Abstract: Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. A user utilizes a desktop computer, a laptop computer, a smartphone, a tablet, or other electronic device, to interact with a banking website or application, a retailer website or application, or other computerized service. Input-unit interactions are monitored, logged, and analyzed. Based on several types of analysis of the input-unit interactions, a score is generated to reflect fraud-relatedness or attack-relatedness of the input-unit interactions. Based on the score, the system estimates or determines whether the user is an attacker, and initiates attack-mitigation operations or fraud-mitigation operations.

Abstract: Systems, devices, and methods for identifying a region of interest are provided. A plurality of skeletal landmarks may be identified from an image received from an imaging device. A pose of a patient may be determined based on the plurality of skeletal landmarks. A region of interest may be identified on the patient based on the determined pose. Instructions may be automatically provided to the controller to adjust a pose of a surgical instrument relative to the region of interest. The plurality of skeletal landmarks may be tracked for movement. The region of interest may be updated when movement of the plurality of skeletal landmarks is detected.

Abstract: Devices, systems, and methods of detecting a vishing attack, in which an attacker provides to a victim step-by-step over-the-phone instructions that command the victim to log-in to his bank account and to perform a dictated banking transaction. The system monitors transactions, online operations, user interactions, gestures performed via input units, speed and timing of data entry, and user engagement with User Interface elements. The system detects that the operations performed by the victim, follow a pre-defined playbook of a vishing attack.

Abstract: Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. A user utilizes a desktop computer, a laptop computer, a smartphone, a tablet, or other electronic device, to interact with a banking website or application, a retailer website or application, or other computerized service. Input-unit interactions are monitored, logged, and analyzed. Based on several types of analysis of the input-unit interactions, a score is generated to reflect fraud-relatedness or attack-relatedness of the input-unit interactions. Based on the score, the system estimates or determines whether the user is an attacker, and initiates attack-mitigation operations or fraud-mitigation operations.

Abstract: Method, device, and system of detecting a mule bank account, or a bank account used for terror funding or money laundering. A method includes: monitoring interactions of a user with a computing device during online access with a bank account; and based on the monitoring, determining that the bank account is utilized as a mule bank account to illegally receive and transfer money, or is used for money laundering or terror funding. The method takes into account one or more indicators, such as, utilization of a remote access channel, utilization of a virtual machine or a proxy server, unique behavior across multiple different accounts, temporal correlation among operations, detection of a set of operations that follow a pre-defined mule account playbook, detection of multiple incoming fund transfers from multiple countries that are followed by a single outgoing fund transfer to a different country, and other indicators.

Abstract: Systems, devices, and methods for identifying a region of interest are provided. A plurality of skeletal landmarks may be identified from an image received from an imaging device. A pose of a patient may be determined based on the plurality of skeletal landmarks. A region of interest may be identified on the patient based on the determined pose. Instructions may be automatically provided to the controller to adjust a pose of a surgical instrument relative to the region of interest. The plurality of skeletal landmarks may be tracked for movement. The region of interest may be updated when movement of the plurality of skeletal landmarks is detected.

Abstract: Devices, systems, and methods of detecting a vishing attack, in which an attacker provides to a victim step-by-step over-the-phone instructions that command the victim to log-in to his bank account and to perform a dictated banking transaction. The system monitors transactions, online operations, user interactions, gestures performed via input units, speed and timing of data entry, and user engagement with User Interface elements. The system detects that the operations performed by the victim, follow a pre-defined playbook of a vishing attack.

Abstract: Computerized method for verification of user identity and transaction data authenticity, usable in systems having an electronic device that communicates with a remote server. The method includes: (a) receiving user interactions at a non-secure execution environment of the electronic device, reflecting transaction data entered by a user; and transmitting transaction data from the non-secure execution environment to the server; (b) locally authenticating the transaction data and user identity in a secure execution environment of the electronic device; and encrypting transaction data in that secure execution environment, by utilizing a Cryptographic Private Key of the electronic device as encryption key; and transmitting encrypted version of locally-authenticated transaction data from the electronic device to the server.

Abstract: A system according to at least one embodiment of the present disclosure includes an imaging source; an imaging detector; a sensor coupled to at least one of the imaging source and imaging detector; and a controller that adjusts a relative position of the imaging source and the imaging detector based on an output of the sensor.

Abstract: Systems, and methods of protecting users against cyber-attacks that utilize SIM Swap or Email Hijacking. A method includes: (a) detecting that a user is requested to input his genuine email address into an email address field of an account profile page or an account settings page of a computerized service; (b) inserting, into that email address field of that page, a replacement email address that replaces a genuine email address of the genuine user at that computerized service; and later, (c) automatically monitoring and handling, continuously at a remote server or a remote service, incoming email messages that arrive to that replacement email address of that genuine user and that request the genuine user to perform an elevated-security operation or to reset his credentials for accessing that computerized service.

Abstract: Method, device, and system of detecting a mule bank account, or a bank account used for terror funding or money laundering. A method includes: monitoring interactions of a user with a computing device during online access with a bank account; and based on the monitoring, determining that the bank account is utilized as a mule bank account to illegally receive and transfer money, or is used for money laundering or terror funding. The method takes into account one or more indicators, such as, utilization of a remote access channel, utilization of a virtual machine or a proxy server, unique behavior across multiple different accounts, temporal correlation among operations, detection of a set of operations that follow a pre-defined mule account playbook, detection of multiple incoming fund transfers from multiple countries that are followed by a single outgoing fund transfer to a different country, and other indicators.

