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The application of big data in modern security work

This year, we often hear the word big data in major news media. What is big data? So far, there is no universally accepted definition. Different organizations have also given different definitions, but it is certain that big data technology has already played a huge role in promoting various industries, especially in the commercial field. Big data brings together a large amount of raw data, and analyzes the potential laws in the data through techniques such as intelligent analysis and data mining to predict the development trend of things in the future, which helps people make correct decisions, thereby greatly improving various fields. Run efficiency to achieve greater benefits.

   On the basis of comprehensive collection and integration of a large number of security and prevention data information, the big data technology timely generates security and security decision-making content with security value to guide the efficient and smooth development of security work. Modern security work requires continuous exploration of security business data in a big data environment, exploring big data theories and methods adapted to security work, and further expanding the modern information work of security and security to better adapt to the growth of data volume and data. Type diversity and timeliness of data.

First, the comprehensive nature of security work under big data.

   Security work in a big data environment relies more on a large amount of recorded data. How to efficiently collect and store data, intelligent analysis and processing of data becomes the cornerstone of modern security work. The "big" of big data is not only the huge data storage capacity, but also the "big" data processing mode. To this end, security work should collect comprehensive security data as much as possible, and use relevant mathematical methods for analysis and modeling, and strive to explore the security factors behind security data to predict the probability of related security events. Big data is an extremely rich data set. Data is an important production factor in the information age and a fundamental resource for the operation of modern industries. It can be foreseen that the decision-making and execution of security work in the future depend entirely on data. The amount of data accumulation, the level of data analysis, and the strength of data-driven capabilities will be important factors affecting the efficiency of modern security work.

   Security work in a big data environment is not only a simple technical application for security protection, but also a data analysis and processing mode. Big data technology will bring more convenience and efficiency to security work.

   In the big data environment, the technical content and knowledge content of security work have been greatly improved, and the effective use of big data will become the key to security work security. The era of big data not only requires security personnel to collect data when security is being defended, but also uses big data technology to process and utilize the data.

   In the big data environment, the data is characterized by large scale, large type, and diverse structure. The data types are structured tabular data, semi-structured, unstructured text, pictures, videos, and so on. So many types of data need to be extracted, processed and integrated in the data source to ensure the quality and reliability of the data. Real-time data processing is an important requirement of big data analysis. Security operations are often performed in real time, such as intrusion alarm systems. Intrusion detectors will detect external events 24 hours a day, once an abnormal situation occurs. An alarm signal will be sent in real time.

Second, big data provides effective security information for security work.

   In the era of big data, data and computer systems will play an important role in the daily decision-making of security work. The “big” of big data is not only the huge data storage capacity, but the accuracy of its analysis and prediction. At present, the data sources in security work mainly include: related video data captured by the video surveillance system, records of access control personnel, time records of the access control system, relevant records of the parking lot management system for entering and leaving the vehicle, and relevant data generated by the intelligent building system. .

   In the era of big data, a lot of data is naturally produced. Most of this data will not provide useful security information for current security work, but effective security information will be hidden in these data. Big data research experiments show that big data prediction technology has amazing accuracy, and future big data prediction technology will positively guide the decision of security work. Ideally, big data alerts or predicts security events that may occur anywhere, anytime. Through the fuzzy mathematical analysis of big data, the places with potential safety problems are obtained, and the relevant areas and people are reminded and alerted, and the purpose of security prevention is realized.

   In the era of big data, all data can become important information for security work, and big data technology facilitates data collection. Network data is also an important source of information in security work. Especially with the development of the mobile Internet, mobile terminals allow everyone to connect to the network, so the security of the network should also be taken seriously. Whether it is a video surveillance system or an access control system, whether it is a parking management system or other security systems, most of the data may be transmitted to the network, providing users or security personnel with more convenient information query or use. Through the data mining technology of big data, the correlation of data in the network can be found, and practical security information can be brought to the security personnel for security protection work.

   In the era of big data, the predictive function of big data will provide security personnel with effective decision-making information. The main purpose of big data technology is to quickly obtain valuable information from huge amounts of data. The so-called big data refers to people's ability to foresee specific situations. Big data is based on a large amount of data and analyzes and processes data in a more scientific way. In the security management work, big data means that security personnel must use data as the basis, in-depth observation and analysis, and look at the essence through the phenomenon, and apply the theory to the actual work. In this ever-changing era, in the face of various forms of possible security incidents, security workers must “investigate and obtain opportunities” to formulate various security emergency strategies to ensure social security and stability.

