Abstract: Systems and methods are provided for the classification of identified security vulnerabilities in software applications, and their automated triage based on machine learning. The disclosed system may generate a report listing detected potential vulnerability issues, and extract features from the report for each potential vulnerability issue. The system may receive policy data and business rules, and compare the extracted features relative to such data and rules. The system may determine a token based on the source code of a potential vulnerability issue, and a vector based on the extracted features of a potential vulnerability issue and based on the token. The system may select a machine learning modelling method and/or an automated triaging method based on the vector, and determine a vulnerability accuracy score based on the vector using the selected method.

Abstract: Systems and methods are provided for the classification of identified security vulnerabilities in software applications, and their automated triage based on machine learning. The disclosed system may generate a report listing detected potential vulnerability issues, and extract features from the report for each potential vulnerability issue. The system may receive policy data and business rules, and compare the extracted features relative to such data and rules. The system may determine a token based on the source code of a potential vulnerability issue, and a vector based on the extracted features of a potential vulnerability issue and based on the token. The system may select a machine learning modelling method and/or an automated triaging method based on the vector, and determine a vulnerability accuracy score based on the vector using the selected method.

Abstract: This document describes systems, methods, devices, and other techniques for detecting procurement fraud in one or more procurement processes. In some implementations, a computing device receives input data representing one or more procurement processes, processes the received input data to generate a respective risk score for each procurement process, each risk score representing a likelihood that the respective procurement process is fraudulent, comprising processing the received input data using (i) one or more predetermined rules and scenarios, and (ii) atypical patterns data mined through unsupervised learning mechanisms, and provides, based on the generated risk score, output data indicating procurement processes that are likely to be fraudulent.

Abstract: The invention provides a quality of service monitoring device (12) for use with a user equipment comprising a base platform (14); and an external communication module (24) adapted to receive from an external source one or more listener modules and/or detector modules for incorporation into the base platform (14). The base platform (14) is coupled to the external communication module (24) to receive one or more listener modules (20) and detector modules (22) and is adapted to install received modules to extend the functionality of the base platform (14) so as to perform the functionality of the installed modules. A corresponding method is provided. There is also provided a quality of service monitoring apparatus, for use on the network side, as well as a corresponding method.

Abstract: A method for monitoring the performance of a media streaming service being used to deliver media streams to user equipment devices comprises the step of determining an encoding characteristic of a first media stream (201) being monitored. A functional dependency model is established between a first System Service Key Performance Indicator, S-KPI, and one or more Resource Service Key Performance Indicators, R-KPIs, for the first media stream (203). The established functional dependency model is used for monitoring a second media stream having the same encoding characteristic as the first media stream (205).

Abstract: The invention provides a quality of service monitoring device (12) for use with a user equipment comprising a base platform (14); and an external communication module (24) adapted to receive from an external source one or more listener modules and/or detector modules for incorporation into the base platform (14). The base platform (14) is coupled to the external communication module (24) to receive one or more listener modules (20) and detector modules (22) and is adapted to install received modules to extend the functionality of the base platform (14) so as to perform the functionality of the installed modules. A corresponding method is provided. There is also provided a quality of service monitoring apparatus, for use on the network side, as well as a corresponding method.

Abstract: A method for monitoring performance of a service delivered to user equipment devices via a communications network as perceived by a user comprising the steps of collecting Resource Service Key Performance Indicators from network resources and collecting System Service Key Performance Indicators from a representative sample of reporting user equipment devices using the service. In the next step relationship between the collected values of R-KPIs and S-KPIs is determined and then userr equipment from the representative sample is clustered. In the following step non-reporting user equipment devices are assigned to the clusters and then the method comprises collecting R-KPIs from network resources to estimate S-KPI values based on the R-KPIs collected after determination of the relationship and the relationship.

Abstract: A method of monitoring performance of a telecommunications network transmitting in real time multimedia data from a content provider to a device operating in the network is disclosed. The method comprises the steps of receiving said multimedia data; collecting information about the connection used to receive the multimedia data; producing a receiver report; appending said report with an identifier of a segment of the telecommunications network in which the device operates and transmitting said report to said telecommunications network.