116results about How to "Reduce the risk of privacy breaches" patented technology

The embodiment of the invention discloses a method and device for protecting privacy and relates to the technical field of electronic information. According to the method and device, position information and privacy leakage of a user can be reduced. The method includes the steps that the actual position of a mobile terminal is obtained, a false position is selected according to the actual position, and the coverage range of service information of the actual position is within the coverage range of service information of the false position; data of the false position are uploaded to an LBS server; the range service information sent by the LBS server is received and at least includes the service information of the false position, and the service information of the false position is obtained through the LBS server according to the data of the false position. The method and device are suitable for scenes where the privacy of the user is protected in LBS.

The embodiment of the invention discloses a video processing method and apparatus, a terminal and a storage medium. The method comprises the following steps: obtaining a video frame; identifying character image information in the video frame; and shielding other characters excluding a preset character in the video frame according to the identified character image information to obtain a processedvideo frame. By adoption of the technical scheme provided by the embodiment of the invention, by shielding the other characters excluding the preset character in the video frames in a video process, the information of the other characters who do not participate in a video in the surrounding environment of the video is shielded, thereby protecting the privacy information of the other characters, reducing the risks of accidental privacy leakage and improving the privacy security.

The invention discloses an image privacy decision recommendation system and method under a social network on the basis of a privacy rule and perceptual Hash. The invention is characterized in that the system comprises a privacy object registration module, a privacy rule definition module and a privacy decision recommendation module, wherein the privacy object registration module provides a registration function of an object to be protected for a user; the privacy rule definition module defines a privacy security level for a to-be-protected objet of the user; and the privacy decision recommendation module identifies a to-be-uploaded object of the user, compares the to-be-uploaded object of the user with a protected object in a Hash fingerprint database and a privacy rule in a privacy rule base, and finally submits the privacy security level of the to-be-uploaded object to the privacy decision recommendation module of the user. The quick and convenient automatic calculation of the privacy level and decision recommendation can be realized, and the leakage risks of individuals and the families of the individual can be effectively lowered so as to greatly improve the protection safety of user individual image privacy.

The invention discloses an anonymous area generation method and a location privacy protection method. The anonymous area generation method is used for generating an anonymous area based on a spatial K anonymous method; a multi-level access protection mechanism is adopted in the location privacy protection method; the location privacy protection method performs cache normalization; when a target user sends a LBS request, POI data is obtained according to the priority levels of a target user local, a neighbour user in a network and a LBS server; furthermore, when the POI data is obtained from the LBS server, generation of the anonymous area is carried out by adopting the anonymous area generation method; the LBS request is sent to the LBS server based on the anonymous area as the anonymous location of the user; and furthermore, the POI data returned by the LBS server is output. By means of the anonymous area generation method and the location privacy protection method disclosed by the invention, the location privacy of users is protected in combination with a cache method and the spatial K anonymous method; therefore, inquiry requests sent by users can be reduced to the most extent; furthermore, the privacy protection level of the users can be improved; and thus, the problems that the burden of the server and a channel is too heavy and the information repetition utilization rate is low can be well solved.

The invention discloses a balance management method, system and device and storage medium, and belongs to the technical field of block chains. The method comprises the steps that a wallet constructinginput UTXO used in transaction and assigned to a frozen UTXO container by the wallet; if the transaction is successfully executed, moving the input UTXO of the wallet in the transaction from the frozen UTXO container to a spent UTXO container; and recording the output UTXO received by the wallet in the transaction into a usable UTXO container; if the transaction is executed unsuccessfully or thetransaction is overtime due to the fact the transaction is not executed for a long time, moving the input UTXO of the wallet in the transaction from the frozen UTXO container to a usable UTXO container. The method can improve the expansibility and flexibility of an account balance management mode. The privacy safety of a user can be improved, and the risk of privacy leakage is reduced.

The invention provides Internet of Things service unloading decision-making methods based on edge computing and deep reinforcement learning, and belongs to the technical field of internet-of-things application. According to the Internet of Things service unloading decision-making methods, the Internet of Things is constructed into SDIoT containing a plurality of regions, wherein the regions comprise region SDN controllers configured with service unloading decision-making models, and the region SDN controllers output service unloading decisions of an intelligent service in the regions accordingto the configured service unloading decision-making models. According to the invention, the inherent network structuralization problem in the traditional IoT is solved, the SDN technology is utilizedto separate a network control plane from a data forwarding plane, the whole network centralized view is obtained, the network security performance is ensured, and the powerful resource management andcontrol arrangement capability brought by a programmable interface is further obtained.

The invention discloses a method for obtaining behavioral data. The method for obtaining the behavioral comprises log data obtaining, wherein the log data carries with tagged information. The method for obtaining the behavioral data also comprises feature matching for the tagged information of the log data according to the matching rule preset, segmentation processing for the log data that meets the matching rule preset and classification processing for the log data that is unmet, the relevant log data defining and the relevant data encrypting according to the encryption algorithm preset, the encrypted data exporting. The invention further discloses a device for the behavioral data.