Abstract: Devices, systems, and methods of detecting user identity, authenticating a user to a computerized service or to an electronic device, differentiating between users of a computerized service, and detecting possible attackers or possible fraudulent transactions. A method includes: generating a user authentication session that requires a user to enter a secret by performing a task; monitoring the user interactions during task performance; extracting a user-specific behavioral characteristic, and utilizing it as a factor in user authentication. The task requires the user to perform on-screen operations via a touch-screen or touchpad or mouse or other input unit of the electronic device, or to move in space or tilt in space the entirety of the electronic device in a way that causes inputting of the secret data-item.

Abstract: A user interacts with a remote server via an end-user device, and enters transaction data. A user-facing camera of the end-user device captures a live video feed of the interacting user; which is displayed in real time on the screen of the end-user device while the user is filling-out fields and entering transaction data. The concurrent, real-time, video-feed display of the interacting user, near—or as a background layer behind—the fillable fields of the transaction data, deters at least some cyber-attacks or prevents fraud attempts. Optionally, the screen of the end-user device is also continuously shared, over a secure communication channel, via a locally-installed Screen Sharing Module, with a trusted remote server; which performs continuous biometric authentication of the user, and continuously verifies the integrity of user-provided transaction data against locally-collected data and user interactions.

Abstract: Embodiments of the present disclosure are directed to providing a comprehensive and effective solution for the concurrent coexistence of cellular communications with communications in various wireless communication formats. Other embodiments may be described or claimed.

Abstract: Method, device, and system of detecting a mule bank account, or a bank account used for terror funding or money laundering. A method includes: monitoring interactions of a user with a computing device during online access with a bank account; and based on the monitoring, determining that the bank account is utilized as a mule bank account to illegally receive and transfer money, or is used for money laundering or terror funding. The method takes into account one or more indicators, such as, utilization of a remote access channel, utilization of a virtual machine or a proxy server, unique behavior across multiple different accounts, temporal correlation among operations, detection of a set of operations that follow a pre-defined mule account playbook, detection of multiple incoming fund transfers from multiple countries that are followed by a single outgoing fund transfer to a different country, and other indicators.

Abstract: A system according to at least one embodiment of the present disclosure includes a processor; at least one robotic arm; and a memory storing data for processing by the processor that, when processed by the processor, cause the processor to: manipulate the at least one robotic arm when holding an object; and determine a configuration of the object based on a position of the at least one robotic arm and information describing another point of the object relative to the at least one robotic arm.

Abstract: System, device, and method of generating and utilizing one-time passwords. A method generates a particular One-Time Password (OTP) string that is based on pre-defined OTP string construction rules. The particular OTP string is not a purely-random string; rather, the particular non-purely-random OTP string provides to a behavioral monitoring unit a capability to extract user-specific behavioral typing patterns from a way in which a user types characters of the particular OTP via a keyboard of an electronic device. The method sends the particular OTP string to the user; monitors the way that the user types the OTP string; extracts from the user interactions, that were performed while the user entered the OTP string, a user-specific behavioral typing characteristic; and based on that user-specific characteristic, determines whether that user is authenticated or non-authenticated, and optionally activates fraud mitigation operations or transaction blocking operations if the user is non-authenticated.

Abstract: Method, device, and system of detecting a mule bank account, or a bank account used for terror funding or money laundering. A method includes: monitoring interactions of a user with a computing device during online access with a bank account; and based on the monitoring, determining that the bank account is utilized as a mule bank account to illegally receive and transfer money, or is used for money laundering or terror funding. The method takes into account one or more indicators, such as, utilization of a remote access channel, utilization of a virtual machine or a proxy server, unique behavior across multiple different accounts, temporal correlation among operations, detection of a set of operations that follow a pre-defined mule account playbook, detection of multiple incoming fund transfers from multiple countries that are followed by a single outgoing fund transfer to a different country, and other indicators.

Abstract: System, device, and method of generating and utilizing one-time passwords. A method generates a particular One-Time Password (OTP) string that is based on pre-defined OTP string construction rules. The particular OTP string is not a purely-random string; rather, the particular non-purely-random OTP string provides to a behavioral monitoring unit a capability to extract user-specific behavioral typing patterns from a way in which a user types characters of the particular OTP via a keyboard of an electronic device. The method sends the particular OTP string to the user; monitors the way that the user types the OTP string; extracts from the user interactions, that were performed while the user entered the OTP string, a user-specific behavioral typing characteristic; and based on that user-specific characteristic, determines whether that user is authenticated or non-authenticated, and optionally activates fraud mitigation operations or transaction blocking operations if the user is non-authenticated.

Abstract: System, device, and method of detecting business email fraud and corporate email fraud. A method includes: receiving a user request to perform an online transaction on behalf of a corporate entity; generating a notification that requires the user to indicate whether he obtained managerial authorization for performing that online transaction on behalf of that corporate entity; monitoring user gestures and user interactions in response to that notification; receiving a positive answer from the user; performing an analysis of user gestures and user interactions, and generating a signal indicating a determination that the positive answer from the user is false, based on analyzed metrics that correspond to characteristics of the user gestures and user interactions; blocking or unauthorizing, at least temporarily, that online transaction that was requested on behalf of that corporate entity.