Abstract: A new system and method is provided for blood pressure measurements that use an accuracy-improved pulse rate detection, which includes determining PTT (pulse transit time). Various aspects contribute to the greater accuracy, including but not limited to pre-processing of the camera output/input, extracting the pulsatile signal from the preprocessed camera signals, followed by post-filtering of the pulsatile signal. This improved information is then used for accurate BP determination, which is not possible with inaccurate methods for optical pulse rate detection.

Abstract: A new system and method is provided for improving the accuracy of blood pressure measurements. Various aspects contribute to the greater accuracy, including but not limited to pre-processing of the camera output/input, extracting the pulsatile signal from the preprocessed camera signals, followed by post-filtering of the pulsatile signal. This improved information may then be used for such analysis as HRV determination. Preferably a plurality of such physiological measurements are used to determine blood pressure measurements.

Abstract: A new system and method is provided for improving the accuracy of pulse rate detection, including for determining PTT (pulse transit time). Various aspects contribute to the greater accuracy, including but not limited to pre-processing of the camera output/input, extracting the pulsatile signal from the preprocessed camera signals, followed by post-filtering of the pulsatile signal. This improved information may then be used for such analysis as accurate BP determination, which is not possible with inaccurate methods for optical pulse rate detection.

Abstract: A new system and method is provided for improving the accuracy of pulse rate detection. Various aspects contribute to the greater accuracy, including but not limited to pre-processing of the camera output/input, extracting the pulsatile signal from the preprocessed camera signals, followed by post-filtering of the pulsatile signal. This improved information may then be used for such analysis as HRV determination, which is not possible with inaccurate methods for optical pulse rate detection.

Abstract: A method, product and computer program product for building a malware detector, the method including the steps of: receiving at least one characteristic for each of a plurality of malware variants; categorizing each of the characteristics as a malicious characteristic or a non-malicious characteristic; generating a detector; training the detector to distinguish between the malicious characteristic and the non-malicious characteristic; and rating the detector based on an accuracy of detection of an amount of malicious characteristics for each malware variant.

Abstract: A method, product and computer program product for building a malware detector, the method including the steps of: receiving at least one characteristic for each of a plurality of malware variants; categorizing each of the characteristics as a malicious characteristic or a non-malicious characteristic; generating a detector; training the detector to distinguish between the malicious characteristic and the non-malicious characteristic; and rating the detector based on an accuracy of detection of an amount of malicious characteristics for each malware variant.

Abstract: A method, product and computer program product for evaluating a generation of malware variants, the method including the steps of: scanning, with one or more malware detectors, a variant of a malware specimen; determining an evasiveness characteristic of the variant and a maliciousness characteristic of the variant; determining a likelihood that the variant meets one or more criteria based at least on the evasiveness characteristic of the variant and the maliciousness characteristic of the variant; and based on the determined likelihood, selecting the variant for propagation.

Abstract: A method, product and computer program product for building a malware detector, the method including the steps of: receiving at least one characteristic for each of a plurality of malware variants; categorizing each of the characteristics as a malicious characteristic or a non-malicious characteristic; generating a detector; training the detector to distinguish between the malicious characteristic and the non-malicious characteristic; and rating the detector based on an accuracy of detection of an amount of malicious characteristics for each malware variant.

Abstract: A method, product and computer program product for evolving malware variants, the method including the steps of: receiving a malware specimen; generating a first generation of variants corresponding to the malware specimen, wherein the malware specimen is altered by one or more mutations to generate each variant of the first generation of variants; selecting variants from the first generation of variants; and mutating the selected variants to generate successive generations of variants, wherein the successive generations are generated until one or more criteria are met.

Abstract: A method, product and computer program product for providing evolutionary selection of malware variants, the method including the steps of: receiving a malware specimen; generating a first generation of variants corresponding to the malware specimen; evaluating each variant of the first generation of variants for one or more evasiveness characteristics and one or more maliciousness characteristics; based on the evaluating, selecting variants of the first generation of variants for further mutation; and generating a second generation of variants from each of the selected variants.

Abstract: A method, product and computer program product for effecting an Evolutionary Process on malware, the method including the steps of: (a) receiving a malware specimen; (b) generating variants of the malware specimen; (c) evaluating the variants and awarding each the variant a Fitness Score; (d) selecting the variants having at least a predefined the Fitness Score; and (e) using the selected variants as the malware specimens in step (a) from which to generate a new generation of the variants.

Abstract: A method, product and computer program product for building a malware detector, the method including the steps of: receiving at least one characteristic for each of a plurality of malware variants; categorizing each of the characteristics as a malicious characteristic or a non-malicious characteristic; generating a detector; training the detector to distinguish between the malicious characteristic and the non-malicious characteristic; and rating the detector based on an accuracy of detection of an amount of malicious characteristics for each malware variant.

Abstract: A method, product and computer program product for evolving malware variants, the method including the steps of: receiving a malware specimen; generating a first generation of variants corresponding to the malware specimen, wherein the malware specimen is altered by one or more mutations to generate each variant of the first generation of variants; selecting variants from the first generation of variants; and mutating the selected variants to generate successive generations of variants, wherein the successive generations are generated until one or more criteria are met.

Abstract: A method, product and computer program product for evaluating a generation of malware variants, the method including the steps of: scanning, with one or more malware detectors, a variant of a malware specimen; determining an evasiveness characteristic of the variant and a maliciousness characteristic of the variant; determining a likelihood that the variant meets one or more criteria based at least on the evasiveness characteristic of the variant and the maliciousness characteristic of the variant; and based on the determined likelihood, selecting the variant for propagation.

Abstract: A method, product and computer program product for providing evolutionary selection of malware variants, the method including the steps of: receiving a malware specimen; generating a first generation of variants corresponding to the malware specimen; evaluating each variant of the first generation of variants for one or more evasiveness characteristics and one or more maliciousness characteristics; based on the evaluating, selecting variants of the first generation of variants for further mutation; and generating a second generation of variants from each of the selected variants.

Abstract: A method, product and computer program product for effecting an Evolutionary Process on malware, the method including the steps of: (a) receiving a malware specimen; (b) generating variants of the malware specimen; (c) evaluating the variants and awarding each the variant a Fitness Score; (d) selecting the variants having at least a predefined the Fitness Score; and (e) using the selected variants as the malware specimens in step (a) from which to generate a new generation of the variants.