The data stored in big data is huge, and it is often distributed storage. It is precisely because of this storage method that the path view of storage is clear and the amount of data is too large, which leads to data protection and simplicity. Hackers can easily use related vulnerabilities to carry out illegal operations and cause security problems. Due to the huge number of end users and diverse audiences in the big data environment, the authentication of customer identity requires a lot of processing power. Because APT attacks are highly targeted and time-consuming, once the attacks are successful, the final output data of the big data analysis platform will be obtained, which is likely to cause greater information security risks.
(2) Risk of big data information leakage
Risk of information leakage of big data platform When collecting and mining big data, we should pay attention to the security of users' private data and conduct data mining without revealing users' private data. It should be considered that in the process of information transmission and data exchange in distributed computing, it is the main problem of information security to ensure that users' private data at various storage points are not illegally leaked and used. At the same time, the current data volume of big data is not fixed, but is dynamically increased during the application process. Traditional data privacy protection technologies are mostly aimed at static data, so how to effectively deal with the dynamic data attributes and manifestations of big data is also a security issue that needs attention. Finally, the data of big data is far more complicated than traditional data, and whether the privacy protection of existing sensitive data can meet the complex data information of big data is also a security issue that should be considered.
(C) the security risks in the process of big data transmission
Data life cycle security issues. With the rapid development of big data transmission technology and application, more and more security risks are gradually exposed in all stages and links of the life cycle of big data transmission. For example, in the transmission of big data, in addition to the risk of leakage and tampering, it may also be used by data stream attackers, and the data may be gradually distorted during transmission. For another example, in the process of big data transmission, in addition to the risk of unauthorized use and destruction of data, due to the heterogeneity, multi-source and correlation of big data transmission, even if multiple data sets are desensitized, there is still the risk of personal information disclosure caused by association analysis.
Infrastructure security issues. As the main carrier and infrastructure of big data transmission and collection, cloud computing provides storage places, access channels and virtualized data processing space for big data transmission. Therefore, the security of data stored in the cloud platform has also become the main factor that hinders the development of big data transmission.
Personal privacy and security issues. Under the condition that the existing privacy protection laws and regulations are not perfect and the privacy protection technology is not perfect, personal privacy leakage on the Internet is out of control. Social software such as WeChat, Weibo, QQ, etc. keep track of users' social relationships, monitoring systems record people's chats, surfing the Internet and trips, and online payment and shopping websites record people's consumption behaviors. However, in the era of big data transmission, the threat people face is not limited to the disclosure of personal privacy, but also lies in the prediction of people's state and behavior based on big data transmission. In recent years, some big data transmission security incidents, such as personal information disclosure of social security system and account information disclosure of 12306 in many provinces in China, show that improper handling of big data transmission will cause great infringement on users' privacy. Therefore, in the environment of big data transmission, how to manage data and protect personal privacy while ensuring the efficiency of data use is one of the great challenges facing the era of big data transmission.
(d) Storage management risks of big data
The data type and data structure of big data are incomparable with traditional data. On the storage platform of big data, the amount of data is increasing at a nonlinear or even exponential rate. Storing various types and structures of data will inevitably lead to the concurrent and frequent disorderly operation of various application processes, which will easily lead to data storage dislocation and data management confusion, and bring security risks to the storage and post-processing of big data. Whether the current data storage management system can meet the data storage requirements of massive data under the background of big data remains to be tested. However, if the data management system does not have the corresponding security mechanism upgrade, it will be too late after the problem occurs.