Abstract: In embodiments of the present invention improved capabilities are described for behavioral-based threat detection. An executing computer process is monitored for an indication of malicious behavior, wherein the indication of the malicious behavior is a result of comparing an operation with a predetermined behavior, referred to as a gene. A plurality of malicious behavior indications observed for the executing process are compared to a predetermined collection of malicious behaviors, referred to as a phenotype, which comprises a grouping of specific genes that are typically present in a type of malicious code. Upon matching the malicious behavior indications with a phenotype, an action may be caused, where the action is based on a prediction that the executing computer process is the type of malicious code as indicated by the phenotype. Related user interfaces, applications, and computer program products are disclosed.

Abstract: In embodiments of the present invention improved capabilities are described for behavioral-based threat detection. An executing computer process is monitored for an indication of malicious behavior, wherein the indication of the malicious behavior is a result of comparing an operation with a predetermined behavior, referred to as a gene. A plurality of malicious behavior indications observed for the executing process are compared to a predetermined collection of malicious behaviors, referred to as a phenotype, which comprises a grouping of specific genes that are typically present in a type of malicious code. Upon matching the malicious behavior indications with a phenotype, an action may be caused, where the action is based on a prediction that the executing computer process is the type of malicious code as indicated by the phenotype. Related user interfaces, applications, and computer program products are disclosed.

Abstract: In embodiments of the present invention improved capabilities are described for behavioral-based threat detection. An executing computer process is monitored for an indication of malicious behavior, wherein the indication of the malicious behavior is a result of comparing an operation with a predetermined behavior, referred to as a gene. A plurality of malicious behavior indications observed for the executing process are compared to a predetermined collection of malicious behaviors, referred to as a phenotype, which comprises a grouping of specific genes that are typically present in a type of malicious code. Upon matching the malicious behavior indications with a phenotype, an action may be caused, where the action is based on a prediction that the executing computer process is the type of malicious code as indicated by the phenotype. Related user interfaces, applications, and computer program products are disclosed.

Abstract: In embodiments of the present invention improved capabilities are described for threat detection using a behavioral-based host-intrusion prevention method and system for monitoring a user interaction with a computer, software application, operating system, graphic user interface, or some other component or client of a computer network, and performing an action to protect the computer network based at least in part on the user interaction and a computer code process executing during or in association with a computer usage session.

Abstract: In embodiments of the present invention improved capabilities are described for behavioral-based threat detection. An executing computer process is monitored for an indication of malicious behavior, wherein the indication of the malicious behavior is a result of comparing an operation with a predetermined behavior, referred to as a gene. A plurality of malicious behavior indications observed for the executing process are compared to a predetermined collection of malicious behaviors, referred to as a phenotype, which comprises a grouping of specific genes that are typically present in a type of malicious code. Upon matching the malicious behavior indications with a phenotype, an action may be caused, where the action is based on a prediction that the executing computer process is the type of malicious code as indicated by the phenotype. Related user interfaces, applications, and computer program products are disclosed.

Abstract: In embodiments of the present invention improved capabilities are described for threat detection using a behavioral-based host-intrusion prevention method and system for monitoring a user interaction with a computer, software application, operating system, graphic user interface, or some other component or client of a computer network, and performing an action to protect the computer network based at least in part on the user interaction and a computer code process executing during or in association with a computer usage session.

Abstract: An improved thermoelectric heat exchanger is provided which comprises a series of thermoelectric units sandwiched between two channels for the purpose of transferring heat from a liquid coolant flowing through one channel to a second fluid flowing through the other channel. Heat transfer fins are brazed to the inner surfaces of both channels to provide improved heat transfer between the fluids and the channels. A thermally conductive grease or ductile metal between the thermoelectric units and the channels provides improved heat transfer at this interface. When an electric current is passed through the thermoelectric units, heat is transferred from the liquid coolant through the thermoelectric units to the second fluid via the Peltier Effect.