Xinjiang: Big Data, Wifi Sniffers & Big Brother

In China: Big Data Fuels Crackdown in Minority Region, Human Rights Watch reports on how hi-tech is being used to systematically monitor citizens’ behavior in Xinjiang, one of the PRC’s most multiethnic regions:

Since August 2016, the Xinjiang Bureau of Public Security has posted procurement notices confirming the establishment of the “Integrated Joint Operations Platform” (IJOP, 一体化联合作战平台), a system that receives data on individuals from many different sources. Kashgar Prefecture appears to be one of the first areas where the system is complete and in regular use.

These notices reveal that the IJOP gathers information from multiple sources or “sensors.” One source is CCTV cameras, some of which have facial recognition or infrared capabilities (giving them “night vision”). Some cameras are positioned in locations police consider sensitive: entertainment venues, supermarkets, schools, and homes of religious figures. Another source is “wifi sniffers,” which collect the unique identifying addresses of computers, smartphones, and other networked devices. The IJOP also receives information such as license plate numbers and citizen ID card numbers from some of the region’s countless security checkpoints and from “visitors’ management systems” in access-controlled communities. The vehicle checkpoints transmit information to IJOP, and “receive, in real time, predictive warnings pushed by the IJOP” so they can “identify targets… for checks and control.”

The IJOP also draws on existing information, such as one’s vehicle ownership, health, family planning, banking, and legal records, according to official reports. Police and local officials are also required to submit to IJOP information on any activity they deem “unusual” and anything “related to stability” they have spotted during home visits and policing. One interviewee said that possession of many books, for example, would be reported to IJOP, if there is no ready explanation, such as having teaching as one’s profession.

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