55 results about "Internet fraud" patented technology

The present invention provides a block chain technology-based network digital identity authentication method. The method comprises the steps of 1) user registration: conducting the identity authentication service based on the vLink protocol, uploading a block chain if the identity of a user is legal, broadcasting the information of the user to the whole network by the block chain, and adding the information of the user into a corresponding block at each node, wherein blocks are mutually verified; 2) obtaining the information of the user, searching the information of the user through the vKey attribute authorization service, returning the user name, the gender and the age information of the user and returning a particular opened at the same time for distinguishing different users; 3) subjecting data to signature treatment during the digital identity authentication process based on the above block chain technology. According to the technical scheme of the invention, the personal data of a user are stored in a block chain, so that the occurrence of information leakage and internet fraud behaviors is radically avoided. The data security is ensured. During the data transmission process, the digital signature treatment is adopted. Therefore, the sensitive information is not tampered during the digital signature transmission process.

The invention discloses a method and a system for recognizing internet fraud behaviors. The method comprises the following steps: acquiring internet behavior information of a target object through a data access layer; recognizing a fraud behavior track related to fraud in the internet behavior information through a data preprocessing layer; integrating the fraud behavior track through a fraud prevention resource layer so as to obtain a fraud behavior integral value; determining whether the integral value exceeds a preset threshold or not through a service application layer, if the integral value exceeds the preset threshold, confirming that the target object has fraud behaviors. By adopting the method which is provided by the embodiment of the invention and is used for recognizing internet fraud behaviors, internet fraud behaviors can be accurately and rapidly recognized, and convenience can be brought to police departments to alarm and prevent internet fraud in advance.

The invention relates to a fraud gang identification method based on network flow, a controller and a medium. The method comprises steps of obtaining the network fraud flow of a plurality of to-be-tested accounts, and extracting the network fraud data corresponding to each to-be-tested account from the network fraud flow; sequentially performing association degree calculation on every two to-be-tested accounts in the plurality of to-be-tested accounts based on the network fraud data to obtain a first association degree, and if the first association degree is greater than a first association degree threshold, combining the corresponding to-be-tested accounts into a to-be-identified gang; and performing association degree calculation on the to-be-identified gang and a preset historical existing gang based on the network fraud data to obtain a second association degree, and if the second association degree is greater than a second association degree threshold, combining the to-be-identified gang and the historical existing gang into a fraud gang. According to the method, the network fraud gang can be quickly and accurately identified, and identity of the fraud gang can be traced back.

The invention provides an identity card information transmission protection method and system. The method comprises the following steps of S1, carrying out invisible coding on an identity card number, thereby obtaining invisibly coded data; S2, carrying out segmental encryption on the invisibly coded data, thereby obtaining encrypted data; S3, sending the encrypted data and a decryption dynamic library for decryption; S4, decrypting the encrypted data through utilization of the decryption dynamic library, thereby obtaining decrypted data; and S5, decoding the decrypted data, thereby obtaining original identity card number information. Through application of the method and the system, the lost identity card number can be encrypted and transmitted to various departments such as a financial institution, industrial and commercial registration, education, insurance and telecom; a lawbreaker can be effectively prevented from carrying out financial fraud, internet fraud and telephone fraud through utilization of an identity card of others; chances for a criminal to exploit are objectively reduced; and personal and social losses are reduced.

The invention provides an early warning method and device for network fraud, and computer equipment. The method comprises the following steps: establishing and training a plurality of base models for cheating tendency score, wherein each base model is used for predicting the cheating tendency of an associated user of user equipment; monitoring associated user equipment of a deceived user in a recent specific time period, and determining candidate variables; screening the candidate variables according to the influence degree of each candidate variable on the deceived result to obtain a target base model and target user equipment characteristics; obtaining features of a new access device, and carrying out similarity and cheating tendency score calculation; and carrying out early warning of telecommunication or network fraud according to the similarity of the new access equipment and the deceiving tendency score. Compared with the prior art, whether telecommunication or network fraud early warning is carried out on the new access equipment or not can be accurately judged, and a user can be reminded in advance to avoid telecommunication or network fraud.

The invention belongs to the technical field of knowledge graph application, and particularly provides a network fraud identification method and system based on a knowledge graph, and the method comprises the steps: constructing a mode layer of a network fraud knowledge graph from top to bottom; loading data to the data layer of the network fraud knowledge graph; based on the constructed network fraud knowledge graph, fusing a third-party knowledge base in a data layer, and expanding the data volume of the data layer of the network fraud knowledge graph; discretizing and normalizing attribute frequency values of key behavior relationships in the network fraud knowledge graph, and converting the attribute frequency values into weight values of graph edges; and based on a network fraud case graph, by utilizing a spark graphics graph and an LPA algorithm, identifying a criminal gang, and then by utilizing a PageRank algorithm, identifying core members in the gang. The network fraud case and the criminal gang can be effectively organized through entities, relationships and attributes by using the strong relevance of the knowledge graph. The case detection efficiency is improved, and the occurrence rate of network fraud cases is reduced.

