In the era of big data, the business ecological environment has undergone tremendous changes inadvertently: ubiquitous intelligent terminals, online network transmission at any time, and frequent social networks have made the faces of netizens who used to be internet users clear, and enterprises have the opportunity to conduct large-scale and accurate consumer behavior research. The blue ocean of big data will become the commanding height of future competition.
While big data has become a new focus of competition, it has not only brought more security risks, but also brought new opportunities.
First of all, big data has become an important target of cyber attacks.
In cyberspace, big data is a big goal that is easier to "discover". On the one hand, big data means massive data, and it also means more complex and sensitive data, which will attract more potential attackers. On the other hand, the massive collection of data enables hackers to obtain more data after successful attacks, which invisibly reduces the attack cost of hackers and increases the "yield".
Second, big data increases the risk of privacy leakage.
The collection of a large amount of data inevitably increases the risk of user privacy disclosure. On the one hand, the centralized storage of data increases the risk of leakage, and these data are not abused and become a part of personal safety. On the other hand, the ownership and use rights of some sensitive data are not clearly defined, and many analyses based on big data do not take into account the personal privacy issues involved.
Third, big data threatens existing storage and security measures.
Big data storage brings new security problems. The result of data concentration is that complex and diverse data are stored together, and it is likely that some production data will be placed in the storage location of business data, which will lead to non-compliance in enterprise safety management. The size of big data also affects whether security control measures can operate correctly. The update and upgrade speed of security protection means can't keep up with the nonlinear growth of data volume, which will expose the loopholes of big data security protection.
Fourth, big data technology has become a means of attack by hackers.
While enterprises use big data technologies such as data mining and data analysis to gain commercial value, hackers are also using these big data technologies to attack enterprises. Hackers will collect as much useful information as possible, such as social network, email address, Weibo, e-commerce, telephone number, home address, etc. Big data analysis makes hackers' attacks more accurate. In addition, big data also provides more opportunities for hackers to launch attacks. Hackers use big data to launch botnet attacks, which may control millions of puppet machines and launch attacks at the same time.
Fifth, big data has become the carrier of advanced sustainable attacks.
Traditional detection is real-time matching detection based on the threat characteristics of a single point in time, while advanced sustainable attack (APT) is an implementation process, which cannot be detected in real time. In addition, due to the low density of big data, it is difficult for security analysis tools to focus on value points, and hackers can hide attacks in big data, which makes the analysis of security service providers very difficult. Any attack set by hackers that will mislead security vendors to extract and retrieve target information will lead to security monitoring deviating from its proper direction.
6. Big data technology provides new support for information security.
Of course, big data also provides new opportunities for the development of information security. Big data provides new possibilities for security analysis. The analysis of massive data is helpful for information security service providers to better describe abnormal network behaviors, so as to find the risk points in the data. Preventive analysis of real-time security and business data can identify phishing attacks, prevent fraud and prevent hackers from invading. Cyber attacks always leave clues and hide them in big data in the form of data. Using big data technology to integrate computing and processing resources will help to deal with information security threats more specifically and help to find the source of attacks.