The embodiment of the invention provides an information protection method and a terminal device. The method comprises the steps that under the condition that a preset application program generates a calling behavior for calling preset privacy resources and the calling behavior is not generated based on user operation, the running state of the preset application program is obtained, and the privacyauthority of terminal equipment allows the preset application program to call the preset privacy resources; and if the running state of the preset application program does not meet the preset condition, the calling behavior is stopped and early warning information is outputted. According to the method, for the preset application program that is allowed by the privacy permission of the terminal equipment to call the preset privacy resource, the preset privacy resource cannot be called under all conditions. And under the condition that the running state does not meet the preset condition, the user can still control the calling behavior of calling the preset privacy resource by the preset application program, so that the risk of user privacy information leakage is reduced, and the security of user privacy information protection is improved.

The invention discloses a remote hosting system, method and device for a mobile terminal. The system comprises a server and at least one mobile terminal, wherein the server is used for providing at least one virtual machine, each virtual machine is corresponding to one mobile terminal, the virtual machine is used for running the operating system of the mobile terminal and the application programs in the mobile terminal, when the server communicates with the mobile terminal, the virtual machine provides interactive interface and interactive data for the mobile terminal; the at least one mobile terminal comprises a communication module which communicates with the server, a display screen used for displaying the interactive interface and interactive data received from the server, and a man-machine interaction module used for receiving the commands of a user and sending the commands of the user to the server through the communication module. The remote hosting system is capable of improving the running efficiency of the operating system and application programs, simplifying the necessary structure of the mobile terminal, improving the safety and improving the user experience.

Research on privacy protection mechanism based on user behavior. With the development of mobile Internet technology, social network has gradually become an important part of people's daily life. Usersdisclose personal information and share real-time dynamic in various social network platforms at the same time, but also brings the risk of privacy disclosure. Users need a privacy protection mechanism to more effectively protect their personal information on mobile social platforms from abuse. The invention aims at the problem that the current privacy protection method can not protect the privacy data of users in the mobile Internet very well, be combined with the characteristics of user behavior in mobile Internet, a privacy protection mechanism based on user behavior in mobile Internet isproposed and applied to mobile social APP, which provides better data protection for users, reduces the risk of privacy disclosure and improves the quality of service of mobile Internet.

The present invention discloses a method and a system for cloud detection of malicious software based on a Hash characteristic vector. The method comprises the following steps of: S1, malicious software characteristic vectors are processed; S2, a cloud server side sends the malicious software characteristic vectors to a terminal, and incrementally pushes updates of the characteristic vectors to the terminal whenever a malicious software characteristic database is updated; S3, the terminal maps local files to be scanned through a segmented BF algorithm, fuzzily scans the local files to be scanned with the malicious software characteristic vectors and sends matching results to the cloud server side; and S4, the cloud server side further accurately scans the matching results and returns confirming results to the terminal. The system is used for implementing the method. By virtue of the method and the system, the network, computing and storage costs of the malicious software detection terminal can be reduced as far as possible; the terminal is enabled to submit file information to the cloud server as little as possible, so that the privacy of the terminal can be protected.

The invention discloses a method and a system for friend relation authentication through contacts on mobile terminals. Contacts in the mobile terminals are stored as distributed data and dynamically submitted friend lists are matched by a server to confirm friend relation. For people being friends realistically (each of the both sides has the contact of the opposite side in mobile terminals), a redundant authentication process is omitted; and for people not in the friend relation in reality, harassment can be prevented.

The invention provides a picture fuzzy processing method and system. The picture fuzzy processing method includes obtaining a target picture; determining a fuzzy object of the target picture according to a preset fuzzy object and determining a fuzzy area corresponding to the fuzzy object; and performing fuzzy processing on the fuzzy area. The picture fuzzy processing method provided by the invention can automatically identify the fuzzy area corresponding to the fuzzy object in the picture, does not need a user to operate for multiple times, and reduces the risk of privacy leakage on the premise of ensuring that the picture is beautiful.

The invention discloses a track privacy protection method based on a buffering and position predicating mechanism. According to the method, a multistage buffering mechanism is used in a client and ananonymous device; and a candidate result set which is obtained through searching by a user is buffered, thereby supplying the candidate result set for use by the user at the subsequent searching pointin continuous LBS searching or use by other users, reducing interaction between the user and an LSP, and reducing risk of user information exposure to the LSP. Furthermore through a movement positionpredicating method based on Markov, an anonymous domain is formed according to data timeliness and user searching probability, thereby improving buffering hit rate and user track privacy protection,and reducing searching expenditure of the LBS server.

The embodiment of the invention relates to the technical field of communication and discloses a switching control method and device for an answering mode of a user terminal and the user terminal. The method comprises the steps of when the user terminal is in a call state or plays a voice, detecting the relative distance between the user terminal and an ear of a user through a distance sensor arranged at the user terminal; and controlling the answering mode of the user terminal to be switched between a hands free mode and a telephone receiver mode according to the relative distance. Through application of the embodiment of the invention, the answering mode is smartly switched, the voice is prevented from being eavesdropped by others when a call is carried out or when the voice is played, a risk of leaking privacy is reduced, and the privacy of a user is protected.

