Abstract: Methods and systems for detection and prevention of exploitation of embedded devices. A sensing component is configured to detect a plurality of emanated analog signals and generate one or more synchronization events. The synchronization events are used to perform one or more attestation analyses, including execution attestation, integrity attestation, and control-flow reconstruction, the results of which may be used to generate security events.

Abstract: Methods, systems, and media for inhibiting attacks on embedded devices are provided. In some embodiments, a system fur inhibiting on embedded devices is provided, the system comprises a processor that is configured to: identify an embedded device that is configured to provide one or more services to one or more digital processing devices within a communications network; receive a first firmware associated with the embedded device; generate a second firmware that is functionally equivalent to the first firmware by: determining unused code within the first firmware; removing the unused code within the second firmware; and restructuring remaining code portions of the first firmware into memory positions within the second firmware; and inject the second firmware into the embedded device.

Abstract: Methods of sensory input integrity attestation are provided. Artifacts included within devices under test inject a known noise signal into the output signal of one or more output devices that are detectable by one or more input devices (i.e., sensors) of an embedded device, and monitor the received input data. By comparing the received signal against the expected noise signal, attestation of the validity of sensory input data is possible. Such sensory input data attestation is capable either locally or using a remote attestation device with knowledge of the expected data stream.

Abstract: Methods, systems, and media for inhibiting attacks on embedded devices are provided, in some embodiments, a system for inhibiting on embedded devices is provided, the system comprises a processor that is configured to: identify an embedded device that is configured to provide one or more services to one or more digital processing devices within a communications network; receive a first firmware associated with the embedded device; generate a second firmware that is functionally equivalent to the first firmware by: determining unused code within the first firmware; removing the unused code within the second firmware; and restructuring remaining code portions of the first firmware into memory positions within the second firmware; and inject the second firmware into the embedded device.

Abstract: Methods, systems, and media for inhibiting attacks on embedded devices are provided, in some embodiments, a system for inhibiting on embedded devices is provided, the system comprises a processor that is configured to: identify an embedded device that is configured to provide one or more services to one or more digital processing devices within a communications network; receive a first firmware associated with the embedded device; generate a second firmware that is functionally equivalent to the first firmware by: determining unused code within the first firmware; removing the unused code within the second firmware; and restructuring remaining code portions of the first firmware into memory positions within the second firmware; and inject the second firmware into the embedded device.

Abstract: A method for identifying a target molecular profile associated with a target cell population. A set of reference molecular profiles and a set of sample molecular profiles are received. Each sample molecular profile is associated with a sample cell from a sample cell population, which includes a mixture of target cells and reference cells. Each of the sample molecular profiles is indicative of a respective target molecular profile. An average target molecular profile is calculated. A proportion value is calculated for each sample molecular profile. A respective target molecular profile is calculated for each sample molecular profile based on the respective calculated proportion value and a closest similarity to the average target molecular profile.