The invention provides a detection method for network fraud information, comprising an information extraction server, a fraud information detection cloud platform and a communication network. When theinformation extraction server receives the information sent by the user, a network link, a telephone number or a bank account number, which may contain fraudulent content, is extracted from the network link, the telephone number or the bank account number, and the suspected fraudulent information is called, then the suspected fraudulent information is detected to determine whether the fraudulentinformation exists or not, and if so, the user is notified, otherwise the suspected fraudulent information is sent to the fraudulent information detection cloud platform. The fraud information detection cloud platform further detects the suspected fraud information to determine whether there is fraud. The fraud information detection cloud platform transmits the detected result to the information extraction server, and the information extraction server sends the result to the user. The invention can reduce adverse influence or loss caused by various network fraud information to smart phone users, personal computer users and the like, thereby providing an effective network fraud prevention mode.

The invention discloses an internet lottery drawing method and system. The method comprises the following steps of a WeChat user follows a WeChat public account and carries out registration; the WeChat public account posts lottery drawing activity information; the WeChat user draws a lottery through the WeChat public account; the WeChat public account sends winning information to the won WeChat user; the won WeChat user sends contact information to the WeChat public account; the WeChat user finishes getting a prize offline; a WeChat public platform is connected with a database to manage the WeChat user who participates in lottery drawing; and the WeChat public account provides an activity participating page to realize the information interaction of merchants and users. By use of the technical scheme of the invention, since an internet lottery drawing activity is carried out on the WeChat platform, the characteristics of being cheap and convenient of the internet can be performed, internet fraud and merchant fraud can be avoided, and the safety of internet lottery drawing is improved.

The invention discloses a telecommunication Internet fraud identification method based on an XGBoost algorithm. The method comprises the following steps: carrying out encryption processing on originaltelecommunication Internet data; processing mobile phone internet surfing and position moving data, and extracting internet data internet surfing features; sampling the feature data set by adopting KMeans downsampling to form a final data set; initializing model parameters, performing verification by using the test set, calculating the accuracy, recall rate and F1 score of the model, and evaluating the model; obtaining an optimal XGBoost model, and serializing and storing the model through adoption of picks in a server; carrying out deserialization on the model by using picks, and constructing an API by using a Flask framework; and when the call record arrives, inputting the data into the XGBoost prediction model, and returning a result after model prediction. By adopting the XGBoost machine learning algorithm, telecommunication internet fraud can be accurately recognized, and the problems of misjudgment, missed judgment and other cases in the public security case judgment process areeffectively solved.

The invention relates to a method, a website or a product capable of reducing fraud for remitters to different places. Nowadays, when people buy products or services online, they are extremely afraid of being cheated by some online scammers when sending money. After the money is sent, they cannot get the products or services promised by the other party, so these problems will appear on the Internet. One of the reasons is that the remitter does not recognize the payee at all. Once the remittance is cheated, they have to report the case to the public security department, and there is not even a photo of the other party. This makes the public security department solve such cases. It is also difficult. The method, website, and product provided by the present invention can greatly help people prevent remittance fraud, and even if remittance fraud occurs, it can provide some convenience for the Ministry of Public Security to solve the case.

Embodiments of the invention provide a communication network fraud identification method and apparatus, and an electronic device. The invention discloses a communication network fraud identification method. The electronic devicereceives a communication request of a communication opposite terminal, and then establishes communication connection with a communication opposite terminal; then, the electronic deviceacquires equipment information of the communication opposite terminal; thedata of a first user is acquired by using the electronic device and a second user using the communication opposite terminal in the communication process; risk analysis is carried out according to the equipment information of the opposite communication terminal; text analysis, environment analysis and voiceprintrecognition are carried out according to the collected data; and finally, according to a risk analysis result, a and/or the prompt information is output to the first user according to the results of the text analysis, the environment analysis and the voiceprint recognition, so that the information output by the communication opposite terminal in the communication process can be recognized and prompted at the first time when the two communication parties begin to communicate, and accompanying risk management and control are realized.

