Abstract: A device for counteracting side-channel attacks (SCA), including a machine learning unit (MLU) that is connectable to a cryptographic core. The MLU includes: a feature extractor unit configured to extract selected information-sensitive signals from the cryptographic core and to generate machine learning features based on the selected information-sensitive signals; and a machine learning-based power estimator unit configured to output cumulative information-sensitive energy based on the generated machine learning features. The device further includes a power compensation unit that is configured to cancel out the cumulative information-sensitive energy so as to counteract side-channel attacks (SCA).

Abstract: A device for counteracting side-channel attacks (SCA), including a machine learning unit (MLU) that is connectable to a cryptographic core. The MLU includes: a feature extractor unit configured to extract selected information-sensitive signals from the cryptographic core and to generate machine learning features based on the selected information-sensitive signals; and a machine learning-based power estimator unit configured to output cumulative information-sensitive energy based on the generated machine learning features. The device further includes a power compensation unit that is configured to cancel out the cumulative information-sensitive energy so as to counteract side-channel attacks (SCA).

Abstract: Disclosed is a sensor fabric for detecting an attack on transistors. The fabric includes a plurality of sensor clusters. Each sensor cluster comprises a plurality of photodetectors and transistors, each photodetector being disposed next to a respective said transistor, a standard cell and an aggregator. The standard cell comprising a thresholding comparator for comparing a first input from a first group of the photodetectors of the respective cluster and a second input from a second group of the photodetectors of the respective cluster, the first input and second input being proportional to incident light sensed by the respective photodetectors, and flipping an output of the standard cell if a difference between the first input and second input exceeds a predetermined threshold. The aggregator aggregates the outputs from the clusters to produce an aggregated output, and triggering an alarm on detection of an attack based on the aggregated output.

Abstract: A cell logic structure for a battery-indifferent or pure energy harvesting multi-mode system, a battery-indifferent or pure energy harvesting multi-mode system, a method of operating a cell logic structure for a battery-indifferent or pure energy harvesting multi-mode system, and a method of operating battery-indifferent or pure energy harvesting multi-mode system.

Abstract: A cell logic structure for a battery-indifferent or pure energy harvesting multi-mode system, a battery-indifferent or pure energy harvesting multi-mode system, a method of operating a cell logic structure for a battery-indifferent or pure energy harvesting multi-mode system, and a method of operating battery-indifferent or pure energy harvesting multi-mode system.

Abstract: A cell logic structure for a battery-indifferent or pure energy harvesting multi-mode system, a battery-indifferent or pure energy harvesting multi-mode system, a method of operating a cell logic structure for a battery-indifferent or pure energy harvesting multi-mode system, and a method of operating battery-indifferent or pure energy harvesting multi-mode system.

Abstract: A cell logic structure for a battery-indifferent or pure energy harvesting multi-mode system, a battery-indifferent or pure energy harvesting multi-mode system, a method of operating a cell logic structure for a battery-indifferent or pure energy harvesting multi-mode system, and a method of operating battery-indifferent or pure energy harvesting multi-mode system.