A method and device for id discovery
A technology for discovering methods and IP addresses, applied in the Internet field, can solve problems such as non-existence, limitation, and inapplicability, and achieve comprehensive results
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Embodiment 1
[0061] Embodiment 1 of the present invention provides an ID discovery method, where the identifier corresponding to the same IP situation is set as 1, the identifier corresponding to different IP situations is set as i, and the identifier corresponding to the same Host-Key and the same value of the Host-Key is set as V. The identifier corresponding to the case where the Host-Key is the same and the value of the Host-Key is different is v, such as figure 1 shown, methods include:
[0062] In step 201, the identifier corresponding to the situation of the same IP, the same Host-Key and the same value of the Host-Key is set as the IV; the identifier corresponding to the situation of the same IP and the same Host-Key and the value of the Host-Key is different Set to Iv; set the identifier corresponding to the case of different IPs, the same Host-Key and the same value of the Host-Key as iV; set the identifier of the case corresponding to different IPs, the same Host-Key and differe...
Embodiment 2
[0088] In the embodiment of the present invention, when using the method described in Example 1 for testing, especially when further searching for a unique ID in Case 2 of Example 1, a problem was found, refer to the example in Table 2 below:
[0089] Table II:
[0090] Host key value IV IV iV iv dns.weixin.qq.com uin 1305491620 50 3 1188 24332
[0091] The key "uin" in Table 2 has been verified to be a WeChat ID. It can be seen that when the iV is at the maximum value, there are 1188 identical WeChat IDs under different IPs, which is inconsistent with the actual situation. After checking, these 1188 WeChat IDs appear in different The same micro-signal between IPs is "0", which is obviously not a real micro-signal, but a special value. Therefore, in order to avoid similar statistical deviations in other keys, the next largest count value is selected as the final statistical result for the four counts, and the results are very good after i...
Embodiment 3
[0106] In the embodiment of the present invention, the ID discovery method proposed in the embodiment 1 is further tested and verified with examples from different angles. details as follows:
[0107] After "according to the score of each group of Host-Key" in step 203 in embodiment 1, further sort by iv descending order, can select the ID with high frequency of occurrence, they reflect the situation of coverage network user to a certain extent, both Coverage or effect when applied. We first select traditional IDs (IMEI, MAC, IP, IDFA, IMSI and other IDs whose meanings are known), and then manually judge the rest to get all the IDs.
[0108] Incomplete key list of traditional ID:
[0109] 'imei','imsi','uuid','idfa','idfv','deviceid','androidid','mac','ip','userid','user_id','uid','token ','phone','phone_num','openudid','deviceId','device_id','android_id','_mac','_imei','username','userip','userId','user', 'uniqueId','uname','uin','udid','ucid','tk','suuid','suid','signatu...
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