The rapid development of the Internet has brought great changes to people's lives, and big data and cloud computing are gradually being applied in social life by virtue of their large storage capacity and high efficiency, and have brought great convenience to people.

secondary title

Advantages of Big Data and Cloud Computing Technology

The purpose of big data is to fully mine the information in massive data to discover the value in the data. The purpose of cloud computing is to better call, expand and manage computing and storage resources and capabilities through resource sharing to reduce enterprise IT costs.

The processing object of big data is data, and the value in the data can be found to bring benefits.

The processing objects of cloud computing are IT resources, capabilities and applications, which greatly saves the cost of IT resources.

secondary title

Analysis of data security issues

• Risks of accessing data

In the current development of big data and cloud computing, there will be security issues for data access. The data access risk mainly refers to the malicious access to the data in the computer by the user, or the illegal operation that leads to data security risks, which is also a major data security risk in big data cloud computing.

When computer users process big data through cloud computing, whether the data information is stored in the cloud computing platform or in a remote server, the data information needs to be processed and analyzed by big data and cloud computing services, and also Priority access to relevant data.

Therefore, if the big data and cloud computing functions are run within the enterprise, once the internal employees of the enterprise do not strictly follow the company's workflow at work, there will be dereliction of duty, actively and maliciously steal relevant data information, or for themselves Any illegal operation for the interests of the cloud computing platform will directly affect the data security protection measures of the cloud computing platform, which will more easily lead to data loss or malicious theft, and pose a serious security threat to the data information security of the enterprise.

Therefore, it is not only necessary to prevent the operation errors of internal employees, but also to ensure the perfection of the overall network protection system in the process of data processing by big data and cloud computing. The main reason for ensuring the perfection of the protection system is that some illegal Molecules will steal various data information in cloud computing through loopholes in network protection.

• data isolation problem

In the current development environment of big data and cloud computing, data isolation is a relatively common problem. Generally speaking, the application of big data technology will be more common in government departments and related enterprises.

However, in the process of actual application of big data and cloud computing in enterprises or government departments, there will be data isolation problems. Once such problems occur in the application department, it will easily lead to the loss of some data information. The consequences of this are not only It will damage the economic interests of enterprise units and government departments, and seriously affect the overall work efficiency of the enterprise and the data security within the enterprise.

Not only that, as the use of big data and cloud computing is becoming more and more common, the application scope of big data technology is also gradually expanding. Although it can well promote the development and progress of big data technology in my country, large-scale technology Application will also increase the chance of data isolation problems. In particular, large-scale data sharing will greatly reduce the quality of data encryption work and hinder the smooth development of normal protection work, resulting in a reduction in data security in a big data environment. In this way, illegal personnel will be able to take advantage machine, greatly reducing the security guarantee for network data.

• Data Destruction Issues

In the information age, electronic information is closely related to our life. Then the data removal work of some confidential information is inevitable. Regardless of individuals, enterprises, governments, scientific research units or military industry departments, some classified information needs to be permanently cleared regularly to ensure that these important data information will not be illegally used and ensure data security.

Therefore, dealing with the problem of data destruction plays an important role in protecting data security, and relevant technical personnel should pay more attention to the data destruction function.

secondary title

Provide relevant measures for data security

• Increase control over data access

Access Control (AccessControl) refers to the means by which the system restricts the user's identity and the predefined policy group to which it belongs to use data resources. It is usually used by system administrators to control users' access to network resources such as servers, directories, and files.

Access control is an important basis for system confidentiality, integrity, availability, and legal use. It is one of the key strategies for network security prevention and resource protection. Authorized access.

For autonomous access control technology, different data information has autonomous control rights, and each individual can act as an owner and actively control the data. Therefore, from this point of view, the control function of data access is relatively stable. Increase the research work on this technology, continuously improve the user's access control ability to data, so as to better maintain the security of personal data information, and promote the improvement and rapid and stable development of big data and cloud computing functions.

• Increase the data sharing and isolation function

With the support of big data and cloud computing, each user can upload the information that needs to be stored to the cloud, and can also return the stored information through the computer network. This process improves the efficiency of people's storage and use of data information. But this link is also the most prone to the risk of loopholes and data isolation.

In order to take effective measures to solve the security problems in data transmission and truly realize the data sharing function, professional and technical personnel take targeted measures on data transmission and sharing methods, that is, in the process of data transmission, it is necessary to The third-party platform implements effective data sharing isolation to prevent third parties from being able to access data information and prevent the risk of data leakage. This measure greatly improves the security of data in big data and cloud computing environments.

Only in this way can not completely guarantee data security, but also need to continuously introduce high-tech, through advanced identification and authentication technology to effectively identify suspicious Internet users, once suspicious operations are found, it is necessary to take effective data isolation function for suspicious users in a timely manner. Use information technology to effectively identify and detect network users and shared data resources, and then help staff lock suspicious users and implement shared isolation, thereby improving data security during data transmission.

• Enhancing encryption of data storage

Information storage is an important function of using big data and cloud computing. In the process of storing data, it is necessary to encrypt the storage of data information to improve data security. Through complex data encryption processing, data information can be effectively blocked The act of being stolen or tampered with.

The basic process of data encryption includes translating plaintext (that is, readable information) into ciphertext or cipher code form. The inverse of this process is decryption, the process of converting the encoded information to its original form.

Encrypting data using database security middleware is the most convenient and direct method. Mainly through system encryption, DBMS kernel layer (server-side) encryption and DBMS outer layer (client-side) encryption.

Not only that, in addition to continuously strengthening the encryption function of data storage, it is also necessary to update and improve the encryption technology. Encryption technology can use ciphertext to store important data information, and keep it in the system with a key.

secondary title

interstellar observation

Although big data and cloud computing are still in their infancy in China, their commercial value has already emerged. In the future, data is likely to become the largest traded commodity.

With the explosive growth of data, privacy issues also follow, such as calls, locations, etc. generated by mobile phones every day. This has brought convenience to people, but it has also brought about personal privacy issues, and it faces new challenges in ensuring data security. Therefore, in order to better protect data security, professionals are required to increase research on the security performance of big data and cloud computing, so as to push Internet technology companies to go higher and further.

——End——

references:

references:

1. Shen Zhao, Yang Yue, Jiao Kaixuan, Data Security Analysis in Big Data Cloud Computing Environment

2. Fan Kejia, Data Security Analysis in Big Data Cloud Computing Environment

3. Liu Zhiyong, Data Security in Big Data Cloud Computing Environment

4. Wang Xiaorong, Data Security Analysis in Big Data Cloud Computing Environment

5. Miao Li, Data Security in Big Data Cloud Computing Environment