45results about How to "Improve risk assessment" patented technology

Systems, methods, and computer-readable media for communicating electronic device secure element data over multiple paths for online payments are provided. In one example embodiment, a method includes, inter alia, at a commercial entity subsystem, receiving, from an electronic device, device transaction data that includes credential data indicative of a payment credential on the electronic device for funding a transaction with a merchant subsystem, accessing a transaction identifier, deriving a transaction key based on transaction key data that includes the accessed transaction identifier, transmitting, to one of the merchant subsystem and the electronic device, merchant payment data that includes a first portion of the credential data and the accessed transaction identifier, and sharing, with a financial institution subsystem using the transaction key, commercial payment data that includes a second portion of the credential data that is different than the first portion of the credential data. Additional embodiments are also provided.

The present disclosure is directed to a system, method, and computer program for detecting and assessing security risks in an enterprise's computer network. A behavior model is built for a user in the network based on the user's interactions with the network, wherein a behavior model for a user indicates client device(s), server(s), and resources used by the user. The user's behavior during a period of time is compared to the user's behavior model. A risk assessment is calculated for the period of time based at least in part on the comparison between the user's behavior and the user's behavior model, wherein any one of certain anomalies between the user's behavior and the user's behavior model increase the risk assessment.

Systems and methods are described for building, maintaining, and using a repository of information about payors of second-party checks presented at a check-cashing entity for cashing. In various embodiments, the repository comprises stored information useful for determining the location of a payor of a second-party check. In one embodiment, information from the check that identifies an account on which the check is drawn, such as magnetic ink character recognition (MICR) line information from a paycheck, is used to access a repository of employer location information. In one embodiment, the payor location information is used to determine a proximity between the payor location and the check cashing entity location. In one embodiment, when a check is presented for which stored payor location information is not available, identifying information about the payor and/or the payor location is requested and is added to the repository.

Institutional risk is calculated by collecting information about the products and services offered by an institution and assigning a risk value to each product and service. Other aspects and components of an institution are also assigned risk values. The various risk values are calculated along with institutional controls that are in place to mitigate risk in order to determine an overall residual risk assessment for the entity. Forecasts can be made for an institution by adding new or subtracting current business activities and/or institutional controls and calculating an alternative overall residual risk assessment.

Disclosed is a system and method for providing real-time visual customer support. In one embodiment, the present system is configured to enhance native phone communication by simultaneously being able to deliver one-way real-time visual streaming from the end consumer. In this way, the present invention allows businesses to participate in collaborative audio-visual communication during the very first customer contact over the phone.

The invention discloses a host risk evaluation method and a host risk evaluation device. The method comprises the following steps of: detecting the bug information and network connectivity information of all hosts in a network; determining an attack path in the network according to the bug information and the network connectivity information; and determining the total risk of any target host based on the bug information and the attack path. In the method and the device, the thought of actively and dynamically evaluating potential bugs and risks by the attack path is put forward for the first time, so that host risk evaluation is more perfect, and effects are more ideal. Own bugs of the host and threats from the attack path in the network are combined, so the potential risks of the host can be explored more deeply.

The invention is applicable to the technical field of data processing, and provides a driving behavior risk assessment method, device, equipment, and a storage medium. The method comprises that when arequest for carrying out risk assessment on the driving behavior of the target user is received, acquiring the driving data driven by the target user; analyzing the driving behavior of the target user according to the acquired driving data so as to obtain the driving behavior data of the target user, according to the driving behavior data of the target user, the driving behavior data of a user ina pre-established blacklist library and a preset risk assessment algorithm, carrying out the risk analysis on the driving behavior of the target user to obtain the risk assessment result of the driving behavior of the target user, so that the risk assessment of the commercial insurance of the vehicle is more complete and scientific, and the insurance accuracy of the vehicle are further improved.

The invention discloses a risk assessment method based on a consumption loan scene, and system implementation. The method comprises the steps: obtaining credit assessment data of a to-be-assessed object, wherein the credit assessment data comprises credit data, application repayment data, accumulation fund data, account statement data, and communication data; judging whether the credit assessmentdata meets a preset assessment condition or not; inputting the credit assessment data into a preset credit scoring model under the condition that the credit assessment data meets the preset assessmentcondition, and obtaining a credit score of the to-be-assessed object, wherein the credit score is used for representing the income state and consumption capability of the to-be-assessed object; and obtaining a credit assessment result of the to-be-assessed object according to the credit score of the to-be-assessed object. The method solves a technical problem that the single assessment dimensionof a risk assessment method of a consumption load scene causes the low accuracy of an assessment result in the prior art.

The invention discloses an individualized disease risk level analyzing method based on a conventional factor. The method comprises the following steps: establishing a conventional factor logic table according to medical information and big data information and adjusting in real time according to the update of the medical information and/or the big data information; obtaining personal information; screening out individualization factors and setting weights thereof; sorting the individualization factors according to the weights to obtain a personal label, wherein the personal label comprises an initial disease group, and the initial disease group comprises at least one disease name and a risk level corresponding to the disease name; obtaining personal updated information and obtaining a personal updated label according to the personal updated information, wherein the personal updated label comprises an updated disease group, and the updated disease group comprises at least one disease name and a risk level corresponding to the disease name; when the updated disease group and the initial disease group comprise the same disease name, the updated disease group comprises the change trend of the same disease name. The method disclosed by the invention has relatively high individuality and real-time property and higher accuracy.

