China's use of large data to counter terrorism requires strengthening

March 1 night, the Kunming railway station in Yunnan serious violent terrorist cases caused serious social impact. and the public security organs and other departments more than 40 hours of continuous fighting, the case in the afternoon of March 3 broke. It is understood that the railway station internal CCTV monitoring system for data analysis, the success of the case has played an important role. However, experts also pointed out that compared with foreign countries, China's use of large data technology to counter terrorism has yet to be improved and enhanced.

In this respect, Anhui hkust Information Technology Co., Ltd. Chairman Liu Qingfeng in the "China Science newspaper" reporter interviewed, said that the mass data information analysis and comparison, can play a very important role in the national and regional security.

"Internationally, the use of large data technology to counter terrorism has become a trend." Liu Qingfeng said, "China should make greater use of the rapid development of large data trends and continuous improvement of technology to play a greater role in counter-terrorism." It allows the government to monitor minor anomalies in the public domain and to launch early warning mechanisms in a timely manner. ”

So what is the effect of big data on counter-terrorism?

Hequan, academician of Chinese Academy of Engineering, was saddened by the incident in Kunming, who told the China Science Daily that large data could play a role in the fight against terrorism. "A terrorist event is a regular occurrence. For example, the Kunming terrorist attack occurred on the eve of the NPC and CPPCC, and the choice of the railway station in many people, is to make social impact. We can judge the time and the occasion of special vigilance by the regularity of the occurrence of terrorist events in history. ”

A bomb in Boston, the terrorist's backpack with dynamite pressure cooker. After the incident, people in New York searched the internet for pressure cookers and backpacks, and the US counterterrorism forces immediately captured the information and investigated the searchers ' purpose.

In view of this, the collection and analysis of relevant data can provide references and hints for the future anti-terrorism, Hequan said.

Liu Qingfeng also said that in the internet age, people's movements will leave traces. Through the use of the various information generated by terrorists, including calls, traffic, shopping, friends, e-mail, chat records, video and so on, can be a terrorist act before the early warning and afterwards analysis and investigation.

"For terrorists, there must be some clues before they act," he said. We may not be able to elaborate on the extent to which files are created for everyone, but in fact, by constantly collecting and accumulating data, each person's actions and lives can find some activity trajectories. Hequan For example, the terrorists have a lot of dissatisfaction with the society, will be expressed in many ways, such as Weibo, micro-letter and so on.

Some experts pointed out that the timely analysis and use of data can also allow the government to mobilize all the forces after the violence, take appropriate measures, do a good job in the aftermath, minimizing the harm to the minimum. However, China's use of large data in this regard has yet to be strengthened.

"It may be troublesome to find a targeted search, but there are still certain rules to follow." "This requires better use of big data," Hequan said.

In fact, for other experts to study large data, not only in counter-terrorism, in daily life, how to better excavate the value of large data, is an urgent problem to be solved. Relevant experts pointed out that there is an urgent need to strengthen the application of large data research.

Liu Qingfeng says it will require more government effort. "I hope that the government can rely on large data to provide better security for the people, the State should increase research and investment in this area." "Through the background data to eliminate the information" island. For example, through the language of speech recognition, voice recognition and keyword detection, you can analyze the location of people, identity and communication content.

Mengxiao, professor of Information College of Renmin University of China, believes that the key is to set up a large data calculation and application model from the realistic demand.

Wang Juahua, academician of the Chinese Academy of Engineering, said: "Large data science is a very strong application-driven service, it is necessary to attach great importance to the development and utilization of large data, as a powerful way to promote economic development and social public management." Focus on what big data can do and how to do it. ”