Abstract: Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user. The identification confidence score is based on one or more characteristics of the user. Using a machine learning model for the user, user activity of the user is monitored for anomalous activity to generate first data. Based on the monitoring, differences between the first data and historical utilization data for the user determine whether the user's utilization of the one or more resources is anomalous. When the user's utilization of the one or more resource is anomalous, the user's access to the one or more resource is removed.

Abstract: Data is received as part of an authentication procedure to identify a user. Such data characterizes a user-generated biometric sequence that is generated by the user interacting with at least one input device according to a desired biometric sequence. Thereafter, using the received data and at least one machine learning model trained using empirically derived historical data generated by a plurality of user-generated biometric sequences (e.g., historical user-generated biometric sequences according to the desired biometric sequence, etc.), the user is authenticated if an output of the at least one machine learning model is above a threshold. Data can be provided that characterizes the authenticating. Related apparatus, systems, techniques and articles are also described.

Abstract: Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user. The identification confidence score is based on one or more characteristics of the user. Using a machine learning model for the user, user activity of the user is monitored for anomalous activity to generate first data. Based on the monitoring, differences between the first data and historical utilization data for the user determine whether the user's utilization of the one or more resources is anomalous. When the user's utilization of the one or more resource is anomalous, the user's access to the one or more resource is removed.

Abstract: Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user. The identification confidence score is based on one or more characteristics of the user. Using a machine learning model for the user, user activity of the user is monitored for anomalous activity to generate first data. Based on the monitoring, differences between the first data and historical utilization data for the user determine whether the user's utilization of the one or more resources is anomalous. When the user's utilization of the one or more resource is anomalous, the user's access to the one or more resource is removed.

Abstract: Data is received as part of an authentication procedure to identify a user. Such data characterizes a user-generated biometric sequence that is generated by the user interacting with at least one input device according to a desired biometric sequence. Thereafter, using the received data and at least one machine learning model trained using empirically derived historical data generated by a plurality of user-generated biometric sequences (e.g., historical user-generated biometric sequences according to the desired biometric sequence, etc.), the user is authenticated if an output of the at least one machine learning model is above a threshold. Data can be provided that characterizes the authenticating. Related apparatus, systems, techniques and articles are also described.

Abstract: Data is received as part of an authentication procedure to identify a user. Such data characterizes a user-generated biometric sequence that is generated by the user interacting with at least one input device according to a desired biometric sequence. Thereafter, using the received data and at least one machine learning model trained using empirically derived historical data generated by a plurality of user-generated biometric sequences (e.g., historical user-generated biometric sequences according to the desired biometric sequence, etc.), the user is authenticated if an output of the at least one machine learning model is above a threshold. Data can be provided that characterizes the authenticating. Related apparatus, systems, techniques and articles are also described.

Abstract: Data is received as part of an authentication procedure to identify a user. Such data characterizes a user-generated biometric sequence that is generated by the user interacting with at least one input device according to a desired biometric sequence. Thereafter, using the received data and at least one machine learning model trained using empirically derived historical data generated by a plurality of user-generated biometric sequences (e.g., historical user-generated biometric sequences according to the desired biometric sequence, etc.), the user is authenticated if an output of the at least one machine learning model is above a threshold. Data can be provided that characterizes the authenticating. Related apparatus, systems, techniques and articles are also described.

Abstract: Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user. The identification confidence score is based on one or more characteristics of the user. Using a machine learning model for the user, user activity of the user is monitored for anomalous activity to generate first data. Based on the monitoring, differences between the first data and historical utilization data for the user determine whether the user's utilization of the one or more resources is anomalous. When the user's utilization of the one or more resource is anomalous, the user's access to the one or more resource is removed.

Abstract: The present invention is to provide a hardware password accessing method, which is capable of reading a password of at least one hardware (such as a hard disk) disposed on a computer and storing the password to a RAM before the computer entering a standby mode from a working status and also capable of retrieving the password of the hardware from the RAM to restart the hardware once the computer being restored to the working status from the standby mode, so as to resolve the conventional problems caused by storing the hardware password to a CMOS.

Abstract: A global multimedia server, local multimedia server and multimedia client create a universal communication system allowing any consumer to engage a plethora of media content to any end user. The global media server may be located through a publicly accessible IP address using a FQDN (fully qualified domain name) based on DNS. The delivery of multimedia calls or messages may also be achieved by using an E.164 number as universal resource identifier. PBX features allow for the manipulation of multimedia content and the use of mixed and multiple media during a communication or the creation of spontaneous or scheduled conferences that are both collaborative and interactive.

