Abstract: A method of software article protection and transformation includes: retrieving a software article; identifying control flow addressing associated with the software article; removing at least a portion of the control flow addressing; and saving the at least a portion of the control flow addressing from the software article, wherein removing the at least a portion of the control flow addressing comprises replacing call and return functions with protected execution instructions, wherein the protected execution instructions replace call functions by: identifying, in a lookup table, an entry associated with a current instruction; and pushing a return address associated with the current instruction to a secure return stack; and wherein the protected execution instructions replace return functions by: popping the return address from the secure return stack; encrypting the at least a portion of the control flow addressing; and saving the at least a portion of the control flow addressing to a separate software articl

Abstract: An automated method that generates crowd-sourced event notifications includes: retrieving sensor data from mobile devices; detecting events based on the retrieved sensor data; and generating a set of summary nodes based on the events, where each summary node is associated with multiple events. A system that generates crowd-sourced event notifications includes: multiple mobile devices, each having at least one sensor, each mobile device identifies events using calculations based on sensor data and generates a notification for each identified event; and an analytics server that generates a set of summary nodes based on the identified events, each summary node associated with multiple events. An automated method that generates event notifications includes: retrieving sensor data; calculating a set of statistical values based on the sensor data; comparing the statistical values to at least one threshold; and generating an event notification when the threshold is exceeded by any of the statistical values.

Abstract: Described is a plastic hyper-dimensional memory system having neuronal layers. The system includes an input layer for receiving an input and an address matrix for generating a working pre-image vector from the input. A hidden layer is included for transforming the working pre-image vector into a working vector. A data matrix transforms the working vector into a data pre-image vector. Further, the hidden layer performs neurogenesis when a novel input is detected based on the working pre-image vector, where the neurogenesis comprises adding or deleting address units. Novelty detection includes using a set of reinforcement units. Finally, an output layer generates a data vector based on the data pre-image vector.

Abstract: A method of software protection and transformation includes: retrieving a software article; identifying control flow addressing associated with the software article; removing at least a portion of the control flow addressing; and saving the at least a portion of the control flow addressing to a separate software article. A protected software article generated by: retrieving a software article; removing at least one control flow instruction from the software article and adding remaining instructions to the protected software article; adding the control flow instruction to a protected execution (PE) file; and storing the protected software article and the PE file. A method of managing control flow instructions to provide protected execution of a software article includes: receiving a PE instruction; fetching a base address associated with the software article; fetching a program counter instruction address; and looking up a table entry based on the base address and an offset.

Abstract: An automated method that generates crowd-sourced event notifications includes: retrieving sensor data from mobile devices; detecting events based on the retrieved sensor data; and generating a set of summary nodes based on the events, where each summary node is associated with multiple events. A system that generates crowd-sourced event notifications includes: multiple mobile devices, each having at least one sensor, each mobile device identifies events using calculations based on sensor data and generates a notification for each identified event; and an analytics server that generates a set of summary nodes based on the identified events, each summary node associated with multiple events. An automated method that generates event notifications includes: retrieving sensor data; calculating a set of statistical values based on the sensor data; comparing the statistical values to at least one threshold; and generating an event notification when the threshold is exceeded by any of the statistical values.