Third, big data provides real-time services for security.

   Today, with the overall speed of social life, the “big” of big data refers not only to the huge data storage capacity, but to its real-time nature. Big data technology requires that the analysis and processing time of the data should not be too long, which is one of the characteristics of big data. Today's security work will also face a large amount of data, but traditional software tools can not provide timely and effective data information for security work in a short period of time.

   Big data has the characteristics of low value density, and the value of big data comes from the information generated when different data are related to each other. The biggest change in big data technology is to replace causality with correlations, that is, it is not necessary to derive relationships from existing results, but to obtain the desired results by analyzing specific data. Exploring the information in the data by exploring the association patterns between the data is the value of big data. In security work, video surveillance systems are one of the essential equipment for security. Within the control of a video surveillance camera, continuous 24/7 monitoring is performed, resulting in a large amount of video data. When it is found that it is necessary to obtain video data of a certain period of time or a suspect, the effective video data is very small, only a few seconds, and searching for a large amount of video data requires a fast real time. deal with. The use of big data technology can quickly provide these seconds of video data to security staff.

   The main task of security work is to support the social security and stability of the auxiliary police. Security work must be guided by security and intelligence. It is necessary to make full use of big data to analyze and predict the anomalies existing in social public activities, and to quickly alert and quickly dispose of them. Security personnel can pre-judger the occurrence and trend of security cases in various regions and categories according to the data monitoring system and data analysis in the entrance and exit control system, and quickly dial 110 to report the alarm.

   The combination of big data technology and intrusion alarm system reflects the real-time nature of big data technology. The intrusion alarm system will detect the intrusion, theft and other criminal activities in a timely manner. Through the big data technology, the security personnel can timely and accurately analyze the collected data and send out an alarm signal according to the analysis result. When the alarm signal is sent to the relevant public security organs and the security prevention linkage system can be activated, the video surveillance system will automatically record the criminal scene of the crime scene and the criminal suspect, and provide reliable evidence for timely resolution.

Fourth, big data is a fire safety protection service.

   The application of big data in fire security work includes fire management and fire education. The occurrence of a fire is essentially a natural phenomenon, but its ability to occur, how many times it occurs, how large it is, and how much it causes losses are related to many social factors and natural factors. Security staff can use big data technology to statistically analyze the relevant factors of fire, and conduct fire management and fire education according to the results of big data technical analysis and processing.

   In the fire management, the use of big data technology can audit, check and accept the fire protection design of the construction project, and make the audit and acceptance meet the national and fire safety related standards and norms, and eliminate potential fire hazards. Big data technology can also conduct fire assessments and warnings for commercial, office and residential buildings in use. Most of the buildings do not have a lot of fire alarms and fires, and the real-time data collected by the fire alarm sensors is uploaded to The big data management platform can realize dynamic monitoring of fire protection. Once a fire breaks out in the building, security personnel can direct the evacuation of the crowd based on the results of the big data analysis and tell the crowd the route and strategy to escape. Security staff can also organize and coordinate fire fighting with fire officers and soldiers based on the results of big data analysis.

   In the field of fire education, big data can be used as a target to study and correct the insecurities and laws of people in production and life, prevent the occurrence of fires and explosions, and use the form that the masses like to publicize to promote fire safety knowledge and skills. Get fire education in a subtle way, improve fire awareness, and prevent problems before they happen. In terms of physical defense, technical defense, and civil air defense, the application of big data technology will get twice the result with half the effort.

   Big data technology has changed the long-term management of security work based on civil defense, using big data to complete modern security work more efficiently and accurately. For security work, security work in a big data environment is not just a technology, but a new model. Under big data, changes in the security work environment will lead to huge changes in many aspects. Big data technology brings new ideas and ways for modern security work. The research on big data in security work is still in its infancy. Only by recognizing the impact of big data on security work, grasping this trend can improve the efficiency of security work and the utilization of security and data. Big data provides more opportunities for modern security, and the security work continues to thrive on the road of informationization.