Abstract: The present invention is to provide a hardware password accessing method, which is capable of reading a password of at least one hardware (such as a hard disk) disposed on a computer and storing the password to a RAM before the computer entering a standby mode from a working status and also capable of retrieving the password of the hardware from the RAM to restart the hardware once the computer being restored to the working status from the standby mode, so as to resolve the conventional problems caused by storing the hardware password to a CMOS.

Abstract: A method for preventing software from being wrongly burned is proposed, such that the software can be correctly burned into a storage unit of a device utilizing and corresponding to the software, so as to provide normal operation of the software. First, both of the software and the storage unit are provided with a recognition code corresponding to the foregoing device. Then, it is determined whether the recognition code of the software is consistent with that of the storage unit before performing a burning process. If the codes are consistent, then the software is burned into the storage unit, whereas if the codes are inconsistent, then the burning process is not performed. Accordingly, in the present invention, the recognition code corresponding to the device is simultaneously provided to the software and the storage unit and the recognition codes are compared before performing the burning process. The burning process is performed only if the recognition codes are consistent.

Abstract: A data-burning method and system thereof based on auto-detection of computer platform are proposed. The method and system is applicable to a computer platform main unit, wherein the computer platform main unit has a programmable memory unit thereon, so as to burn a set of digital data into the programmable memory unit. The present invention is characterized in that different types of computer platforms can be automatically detected to enable corresponding digital data be burned into the programmable memory unit provided on the computer platform main units. Therefore, burning of an incorrect BIOS programming data code onto the computer platform as a result of human error is prevented, so that reliability and fabrication efficiency of a computer main system circuit board can be improved.

Abstract: This invention relates to a wireless transmission system, more particularly, to a wireless transmission system, which is used in the foundation. The present invention uses the first wireless network interface, which is assembled in the mobile computer and the second wireless network interface, a microprocessor, and a bridge that is assembled in the foundation to transmit signals. The signals can be transmitted between the mobile computer and the foundation by using the first wireless network interface and the second wireless network interface. The bridge is used to collect the addresses and the signals, which are transmitted from the devices that are connected with the foundation. These addresses and the signals will be transformed to become the wireless signals by using the microprocessor.

Abstract: This invention relates to a wireless transmission system, more particularly, to a wireless transmission system, which is used in the foundation. The present invention uses the first wireless network interface, which is assembled in the mobile computer and the second wireless network interface, a microprocessor, and a bridge that is assembled in the foundation to transmit signals. The signals can be transmitted between the mobile computer and the foundation by using the first wireless network interface and the second wireless network interface. The bridge is used to collect the addresses and the signals, which are transmitted from the devices that are connected with the foundation. These addresses and the signals will be transformed to become the wireless signals by using the microprocessor.

Abstract: A version identification device with the A/D conversion function and its method. The invention includes a voltage dividing unit and a processing device. The voltage dividing unit is installed on an electronic device. The version of the electronic device is converted into analog signals using the voltage dividing unit. The analog signal is then sent to the processing device to be converted into a digital signal. The digital signal is then computed and identified to achieve the goal of identifying the version of the electronic device.

Abstract: An in-line coupler including a base plate for connecting a first connector and a second connector. The base plate has a first plate surface and a second plate surface. A number of nodes are provided at a first end of the base plate for connecting the first connector on the first plate surface and at a second end of the base plate for connecting the second connector on the second plate surface. A plurality of transmission lines are provided on the base plate for connecting the nodes at the first end to the nodes at the second end. The transmission lines have a compact configuration to reduce their mutual interference, thus reducing the attenuation of signals therein.

Abstract: A surface mount box including a substrate and a cover is disclosed. The substrate has four side walls on a rectangular base. Coupling means are formed on exterior surfaces of two of the side walls to connect with other surface mount boxes for expansion. An opening on one of the side walls provides a passage for a transmission line to go into the surface mount box. Another opening is formed on one of the side walls to receive a connector port. The cover has a number of coupling elements and a plug on a base plate. When the cover is fastened to the substrate by the coupling elements, the plug inserts into the opening for the transmission line and confines the transmission line within a small region.