Security Prejudgment based on Characteristic Information

Abstract

An example method of security prejudgment based on characteristic information include receiving characteristic information of a monitored party from the monitored party, calculating security status information of the monitored party based on a probability of danger that has been stored and corresponds to the characteristic information of the monitored party, determining that the security status information is greater than a first threshold, performing an appropriate operation based on the determination. Accordingly, the technical solution of the present disclosure solves a problem that presetting of monitoring conditions cannot cover potential surrounding risks that result in a safety hazard. Further, the technical solution can monitor risks that are not reflected by spatial information. After identifying and warning based on the characteristic information, potential risks may be avoided before occurring without wasting data traffic.

1 - 20 . (canceled) 
     
     
         21 . A method comprising:
 receiving characteristic information of a monitored party from the monitored party;   calculating security status information of the monitored party based on a probability of danger that has been stored and corresponds to the characteristic information of the monitored party;   determining that the security status information is greater than a first threshold; and   performing an appropriate operation based on the determination including:
 transmitting to a predetermined monitoring party a login key used for acquiring the characteristic information of the monitored party if the security status information is greater than the first threshold, and transmitting an instruction to the monitored party to set a predetermined time interval for acquiring the characteristic information as real-time access; and 
 transmitting a prompt message generated based on the characteristic information of the monitoring party to the monitored party if the security status information is not greater than the first threshold. 
   
     
     
         22 . The method of  claim 21 , wherein the calculating the security status information of the monitored party based on the probabilities of danger that have been stored and correspond to the characteristic information of the monitored party includes a calculation based on Bayes' theorem using at least two probabilities of danger. 
     
     
         23 . The method of  claim 21 , wherein the transmitting to the predetermined monitoring party the login key used for acquiring the characteristic information of the monitored party comprises transmitting to the predetermined monitoring party the login key used for acquiring the characteristic information of the monitored party via an SMS text message. 
     
     
         24 . The method of  claim 21 , wherein the monitored party is a mobile terminal, and the characteristic information of the monitored party comprises at least one of current location information, current time information, movement status information, gender of a user of the mobile terminal, or age of the user of the mobile terminal. 
     
     
         25 . The method of  claim 21 , wherein the monitored party comprises a smart device capable of monitoring health information of a user of the smart device, and the characteristic information of the monitored party includes the monitored health information of the user comprising at least one of a gender, an age, a heart rate, a body temperature, or a respiration rate. 
     
     
         26 . The method of  claim 25 , wherein the calculating the security status information of the monitored party is based on Bayes' theorem using a probability of danger that has been stored and corresponds to the characteristic information of the monitored party and comprises:
 acquiring predetermined probabilities of danger corresponding to the gender, the age, the heart rate, the body temperature and the respiration rate in the characteristic information of the monitored party;   introducing a probability of danger of the gender, a probability of danger of the age, a probability of danger of the heart rate, a probability of danger of the body temperature, and a probability of danger of the respiration rate into Bayes' theorem, and calculating the probability of danger to the monitored party; and   designating the probability of danger to the monitored party as the security status information of the monitored party.   
     
     
         27 . The method of  claim 21 , wherein the monitored party comprises a sensor device capable of detecting a physical parameter, and wherein the characteristic information of the monitored party comprises at least one of a temperature, brightness, a volume, or a gas concentration. 
     
     
         28 . A device for security prejudgment, the device comprising:
 a characteristic information receiving module used for receiving characteristic information of a monitored party from the monitored party;   a security state information calculation module for calculating security status information of the monitored party based on a probability of danger that has been stored and corresponds to the characteristic information of the monitored party;   a security state information judgment module for determining that the security status information is greater than a first threshold; and   an execution module for performing an appropriate operation based on the determination including:
 transmitting to a predetermined monitoring party a login key used for acquiring the characteristic information of the monitored party if the security status information is greater than the first threshold, and transmitting an instruction to the monitored party to set a predetermined time interval for acquiring the characteristic information as real-time access; and 
 transmitting a prompt message generated based on the characteristic information of the monitoring party to the monitored party if the security status information is not greater than the first threshold. 
   