The invention provides an identity authentication method and system. The method comprises the following steps of 1, performing site photography on a user to obtain a site photo; 2, scanning an identity card of the user to obtain an identity card image; 3, performing image comparison on the site photo and the identity card image, and if an image comparison result is that the site photo is not matched with the identity card image, indicating that identity authentication fails, otherwise, entering the step 4; and 4, comparing the site photo with photos in a big data photo database one by one, andif an image comparison result is that the site photo is not matched with the photos in the big data photo database, indicating that the identity authentication fails, otherwise, indicating that the identity authentication succeeds. Through the method and the system, personal identity authentication can be effectively performed; lawbreakers can be effectively prevented from performing financial fraud, internet fraud and phone fraud by utilizing identity cards lost by others; the exploitable opportunities of criminals are objectively reduced; and the personal and social loss is reduced.

The invention discloses an anti-communication network fraud identification method based on feature classification, and relates to the technical field of anti-communication network fraud, and the method comprises the following steps: S1, data receiving; S2, data analysis; S3, data feedback confirmation; S4, performing manual auditing processing; S5, processing suspected data; and S6, processing result displaying, wherein, in the step S1, the data acquisition device internally comprises a data acquisition unit, a data processing unit and a CPU interface, the CPU interface is electrically connected with the data acquisition unit, and the data acquisition unit is electrically connected with the data processing unit. According to the method, the network fraud data can be better intercepted andcontrolled, the identification degree of the network fraud data is higher, external personnel are effectively prevented from receiving the network fraud, the unstored fraud data can be transmitted into the big database to be stored, an operator can match the next group of fraud data conveniently, and the identification and interception efficiency is improved.

The invention discloses an electronic data comprehensive evidence storage method. The method comprises the following steps: S10, an identity verification request: carrying out identity compliance andsecurity verification on a user individual; S20, requesting data preservation: analyzing certificate storage data pre-collected by a user individual in the data certificate storage request in a business execution process, encrypting the certificate storage data by an electronic data certificate storage background service, generating a unique identifier, and storing the unique identifier into a database; and S30, evidence storage cloud data synchronization: synchronizing the evidence storage data preserved to the database in the step S20 to an electronic data evidence storage cloud system. Theinvention further discloses an electronic data comprehensive evidence storage system which comprises an electronic data evidence storage application program, a data evidence storage background servicesystem and an electronic data evidence storage cloud system. Key data in internet telecommunication network fraud can be stored in the data storage cloud system, a victim can be helped to fix electronic data at the first time, and the storage data can be quickly synchronized to related public security organizations.

The invention relates to a network fraud number detection method, and the method comprises the steps: firstly designing corresponding features for information fraud behaviors, carrying out the feature extraction of a user behavior log, constructing an original feature matrix, and carrying out the data preprocessing; then, according to the unbalance degree of the proportion of normal users and risk users in the original feature matrix after data preprocessing, carrying out minority class sample oversampling by adopting a self-adjusting oversampling algorithm, and reconstructing a training set; then carrying out pre-training, feature importance evaluation and feature screening through an XGBoost model; then, carrying out model training on the reconstructed feature matrix by using an XGBoost model and a LightGBM model; and finally, improving the model performance through a Stacking multi-model fusion mode, obtaining a two-layer model Logistic, and completing a mobile network risk user identification model. According to the invention, the accuracy and robustness of fraud number identification in network communication can be improved, and the actual application requirements are met.

The invention relates to the technical field of internet finance, in particular to an internet financial risk control system. The following steps are adopted: 1, in a network transaction, a transaction account main body adopts identity information real-name registration, a mobile phone account is a transaction payment sub-account, and a digital password and a fingerprint password are set to form apayment private key; an associated account is required to be registered, the associated account takes a mobile phone account as registration, and a verification code received by the mobile phone account is a payment mother key; 2, after the network transaction is completed, for an initial transaction account, a payment platform is entered firstly when strange account electronic payment is carriedout, and face appearance and fingerprint verification is carried out; according to the invention, by setting double associated accounts and combining private key payment and mother key payment, the linkage of three parties for strange accounts is realized, and the payment risk is minimized, so that financial fraud, network fraud and the like are effectively prevented, and the risk management andcontrol of financial payment are realized.

The invention discloses an IMS (IP Multimedia Subsystem) network-based fraud call interception implementation method, which comprises the following steps: at a fraud call interception platform side, receiving a first call triggered by an IMS network, storing call parameters carried by the first call, wherein the call parameters comprise a calling number, a called number and a call identifier; and when an interception request from an external system is received, querying the stored call parameters according to at least one or any combination of a calling number and a called number carried by the request, and if the stored call parameters are queried, sending a disconnection signaling to the IMS network so as to enable the first call to be disconnected. According to the invention, fraud phone monitoring and interception can be carried out on the call based on the IMS network, communication can be cut off in real time, and new business services can be provided for users.