Abstract: A trusted component is suggested to be added to off the shelf computing systems such as PCs or smartphone providing secure functions for access management and credential protection—safe authentication, maintaining session integrity and validation of content modification. An additional advantage of the solution that it detects malware/hacking attempts on first try allowing of taking action while oblivious to the malware/hacker to avoid retaliation. The trusted component may be any type of computing system that could be regarded trusted.

Abstract: Secured automated or semi-automated systems are provided herein. In one embodiment, a sensor system includes a sensor, a legacy computing environment that is configured to communicate with the sensor and process sensor raw data output, and transmit the processed sensor output to a first network node over the network, and a trusted computing environment configured to receive raw sensor output directly from the sensor and transmit the raw sensor output to an additional network node or the first network node over the network.

Abstract: Secured automated or semi-automated systems are provided herein. In one embodiment, a sensor system includes a sensor, a legacy computing environment that is configured to communicate with the sensor and process sensor raw data output, and transmit the processed sensor output to a first network node over the network, and a trusted computing environment configured to receive raw sensor output directly from the sensor and transmit the raw sensor output to an additional network node or the first network node over the network.

Abstract: Secured automated or semi-automated systems are provided herein. In one embodiment, a sensor system includes a sensor, a legacy computing environment that is configured to communicate with the sensor and process sensor raw data output, and transmit the processed sensor output to a first network node over the network, and a trusted computing environment configured to receive raw sensor output directly from the sensor and transmit the raw sensor output to an additional network node or the first network node over the network.

Abstract: A trusted component is suggested to be added to off the shelf computing systems such as PCs or smartphone providing secure functions for access management and credential protection—safe authentication, maintaining session integrity and validation of content modification. An additional advantage of the solution that it detects malware/hacking attempts on first try allowing of taking action while oblivious to the malware/hacker to avoid retaliation.

Abstract: Secure computer architectures, systems, and applications are provided herein. An exemplary system includes a legacy environment which is an off-the-shelf computing system, a trusted environment device that communicates with a network, and at least one peripheral that is communicatively coupled with the trusted environment device or having an authentication module.

Abstract: A trusted component is suggested to be added to off the shelf computing systems such as PCs or smartphone providing secure functions for access management and credential protection—safe authentication, maintaining session integrity and validation of content modification. An additional advantage of the solution that it detects malware/hacking attempts on first try allowing of taking action while oblivious to the malware/hacker to avoid retaliation.

Abstract: Typical implementations of anomaly detection algorithms as means to detect failure of elements of the network are based on excessive processing due to AI and machine learning techniques adopted for big data analysis. Contrary to such approach, careful study of a network, particularly sensor and actuator rich network, allow for an efficient implementation—lower processing requirements and achieving better ratio of Probability-of-Detection (PD) to False-Alarm-Rate (FAR)—by segmentation of the data layers (grouping) and implement processing on smaller groups of data, eliminating unnecessary data values that add to the “noise”. Two different anomaly detection algorithm are employed: one detects anomaly of system and the other identifies defected programs, particularly by malware.

Abstract: Secured automated or semi-automated systems are provided herein. In one embodiment, a sensor system includes a sensor, a legacy computing environment that is configured to communicate with the sensor and process sensor raw data output, and transmit the processed sensor output to a first network node over the network, and a trusted computing environment configured to receive raw sensor output directly from the sensor and transmit the raw sensor output to an additional network node or the first network node over the network.

Abstract: Software programs are updated and upgraded regularly. This is a cause for infection by malware (or a faulty program). By attaining the statistical relation between the input data to the program and the output data from the program the presence of malware may be detected with high fidelity. The base for this approach is the fact the necessary and sufficient conditions to determine the working of a program is evaluation of input against output.

Abstract: A trusted component is suggested to be added to off the shelf computing systems such as PCs or smartphone providing secure functions for access management and credential protection—safe authentication, maintaining session integrity and validation of content modification. An additional advantage of the solution that it detects malware/hacking attempts on first try allowing of taking action while oblivious to the malware/hacker to avoid retaliation.

Abstract: Secured automated or semi-automated systems are provided herein. In one embodiment, a sensor system includes a sensor, a legacy computing environment that is configured to communicate with the sensor and process sensor raw data output, and transmit the processed sensor output to a first network node over the network, and a trusted computing environment configured to receive raw sensor output directly from the sensor and transmit the raw sensor output to an additional network node or the first network node over the network.

Abstract: Secured automated or semi-automated systems are provided herein. In one embodiment, a sensor system includes a sensor, a legacy computing environment that is configured to communicate with the sensor and process sensor raw data output, and transmit the processed sensor output to a first network node over the network, and a trusted computing environment configured to receive raw sensor output directly from the sensor and transmit the raw sensor output to an additional network node or the first network node over the network.

Abstract: Secure computer architectures, systems, and applications are provided herein. An exemplary system includes a legacy environment which is an off-the-shelf computing system, a trusted environment device that communicates with a network, and at least one peripheral that is communicatively coupled with the trusted environment device or having an authentication module.

Abstract: Secure computer architectures, systems, and applications are provided herein. An exemplary system includes a legacy environment which is an off-the-shelf computing system, a trusted environment device that communicates with a network, and at least one peripheral that is communicatively coupled with the trusted environment device or having an authentication module.

Abstract: Secure computer architectures, systems, and applications are provided herein. An exemplary computing system may include a trusted environment having a trusted processor and memory that provides a trusted computing environment that performs computing functions that could expose the computing device to a security risk, and a legacy environment having a secondary processor and memory for providing a legacy computing environment that manages computing functions exposed to unsecure environments.

Abstract: Secured automated or semi-automated systems are provided herein. In one embodiment, a sensor system includes a sensor, a legacy computing environment that is configured to communicate with the sensor and process sensor raw data output, and transmit the processed sensor output to a first network node over the network, and a trusted computing environment configured to receive raw sensor output directly from the sensor and transmit the raw sensor output to an additional network node or the first network node over the network.

Abstract: Secured automated or semi-automated systems are provided herein. In one embodiment, a sensor system includes a sensor, a legacy computing environment that is configured to communicate with the sensor and process sensor raw data output, and transmit the processed sensor output to a first network node over the network, and a trusted computing environment configured to receive raw sensor output directly from the sensor and transmit the raw sensor output to an additional network node or the first network node over the network.

Abstract: Secure computer architectures, systems, and applications are provided herein. An exemplary computing system may include a trusted environment having a trusted processor and memory that provides a trusted computing environment that performs computing functions that could expose the computing device to a security risk, and a legacy environment having a secondary processor and memory for providing a legacy computing environment that manages computing functions exposed to unsecure environments.

Abstract: Secure computer architectures, systems, and applications are provided herein. An exemplary computing system may include a trusted environment having a trusted processor and memory that provides a trusted computing environment that performs computing functions that could expose the computing device to a security risk, and a legacy environment having a secondary processor and memory for providing a legacy computing environment that manages computing functions exposed to unsecure environments.