According to an example implementation, a computer-readable storage medium, computer-implemented method and a system are provided to receive a first class, the first class indirectly implementing a first interface, wherein the first class extends a second class that directly implements the first interface, identify one or more directly implemented methods within the first class, determine a method signature for one or more of the directly implemented methods, estimate that the first class indirectly implements the first interface based on the method signatures for the one or more directly implemented methods, and instrument the first class based on the estimating that the first class indirectly implements the first interface.

A computer-implemented method for providing a secured updated kernel module of an electronic device, wherein the method comprises the following steps: inserting by a computer a chameleon hash of a kernel module, a kernel module private key of the kernel module and an updated kernel module of the kernel module in a chameleon hash collision function thereby obtaining a collision data, combining by the computer, the updated kernel module with the collision data obtaining thereby a secured updated kernel module. Additionally, it is further described a computer-implemented method for secure updating at least one kernel module of an electronic device, a system comprising a server and an electronic device, computer programs and a computer-readable medium.

Many mobile devices are used for documenting different scenarios that are encountered by the users as they go about their daily lives. In many situations, a mobile device may be used to document the scenario. This data may be of significant forensic interest to an investigator. In many situations, the owner of the phone may be willing to provide the investigator access to this data (through a documented consent agreement). Such consent is usually contingent upon the fact that not all the data available on the phone may be extracted for analysis, either due to privacy concerns or due to personal reasons. Courts have also opined in several cases that investigators must limit data extracted, so as to focus on only “relevant information” for the investigation at hand. Thus, only selective (or filtered) data should be extracted as per the consent available from the witness/victim (user). Described herein is the design and implementation of such a targeted data extraction system (TDES) for mobile devices. The TDES assumes consent of the user and implements state of the art filtering using machine learning techniques. This system can be used to identify and extract selected data from smart phones, in real time at the scene of the crime.

Diagnostics and boot up for AV hardware and software of a computer system of an autonomous vehicle may be performed based at least on receiving a shutdown or power off indication, then a computing state of the computer system may be suspended with the computer system entering a low-power mode. The suspended computing state can be rapidly restored without requiring a reboot and diagnostics for key-on. To ensure the integrity of the saved computing state, the computer system may exit the low-power mode, rerun the diagnostics, reload the programs, and then reenter the low-power mode. Restoring the suspended computing state may be triggered by a user inserting an ignition key, pressing a button to turn on the vehicle, opening a door to the vehicle, remotely unlocking the vehicle, remotely starting the vehicle, etc.

The present disclosure presents an exemplary tier-based reconfigurable security architecture that can adapt to different use-case scenarios by selecting security tiers and configure parameters in each security tier based on system requirements. An exemplary system comprises a security agent that is configured to monitor system characteristics of embedded components on a system-on-chip and communicate a status of the system characteristics to a reconfigurable service engine integrated on the system-on-chip, such that the reconfigurable service engine is configured to activate one of a plurality of tiers of security based at least upon the status of the system characteristics communicated.

Bootstrapping a microservices container registry. A computing system node receives an installation package. The receiving computing system node bootstraps an initial invocation of the microservice by first installing a local container registry from the installation package and then by installing the microservice from the installation package. The installation package contains additional components that can be extracted, installed and invoked by executing the microservice at the computing system node after extracting from the local container registry. The installation package is generated by any node of the computing system and contains code corresponding to infrastructure microservices that are installed before invoking microservices that depend on the infrastructure. Temporary domain name services are installed from the installation package at a node-local IP address. The temporary domain name services are switched over to a different domain name service at a different IP address. A second computing system node is designated as a failover node.

Systems and methods are provided for receiving a request for data associated with a particular functionality of an application, identifying a first attribute for which data is to be generated to fulfill the request, and determining that the first attribute corresponds to data to be generated by a first machine learning model. The systems and methods further providing for executing a view or procedure to generate data for input to the first machine learning model, inputting the generated data into the first machine learning model, and receiving output from the first machine learning model. The output is provided in response to the request for data associated with the particular functionality of the application.

The described technology is directed towards a pre-child user interface element in a user interface tree that draws before the parent element draws, (and thus before any conventional child element of the parent draws). For example, based upon current state data such as whether the parent element has focus, the pre-child may draw a highlight or the like before (so as to be beneath) drawing the representation of the parent element, to indicate the focused state (or and/or other current state or states). The user interface tree maintains a property that it is composable because the parent user interface element code is independent of what any of its pre-child element or pre-children elements do when invoked.

A strengthened glass having a stress profile that differs from error-function and parabolic profiles. Stress relaxation and thermal annealing/diffusion effects, which occur at longer ion exchange and/or anneal times increase the depth of compression of the surface layer. A method of achieving these effects is also provided.

According to one or more embodiments, a system can comprise a processor and a memory that can store executable instructions that, when executed by the processor, facilitate performance of operations. The operations can include establishing a wireless connection to a wireless network. The operations can further include receiving, via the wireless connection, data from a gateway device, that has been communicated via a network device of a publicly accessible network, wherein the data has been compared, by the gateway device, to a template of anomalous activity.