the baseline performance metrics and the test performance metrics, a defect of a particular defect type is identified in the pipeline. An indicator of the defect is provided that includes the defect type and the lifecycle stage with which the synthetic data set is associated, whereby a defect correction process is enabled to remedy the defect based on the associated defect type and the lifecycle stage.

A computer device may include a memory storing instructions and processor configured to execute the instructions to host a network function container that implements a microservice for a network function in a wireless communications network, wherein the network function container is deployed by a container orchestration platform; host a service proxy container associated with the network function container, wherein the service proxy container is deployed by the container orchestration platform; and configure the hosted service proxy container to apply a wireless network policy to the microservice for the network function. The processor may be further configured to intercept messages associated with the microservice for the network function using the configured service proxy container; and apply the wireless network policy to the intercepted messages using the configured service proxy container.