Abstract: Systems, methods and computer readable mediums for determining a risk rating for software vulnerabilities of host devices and services on an enterprise network are discussed. Risk-rating systems and methods prioritize cyber defense resources utilizing both network-independent and network-specific approaches.

Abstract: Systems, methods and computer readable medium for training a risk rating system for assessing a risk of a mobile application are disclosed. One or more features representing operational characteristics of mobile applications and malware are extracted. A first learning classifier and a second learning classifier are trained using the extracted features. A machine learning risk rating model is generated, based on the combination of the first learning classifier and the second learning classifier to calculate a risk rating based on the features and a correlation of the features. Systems, methods, and computer readable medium for assessing a risk for a mobile application are also disclosed. One or more features of a mobile application are extracted. A learning classifier is applied to the extracted features. A risk rating is determined based on the result of the classifier.

Abstract: Systems, methods and computer readable mediums for determining a risk rating for software vulnerabilities of host devices and services on an enterprise network are discussed. Risk-rating systems and methods prioritize cyber defense resources utilizing both network-independent and network-specific approaches.

Abstract: Systems, methods and computer readable medium for training a risk rating system for assessing a risk of a mobile application are disclosed. One or more features representing operational characteristics of mobile applications and malware are extracted. A first learning classifier and a second learning classifier are trained using the extracted features. A machine learning risk rating model is generated, based on the combination of the first learning classifier and the second learning classifier to calculate a risk rating based on the features and a correlation of the features. Systems, methods, and computer readable medium for assessing a risk for a mobile application are also disclosed. One or more features of a mobile application are extracted. A learning classifier is applied to the extracted features. A risk rating is determined based on the result of the classifier.

Abstract: Methods and systems are disclosed for detection of agents such as pathogens or toxic substances and, in particular, to methods and systems for determining the most important background constituents to suppress in a sample, e.g., in a bulk aerosol sample, in order to reduce the probability of false alarms and improve the level of detection of potentially harmful airborne agents.

Abstract: Methods and systems are disclosed for detection of agents such as pathogens or toxic substances and, in particular, to methods and systems for determining the most important background constituents to suppress in a sample, e.g., in a bulk aerosol sample, in order to reduce the probability of false alarms and improve the level of detection of potentially harmful airborne agents.

Abstract: Methods and systems are disclosed for selecting a set of interrogation wavelengths from spectral data, the method including the steps of performing a principal coordinate transformation on the spectral data, choosing an objective function which describes the efficiency of the transformation in separating the class of agents from the class of interferents, rank ordering the interrogation wavelengths according to said objective function, and choosing the set of wavelengths with the highest rank. In one preferred embodiment, the objective function is the smallest spectral angle between the class of agents and the class of interferents.

Abstract: The present invention generally provides systems and methods for detection of agents of interest in a bulk quantity of matter, which also contains clutter and other constituents that typically interfere with the detection of one or more agents of interest. A detection system of the invention generally contains a collection subsystem for obtaining a bulk sample, an interrogation subsystem for generating one or more analytical signals representative of the composition of the bulk sample, and an analytical subsystem according to the teachings of the invention that implements the methods and algorithms of the invention for analyzing the sample analytical signals to determine whether one or more agents of interest are present, e.g., at quantities above a certain threshold, in the bulk sample.

Abstract: The present invention generally provides systems and methods for detection of agents of interest in a bulk quantity of matter, which also contains clutter and other constituents that typically interfere with the detection of one or more agents of interest. A detection system of the invention generally contains a collection subsystem for obtaining a bulk sample, an interrogation subsystem for generating one or more analytical signals representative of the composition of the bulk sample, and an analytical subsystem according to the teachings of the invention that implements the methods and algorithms of the invention for analyzing the sample analytical signals to determine whether one or more agents of interest are present, e.g., at quantities above a certain threshold, in the bulk sample.

Abstract: The present invention generally provides methods and systems for characterizing texts, for example, for identifying textual documents by language, topic, author, or other attributes. In some embodiments, a method of the invention can include creating an n-gram frequency spectrum for a document under analysis, preferably selecting a subset of the n-gram frequency spectrum, transforming the n-gram frequency spectrum into principal component space, and identifying one or more attributes of the document according to its similarity to (or distinction from) reference documents in the principal component space.

Abstract: The present invention generally provides systems and methods for distribution of radiation among a plurality of optical channels, each of which can include a non-linear optical element. An optical system of the invention can include a source for generating radiation and an optical time-division multiplexer that can deflect, at any given time interval, the radiation into one of a plurality of optical channels.

Abstract: The present invention generally provides systems and methods for distribution of radiation among a plurality of optical channels, each of which can include a non-linear optical element. An optical system of the invention can include a source for generating radiation and an optical time-division multiplexer that can deflect, at any given time interval, the radiation into one of a plurality of optical channels.

Abstract: A system that projects a multi-color laser beam image based on assembly or alignment data of a manufacturing process onto a work surface. The system provides, for example, an optical layup template in manufacturing processes, especially the layup of composite laminates. In various implementations additional important features are shown. A plurality of lasers emit beams of different colors, including colors different from that emitted by any one laser. In certain implementations, the system comprises a red and a green laser adapted to emit red, green and yellow laser beams. Software to control the system is also disclosed.