The embodiment of the invention provides a method for multi-party joint training of a risk assessment model for an IoT machine. The multiple parties comprise a machine end computing node, a merchant end computing node and a payment platform computing node which are used for respectively storing machine privacy data of a plurality of machines, binding merchant privacy data of a plurality of merchants of the plurality of machines and payment privacy data related to the plurality of merchants, and respectively maintaining partial parameters in the risk assessment model. In addition, the payment platform computing node also stores a machine risk tag. According to the method, a machine tool end computing node and a merchant end computing node determine an intermediate computing result based onstored private data and maintained partial parameters, and a payment platform computing node computes the intermediate computing result based on the stored private data, the maintained partial parameters and labels. And then, the three parties provide respective calculated intermediate calculation results based on a secure multi-party calculation MPC technology, determine training loss, and then respectively adjust partial maintained model parameters.

The invention discloses a database security risk assessment system. The system comprises a risk assessment engine, a server-side SQL (Structured Query Language) abnormal risk assessment module, an intranet node SQL abnormal risk assessment module, a basic risk assessment module, a vulnerability library and a historical assessment recording module, the risk assessment engine is used for scheduling the server-side SQL exception risk assessment module, the intranet node SQL exception risk assessment module and the basic risk assessment module and respectively executing server-side SQL exception risk assessment of the first round, intranet node SQL exception risk assessment of the second round and basic risk assessment of the last round, the vulnerability library is used for storing known database vulnerabilities and web server vulnerability, and the historical assessment recording module is used for storing evaluation history record data. According to the system, database security risk assessment is more comprehensive and objective.

The invention discloses a server risk assessment method, device and equipment and a computer readable storage medium, and the method comprises the steps of obtaining the dimension data of each risk dimension of a server, and calling the vector data of a preset vector corresponding to each risk dimension in the server; comparing the vector data with the dimension data, and determining a vector score of each risk dimension; and integrating the vector scores to generate an integrated score of the server, and evaluating the server risk according to the integrated score. According to the scheme, the risk of dimension data reflecting all aspects of the server is evaluated through a plurality of preset vectors, and an integrated score is generated; and the overall risk of the server is evaluatedaccording to the integration score, so that the risk evaluation of the server is more comprehensive, and the risk evaluation accuracy is improved to ensure that each information asset in the server isin a safe environment.

A data storage device comprises a memory in which a collection of prostate cancer screening data is stored. The screening data is obtained from a selection of the general male population without medical pre-selection. A device for indicating a risk for a disease of an individual, comprises an indicator for indicating a determined value for said risk. The indicator comprises a risk scale representing a range of values of said risk, and at least one dialler for entering a value of a diagnostic parameter of an individual. The dialler comprises a parameter scale representing a range of values of said diagnostic parameter. The dialler is movable with respect to said indicator such that when a parameter value on said parameter scale is selected, an associated risk value is indicated on said risk scale according to a predetermined mathematical relationship

The invention combines field fault data to predict the number of faults in a future time period, improves the prediction accuracy by introducing the advantage ratio, is beneficial to solving the problem of pre-judging the faults of the electric energy meters in advance, and thus discovers the possible fault number change trend of the same batch of intelligent electric energy meters in the future interval in advance. The full-life-cycle management and control capability of a power grid company on life prediction, risk evaluation and management decision-making of the intelligent electric energy meter is improved. The possible fault frequency change trend of the same batch of intelligent electric energy meters in the future interval can be found in advance, technical support can be provided for the aspects of operation maintenance, batch rotation, hidden danger investigation and the like of the electric energy meters in the future time period, and the full-life-cycle management and control capacity of a power grid company on life prediction, risk evaluation and management decision making of the intelligent electric energy meters is improved.

The invention discloses a multi-dimensional software security risk assessment method based on CVSS. The problem that a CVSS measurement assessment standard cannot accurately and comprehensively evaluate vulnerability risk levels is solved. The method comprises the following implementation steps: acquiring software vulnerability data; analyzing vulnerability data and integrating into a data set; readjusting the weight of the relative importance measurement index; optimizing a distribution scheme of the measurement indexes in the influence; adding vulnerability type measurement indexes; adding utilization time probability measurement in the risk score; obtaining a risk assessment result by using the risk assessment formula. Relative importance weight distribution is carried out on measurement indexes in influence, vulnerability measurement indexes are added in availability measurement, and time utilization probabilities are added in risk scores. Compared with a traditional evaluation method, the method has more accurate scoring standards, more comprehensive evaluation factors and more dimensional evaluation results. The method is used for risk assessment of software vulnerabilities.

The invention belongs to the technical field of medical supply chain financial data risk control, and discloses a supply chain financial risk control data cross validation method and system, and computer equipment, and the supply chain financial risk control data cross validation method comprises the steps: obtaining business flow, logistics, information flow and capital flow data of an enterprise in real time through docking with an enterprise ERP system; and when an enterprise has a financing demand, enabling the system to perform cross verification and risk assessment of behavior authenticity of a financing party and a transaction party through the acquired business data. Through cross verification of data of business flow, logistics, information flow and fund flow of an enterprise, risk assessment strength is improved for a fund party, risk control operation is more rigorous, and the problems of tedious financing operation and low financing amount of a financing party are solved; and an online financing platform is provided for a fund party and a financing party, financing operation is simple and rapid, data is safe and accurate, financing risks are reduced, risk control operation is more rigorous, financing requirements of enterprises are met, and reasonable financing amount is obtained.