50results about How to "Avoid aggressive behavior" patented technology

The invention discloses a method and a device for verifying message safety. By using the technical scheme of the invention, simple user validation judgment can be carried out on an access device to effectively verify the user validation at a position closest to a user, thereby preventing the attack of a message with a user-forged IP on an uplink network at an end point.

Email sending method based on the scalable message online protocol and credit mechanism belongs to the network security area. Its features are as follows: this method utilizes the IM platform based on the XMPP protocol to effectively guarantee the true source identity. The 'pull mode' transmission mode is used in the Email sending. The IM platform is used to maintain the characteristics of the online status of the user and the block transfer mode is combined with the direct transfer mode between the sender and receiver in the message transfer. The method invents the distinct combination mechanism of the credit mechanism and blacklist policy and can real time prevent the rubbish message attack. The method can be deployed on the IM platform based on the XMPP protocol which is extensively used now. The method adopts the server forwarding and end-to-end direct message transfer solution, so it can alleviate the load of the old server and can not affect the performance of the old IM service.

The embodiment of the invention provides a method, an apparatus and a device for network attack behaviors prediction, and a storage medium. The method provided by the embodiment of the invention comprises the following steps: performing feature extraction and identification for a to-be-processed log according to a log parsing model, thereby obtaining feature data of the to-be-processed log and information of the device to which the to-be-processed log; according to the feature data of the to-be-processed log and the information of the device to which the to-be-processed log, determining security event data; and according to the security event data and an attack prediction model, predicting whether network attack behaviors happen. Thus, parsing and identification efficiency for the log is improved, the network attack behaviors which are going to happen can be predicted before the network attack behaviors happen, a base is provided for effectively avoiding the network attack behaviors, and security of a network device can be guaranteed effectively.

The embodiment of the application discloses a method and a device for identifying user behavior based on slider authentication code verification. The method comprises the following steps: first user operation data for starting a target service is obtained, the first user operation data including first user identification information and first page operation data; A target slider verification codeis output to the user interface according to the first page operation data, and first slider operation data for user authentication based on the target slider verification code is obtained from the user interface; The user behavior identification model verified by the slider authentication code is determined according to the first user identification information, and a user behavior category corresponding to the first page operation data and the first slider operation data is determined based on the user behavior identification model; user authentication is completed or user authentication isdisconnected according to the user behavior category. By adopting the embodiment of the application, the user authentication security based on the slider authentication code authentication can be improved, the network attack of the slider authentication code authentication can be effectively prevented, and the security is higher.

The invention discloses a distributed key management system applied to urban rail transit. The system comprises a block chain network composed of a plurality of block chain nodes and a plurality of train operation control subsystems, each train operation control subsystem is configured to be connected with one block chain node; for the train operation control subsystems connected with the block chain nodes, the block chain nodes connected with the train operation control subsystems realize communication with other external train operation control subsystems and realize signature and authentication of communication data packets among the train operation control subsystems. According to the invention, a distributed secret key management mechanism of the urban rail transit is realized, and the safety and the anti-attack capability of an urban rail transit control system are improved.

The invention discloses a multi-information fusion human exoskeleton robot control protection system. The system comprises a plurality of inertia measurement assemblies, a plurality of electromyogramsensors, respiration sensors, a depth camera and machine learning processing computers, wherein the inertia measurement assemblies and the electromyogram sensors are installed at arms and legs of a human body, the respiration sensors are installed on a chest, the depth camera is worn on a head, and the machine learning processing computers are installed at any position of the human body; effectivedata acquired by all the sensors at a certain moment are used as input of an LSTM neural network based on a BPTT algorithm, the sum of time consumed by processing a machine learning algorithm throughthe computers and the maximum delay time of receiving control signals by a steering engine at each position of the robot from the moment is used as a time interval, a control signal representing a movement intention of the human body at the moment after the time interval is used as output, a nonlinear function mapping relation which is difficult to express through an analytic expression in engineering is established through neural network training, the movement intention of the human body at the next moment is judged through the action at the moment, so that a function that the correspondingcontrol signal is output is achieved.