     
     
         29 . The device of  claim 28 , wherein the calculating the security status information of the monitored party based on the probabilities of danger that have been stored and correspond to the characteristic information of the monitored party includes a calculation based on Bayes' theorem using at least two probabilities of danger. 
     
     
         30 . The device of  claim 28 , wherein the transmitting to the predetermined monitoring party the login key used for acquiring the characteristic information of the monitored party comprises transmitting to the predetermined monitoring party the login key used for acquiring the characteristic information of the monitored party via an SMS text message. 
     
     
         31 . The device of  claim 28 , wherein the monitored party is a mobile terminal, and the characteristic information of the monitored party comprises at least one of current location information, current time information, movement status information, gender of a user of the mobile terminal, or age of the user of the mobile terminal. 
     
     
         32 . The device of  claim 28 , wherein the monitored party comprises a smart device capable of monitoring health information of a user of the smart device, and the characteristic information of the monitored party includes the monitored health information comprising at least one of a gender, an age, a heart rate, a body temperature, or a respiration rate. 
     
     
         33 . The device of  claim 32 , wherein the calculating the security status information of the monitored party is based on Bayes' theorem using a probability of danger that has been stored and corresponds to the characteristic information of the monitored party and comprises:
 acquiring predetermined probabilities of danger corresponding to the gender, the age, the heart rate, the body temperature and the respiration rate in the characteristic information of the monitored party;   introducing a probability of danger of the gender, a probability of danger of the age, a probability of danger of the heart rate, a probability of danger of the body temperature, and a probability of danger of the respiration rate into Bayes' theorem, and calculating the probability of danger to the monitored party; and   designating the probability of danger to the monitored party as the security status information of the monitored party.   
     
     
         34 . The device of  claim 28 , wherein the monitored party comprises a sensor device capable of detecting a physical parameter, and wherein the characteristic information of the monitored party comprises at least one of a temperature, brightness, a volume, or a gas concentration. 
     
     
         35 . One or more memories stored thereon computer-executable instructions, executable by one or more processors, to cause the one or more processors to perform acts comprising:
 receiving characteristic information of a monitored party from the monitored party;   calculating security status information of the monitored party based on a probability of danger that has been stored and corresponds to the characteristic information of the monitored party;   determining that the security status information is greater than a first threshold; and   performing an appropriate operation based on the determination including:
 transmitting to a predetermined monitoring party a login key used for acquiring the characteristic information of the monitored party—if the security status information is greater than the first threshold, and transmitting an instruction to the monitored party to set a predetermined time interval for acquiring the characteristic information as real-time access; and 
 transmitting a prompt message generated based on the characteristic information of the monitoring party to the monitored party if the security status information is not greater than the first threshold. 
   
     
     
         36 . The one or more memories of  claim 35 , wherein the calculating the security status information of the monitored party based on the probabilities of danger that have been stored and correspond to the characteristic information of the monitored party includes a calculation based on Bayes' theorem using at least two probabilities of danger. 
     
     
         37 . The one or more memories of  claim 35 , wherein the transmitting to the predetermined monitoring party the login key used for acquiring the characteristic information of the monitored party comprises transmitting to the predetermined monitoring party the login key used for acquiring the characteristic information of the monitored party via an SMS text message. 
     
     
         38 . The one or more memories of  claim 35 , wherein the monitored party is a mobile terminal, and the characteristic information of the monitored party comprises at least one of current location information, current time information, movement status information, gender of a user of the mobile terminal, or age of the user of the mobile terminal. 
     
     
         39 . The one or more memories of  claim 35 , wherein the monitored party comprises a smart device capable of monitoring health information of a user of the smart device, and the characteristic information of the monitored party includes the monitored health information of the user comprising at least one of a gender, an age, a heart rate, a body temperature, or a respiration rate. 
     
     
         40 . The one or more memories of  claim 35 , wherein the monitored party comprises a sensor device capable of detecting a physical parameter, and wherein the characteristic information of the monitored party comprises at least one of a temperature, brightness, a volume, or a gas concentration.