Circuits and methods are provided for detecting, identifying and/or removing undesired content. According to one embodiment, a method for performing content scanning of content objects is provided. A content object that is to be scanned is stored by a general purpose processor to a system memory of the general purpose processor. Content scanning parameters associated with the content object are set up by the general purpose processor. Instructions from a signature memory of a co-processor that is coupled to the general purpose processor are read by the co-processor based on the content scanning parameters. The instructions contain op-codes of a first instruction type and op-codes of a second instruction type. Those of the instructions containing op-codes of the first instruction type are assigned by the co-processor to a first instruction pipe of multiple instruction pipes of the co-processor for execution. An instruction of the assigned instructions containing op-codes of the first instruction type is executed by the first instruction pipe including accessing a portion of the content object from the system memory.

Embodiments relate to systems, devices, and computer-implemented methods for preventing determination of previous access of sensitive content by receiving, from a user, a request for content at a device in an information centric network, where a cached version of the content is locally stored at the device; initiating a time delay based on a determination that the user has not previously requested the content; and transmitting the cached version of the content to the user after the time delay.

In an example embodiment, a system determines a set of instructions from the available instructions for a computer application. The determined set of instructions provides specific functionality of the computer application. The system may determine the set of instructions by performing functional testing and negative testing on the specific functionality. The system may reorganize and randomize the set of instructions in memory and write the reorganized set of instructions to a smaller memory space. For each available instruction not in the set of instructions, the system changes the respective instruction to inoperative to prevent execution of the respective instruction. The system may change the respective instruction to inoperative by overwriting the instruction with a NOP instruction. The system then captures a memory address of the computer application being accessed at runtime. The system may declare a security attack if the captured memory address matches a memory address for an inoperative instruction.

Methods and systems are provided that are effective to generate an alarm for a vehicle. The methods include receiving, by a device, a first sensor value from a first sensor for the vehicle. The methods further include receiving, by the device, a second sensor value from a second sensor for the vehicle. The methods further include retrieving, by the device, an instruction from a memory disposed in the vehicle while the memory is in a write-protected mode. The methods further include evaluating, by the device, the first sensor value and the second sensor value based on the instruction. The methods further include determining, by the device, that the first sensor value is outside a range associated with the first sensor based on the evaluation. The methods further include transforming, by the device, the determination into an alarm.

A method for updating process objects of an automation project stored in an engineering system, wherein an automation device is designed and/or configured via the engineering system to control a technical process and wherein, furthermore, the technical process to be controlled can be operated and monitored via an operator system in which changes to process objects made during the run-time are not lost but secured and are automatically “updated” or “traced” in the engineering system.

Provided is an on-chip monitor circuit mounted on a semiconductor chip that is equipped with a security function module for performing a security function process on an input signal and outputting a security function signal, the on-chip monitor circuit comprising a monitor circuit for monitoring signal waveforms of the semiconductor chip, wherein the circuit is provided with a first storage means for storing data that designates a window period in which to perform a test of the semiconductor chip, and a control means for performing control to operate the circuit during the window period, when a prescribed test signal is inputted to the security function module. By using the on-chip monitor circuit in a semiconductor chip of which security is required, security attacks, e.g., a Trojan horse or the like, intended to embed a malicious circuit in the production stage of security function module-equipped semiconductors chips, can be prevented.

In general, in one aspect, a method includes receiving software code with an invalid characteristic, repeatedly attempting to execute the software code with the invalid characteristic on a device, and in response to successful execution of the software code with the invalid characteristic, taking an action. The action may include an action to remediate the device.

Examples relate to model-based computer attack analytics orchestration. In one example, a computing device may: generate, using an attack model that specifies behavior of a particular attack on a computing system, a hypothesis for the particular attack, the hypothesis specifying, for a particular state of the particular attack, at least one attack action; identify, using the hypothesis, at least one analytics function for determining whether the at least one attack action specified by the hypothesis occurred on the computing system; provide an analytics device with instructions to execute the at least one analytics function on the computing system; receive analytics results from the analytics device; and update a state of the attack model based on the analytics results.

Examples relate to model-based computer attack analytics orchestration. In one example, a computing device may: generate, using an attack model that specifies behavior of a particular attack on a computing system, a hypothesis for the particular attack, the hypothesis specifying, for a particular state of the particular attack, at least one attack action; identify, using the hypothesis, at least one analytics function for determining whether the at least one attack action specified by the hypothesis occurred on the computing system; provide an analytics device with instructions to execute the at least one analytics function on the computing system; receive analytics results from the analytics device; and update a state of the attack model based on the analytics results.

Some examples relate generally to managing and storing data, and more specifically to the real-time detection of ransomware, system (or insider) threats, or the misappropriation of credentials by using file system audit events.