The invention discloses a psychological accompanying robot and an emotion supporting method. The psychological accompanying robot comprises an emotion recognizing module, an emotion comforting and supporting module, an operational analysis control module and a data transmission module, wherein all the modules are integrated to a mechanical shell and are arranged in a doll cotton cover. The psychological accompanying robot acquires the information such as the expressions, actions and languages of a user through the emotion recognizing module, analyzes and judges the emotions through the operational analysis control module, generates an emotion supporting strategy and then achieves psychological accompanying through the emotion comforting and supporting module. Communication between the robot doll and a mobile phone can be achieved through the data transmission module, and integration of all the information and sharing of equipment hardware can be achieved. According to the psychologicalaccompanying robot and the emotion supporting method, the psychological accompanying robot can be carried along as a mascot or a pendant, interaction can be achieved through the modes such as the expressions, actions and sounds to carry out psychological accompanying and emotion comforting, and the psychological accompanying robot can become a most faithful friend and a companion of the user.

The invention discloses a method of a service supporting system used for preventing Dos attack; when the user initiates service transaction request, the user ID is used to generate a user transaction behavior index counter at the upstream link of request disposal of the service supporting system; during one counting period, when the user transacts the service once by the service supporting system, the corresponding user transaction behavior index counter is counted and then compared with the user transaction behavior threshold; if the count of the counter exceeds the allowance of the threshold, the service request is refused in the link; if the count of the counter does not exceed the allowance of the threshold, the service request is allowed to continue to be processed in the downstream link of the service supporting system. The method starts from the application layer, analyses the normal operation index of the user, utilizes the unusual threshold to judge the attack behavior at the upstream link of the service supporting system, blocks the attack request to be transmitted to the downward request processing system when the Dos attack occurs, thus achieving the purpose of preventing the Dos attacks.

The invention relates to the technical field of information security and provides a verification method for an application program, terminal equipment and a storage medium. The method comprises the steps that after the application program is installed, a core assembly of the application program is encrypted to generate ciphertext, the generated ciphertext is stored in a preset storage space, undera preset trigger mechanism, the core assembly of the application program is encrypted again to generate the ciphertext, the newly-generated ciphertext is matched with the ciphertext stored in the storage space, and if matching fails, the application program is forbidden from running or the running application program is forced to be stopped. According to the verification method, the legality of the installed application program can be verified.

The invention provides a method, apparatus and system for identifying an access device of an industrial control network, and relates to the technical field of information security. The method for identifying the access device of the industrial control network comprises the following steps: obtaining device information of the access device in the industrial control network; and determining whether the access device is an unknown device according to the device information and an access device sample database. The technical scheme provided by the embodiment of the invention has the following beneficial effects: an access device identification scheme suitable for the industrial control network is provided, on one hand, the access device in the industrial control network can be identified effectively and accurately in real time, thereby improving the security of the industrial control network (for example, avoiding network attack behaviors and the like) on one hand, and on the other hand, the access devices accessing the industrial control network can also be effectively managed for the convenience of supervision.

The invention provides a mind companion method and device, a robot and a computer storage medium. The method comprises: receiving voice information from a user and acquiring a keyword in the voice information; determining whether the keyword is in a preset keyword bank; and identifying the voice information and determining the user's event and a user reaction if so, and psychologically identifyingthe user through a psychological crisis early warning model. The invention can identify the psychological abnormality of the user according to the voice information of the user and perform abnormality early warning, can find the psychological problems of the user as early as possible so as to take corresponding measures timely, and can prevent the user from over-excited behaviors due to the neglect of the psychological abnormality.