The invention provides an intelligent wristband device, which can realize hiding and exposing of a camera lens so as to improve the privacy protection performance of the device and reduce the risk ofprivacy leakage of a user. The intelligent wristband equipment comprises an equipment main body and a camera module, and the camera module comprises a lens; a telescopic receding hole is formed in theside face of a shell of the equipment main body, the camera module is provided with a first position enabling the lens to be kept exposed out of the shell and a second position enabling the lens to be kept hidden in the shell, a telescopic mechanism is further installed on the equipment main body, and the camera module is switched between the first position and the second position by operating the telescopic mechanism so that the camera module can extend out of or retract into the telescopic receding hole. The camera lens can be hidden and exposed, the lens is exposed when the camera needs tobe used, and the lens is hidden in the shell when the camera does not need to be used, so that the privacy protection performance of the device is improved, and the privacy leakage risk of the user is reduced.

The embodiment of the invention discloses a published data generating method. The method comprises the following steps: classifying and counting the original data according to a preset statistical category, and forming statistical data by using the statistical values corresponding to each statistical category obtained by classification and statistics; Selecting a differential privacy algorithm forstatistical data; according to the privacy budget of the selected differential privacy algorithm, the statistical data are sorted, the sorted statistical data are merged, and the merged statistical data are noised to generate published data. The embodiment of the invention also discloses a generating device and a server for publishing data.

The embodiment of the invention provides a training method of a service prediction system. The service prediction system comprises a public model maintained by a server and a plurality of local models deployed in a plurality of user terminals. The method is executed by a server, and comprises the following steps: acquiring a plurality of common sample sets corresponding to a plurality of users, and training a common model by using the common sample sets; then, based on the trained public model, joint training including multiple rounds of iteration is carried out on the multiple local models, any round of iteration comprising the steps that for any first user, the public model is used for processing a public sample corresponding to the first user, a public prediction result is obtained, and the public prediction result is sent to a corresponding first terminal; then, receiving parameter update data of the first local model from the first terminal, which is determined based on the public prediction result and a local sample of the first terminal; and then, on the basis of a plurality of parameter update data received from the plurality of terminals, determining the parameters subjected to the joint update in the round, and providing the parameters to the plurality of terminals.

The invention discloses a track privacy protection method based on position service. The method comprises the following steps: step 1, generating a fuzzy region BA according to a real position location of a user; 2, replacing the real position location of the user with a fuzzy region BA, randomly selecting an anonymous server from a plurality of anonymizers, and sending a query request (id, BA, t,query, k) to the anonymous server; 3, after the anonymous server receives the request information sent in the step 2, a selecting position point Li in a fuzzy area BA according to a road network; 4,enabling the anonymous server to generate an anonymous query request according to the Li generated in the step 3; and step 5, sending an anonymous query request to the location service provider. The real-time trajectory privacy protection method is researched on the basis of a multi-anonymizer system structure privacy protection model, and a method of combining location ambiguity and K-anonymity is provided, so that the purposes of enhancing trajectory privacy protection and ensuring data availability are achieved.

The embodiment of the invention provides a model training method and device, electronic equipment and a storage medium. The scheme is as follows: the server determines a plurality of training devices,sends a training instruction to a plurality of training devices, wherein the training instruction comprises a first model parameter; a second model parameter sent by each piece of training equipmentis received, wherein the second model parameter is obtained by training preset model by training device based on training instruction and training data, the training data is determined according to user data in the training equipment; obtaining a third model parameter by utilizing a joint average algorithm according to a plurality of received second model parameters, judging whether a preset modelcomprising the third model parameter is converged or not, and if yes, determining the third model parameter as the model parameter after training of the preset model is completed. Through the technical scheme provided by the embodiment of the invention, the risk of user privacy disclosure is reduced.

The invention discloses a method for detecting privacy leak of a user based on multi-task learning, a server and a system. The method for detecting privacy leak of the user based on multi-task learning comprises the following steps: for comprehensive representation of privacy of the user, dividing the privacy of the user into a plurality of fine-grained privacy categories in advance, and dividingthe fine-grained privacy categories into a plurality of groups to form group structural information for privacy of the user; extracting privacy characteristics of the user from different direction torepresent the privacy categories of the user in an all-round manner; constructing a prediction model based on the extracted privacy characteristics of the user; and introducing multi-task learning, enabling each task in the same group to share related characteristics, and performing characteristic grouping by taking the group structural information of the privacy of the user as a priori by use ofa group lasso model. Therefore, the modeling performance for detection of privacy leak of the user and interpretability of the model are improved.

Embodiments of the present specification disclose a data encryption, machine learning model training method, apparatus, electronic apparatus, and data encryption system. The data encryption method comprises the following steps: the encrypted data to be encrypted is randomly mapped by a random matrix to obtain the encrypted data corresponding to the data to be encrypted, and the encrypted data is used for training a machine learning model.