The invention provides an account risk evaluation method based on a geographic position, and the method comprises the steps: S1, storing an account profile in an account database, and enabling the account profile to comprise data related to a transaction account, the account profile at least comprises a first profile rule associated with a first geographic position and a second profile rule associated with a second geographic position, and the second geographic position is different from the first geographic position; s2, receiving, by the receiving device, an authorization request involving a first payment transaction associated with a related transaction account. According to the account risk evaluation method based on the geographic position, the account risk is judged according to the geographic position migration, so that the account with the risk is accurately identified and locked, and the loss caused by the fact that the account is utilized by a hacker gang is prevented.

The invention discloses an emotion recognition and guiding method, device and equipment and a readable storage medium. The method comprises the steps that to-be-recognized content information is acquired from a target terminal; wherein the content information comprises at least any one of character information, voice information and picture information; utilizing a preset emotion recognition model to respectively calculate emotion values corresponding to the character information, the voice information and the picture information; determining a comprehensive emotion type of the target user according to emotion values corresponding to the text information, the voice information and the picture information; obtaining recommended content corresponding to the comprehensive emotion type, and sending the recommended content to the target terminal; according to the invention, the current emotion information of the user can be identified more accurately, and the emotion of the user can be guided frontally.

The invention discloses a data processing method and device, electronic equipment and a computer readable storage medium. The method comprises the steps that an encryption request sent by an encryption terminal is received, the encryption request is used for requesting to encrypt data to be encrypted, and the encryption request carries a communication number of a first target object; determining an attribution of the communication number in response to the encryption request; an asymmetric key is determined according to the attribution of the communication number, and the asymmetric key comprises a public key and a private key; and sending the public key to the encryption terminal, so that the encryption terminal encrypts the to-be-encrypted data by using the public key to obtain encrypted data. According to the method and the device, the technical problem of data leakage caused by the fact that the secret key is easy to crack when the data is encrypted and transmitted by using the static secret key in the related technology is solved.

The present invention relates to a wheelchair special for prisoners. An ejection rod motor is longitudinally fixedly arranged on one side of the part, below a chair seat and chair back portion, of a frame; a rotating rod is laterally mounted on the middle part of the frame; the two ends of the rotating rod sleeve inside sleeves fixedly arranged on the frame; foot ring rods are fixedly arranged on the parts, on both sides of the frame front part, of the frame in a longitudinally symmetric manner, and a foot ring is arranged at the front end of each foot ring rod; a pair of mounting clamping plates are fixedly arranged on the parts, corresponding to the end parts of an ejection rod of the ejection rod motor, at the lower part of the rotating rod, and the mounting clamping plates are fixedly arranged on the ejection rod ends of the ejection rod motor by bolts; and vertical plates are fixedly arranged on the upper parts of the both sides of the rotating rod, each of the two vertical plates is fixedly provided with a longitudinal pull rod by bolts, and the front ends of the pull rods are fixedly arranged on the foot rings. The wheelchair is simple in structure, scientific in design and clever in conception, and can control the action of upper and lower limbs of the prisoners in the wheelchair and avoid the occurrence of malignant accidents, thus belonging to one of indispensable facilities in prison.

The invention provides a to-be-monitored data analysis/processing method/system, a medium and a service/client. The to-be-monitored data analysis method of a monitored person comprises the following steps: receiving to-be-monitored data; analyzing the to-be-monitored data according to a pre-built data model so as to judge whether the to-be-monitored data of the monitored person is abnormal or not,if yes, forming alarm information, and sending the alarm information to a supervisor paying attention to the monitored person; after the supervisor verifies the alarm information, providing an abnormal event processing strategy corresponding to the alarm information; and if not, ending the process. According to the invention, daily action behavior data and vital sign data of a monitored person are collected, a big data analysis technology is used, the data is compared with daily data, abnormal conditions are found in time through quantitative data, the overshoot behavior of the monitored person is prevented, and the fine management level of supervisors in a special area is improved.