Information Security Countermeasures for Big Data Platforms Based on Cloud Computing

Nowadays, with advanced information technology, cloud computing, big data, and other technologies are widely used in various activities, and their value has been proven and attracted people’s attention. is article aims to study the challenges faced by the development of national information security in the context of big data in the new era. While the big data platform brings convenience to social life, it will also have a major impact on national information security. In order to protect information security, big data needs to bemanaged to improve the quality and eciency of its use. As a result of empirical analysis, information security in this environment is a personal issue as well as an important social issue. e way to solve this problem naturally starts from increasing people’s awareness of preventing personal information and increasing the protection of commercial information, but it is necessary to improve relevant government laws and regulations, improve the government’s information supervision capabilities, and clean up and optimize for the government. e unique role of the information environment is more important and more fundamental. In 2018, a total of 3 billion pieces of data were leaked worldwide, an increase of 70% compared to 2017. Information leakage occurs almost all the time, so we should eectively prevent information from being stolen.


Background of Topic Selection.
e current network, information, 5G, and other technologies are developing with the development of society; in modern production and life, more and more people can communicate and exchange data through terminals. Big data is increasingly becoming a new type of productivity, making communication between people more convenient and faster. Now "Internet +" is the general trend, bringing more economic bene ts to commercial applications and providing more nancial resources for the government. One of distributed computing is called cloud computing. is means that it will be a simple distributed computing process to decompose the big data processing program into countless small programs through the "cloud" network to process and analyze it, which can quickly solve the problem of labor distribution and obtain comprehensive calculation results. At the same time, user information caused by the open network environment is stolen and used by criminals, causing widespread anxiety in various elds of society and limiting the e ective application of big data. Information security is the technical and management security protection established and adopted for the data processing system, in order to protect the computer hardware, software and data from being damaged, changed, and leaked due to accidental and malicious reasons. erefore, while protecting user privacy and information security, it is worth discussing and studying how to improve the value of applications and use big data.

Signi cance of the Research.
As a new form of information technology, big data is evolving rapidly with a wide range of scope and has a huge impact on people's lives. e in uence of big data lies not only in people's daily life but also in all aspects of the information society. Someone compared these data with coal-red coal mines. Carbon is divided into coke, carbonate, fatty carbon, lean carbon, etc., depending on its nature. e important thing about big data is "usefulness" rather than "big," and more importantly, capacity, cost, and value. How to use these resources is crucial.
erefore, how to protect the privacy and new performance of its information in the era of cloud computing, especially in the new environment, is a question. e current status quo has good guidance and improvement effects. It is possible to conduct a more comprehensive and objective analysis of the opportunities and challenges faced by the information security of the big data platform. It has the ability to highlight the problems faced by information protection, and is of great importance to the ability to cause problems and related countermeasures. He put forward many feasible suggestions to help analyze and solve some of the problems of domestic big data platform information security protection.

Relevant Work on Analysis of Information Security
Countermeasures for Big Data Platforms. Big data has always been the research object of scholars. In related work, many scholars have analyzed the information security of big data platform. Xu et al. believe that in the era of big data, information protection is very important. Mobile cloud computing is a new example that can provide cloud computing functionality on the edge of a widespread wireless access network near mobile users. Whether it is a government agency or a commercial organization, there must be a consistent use policy when using consent information [1]. Xia et al. pointed out that in order to ensure data security, the "Cyber Security Law" must be strictly enforced, which is the most important; maintenance is a common example of cloud storage outsourcing. For privacy reasons, sensitive images such as medical images and personal images must be encrypted before outsourcing. is makes plain text domain CBIR technology useless [2]. In addition, the system requirements need to be updated. Study and formulate relevant laws and regulations. Establish a support system and strengthen the design, development, promotion, and operation of network and construction security. Hameed et al. believe that China has many information security regulations, but no regulations [3]. Yes, it is not systematic and it is difficult to guarantee data security. erefore, expedite the legal process of information security laws. However, I believe that due to the limitations of the field of science, lack of research on computer information technology will inevitably lead to an inability to understand the root causes of information security issues.

Innovation Points of is Research
(1) Encryption algorithm for big data platform information security (2) e cloud computing method is adopted in the analysis of information security countermeasures for research on big data platforms [4]. (3) Cloud computing can run to improve efficiency, reduce related costs, ensure data security, and has the characteristics of scalability and liquidity [5]. e application of these characteristics of cloud computing to the information security countermeasures of big data platforms is of great help, and can guarantee the security of information to a large extent [6].

Methods of Analysis of Information Security
Countermeasures on Big Data Platforms 2.1. eory of Cloud Computing. Cloud computing is a kind of distributed computing, which refers to the network "cloud" that decomposes huge data computing and processing programs into countless small programs, and then processes and analyzes these small programs through a system composed of multiple servers to get the results and return them to users. With the development of computer technology and the research of scholars in the field of cloud computing, it provides the definition that best meets modern needs: Cloud computing is a brand new concept at the network application level. Cloud computing is to provide related data services to individuals through Internet technology, usually using Internet virtualization technology to obtain and share related data resources. Cloud computing is one of distributed computing that can provide services related to networks, software, and communications. Its central idea is to use the network as a bridge for computing. is computing is the cloud. As shown in Figure 1, cloud computing can combine a large number of resources, and coupled with software processing, you can quickly achieve the desired effect [7]. However, after the further exploration and research of cloud computing technology by various countries, the National Institute of Standards and Technology of the United States has given a widely accepted definition at this stage: Cloud computing is the use of virtualization technology to form server clusters in different fields. According to the amount of money the user consumes and pays, the user can access and access resources anytime and anywhere.

Features of Cloud Computing.
e value of cloud computing lies in its high flexibility, scalability, and high performance ratio. Compared with the traditional network application mode, it has the following advantages and characteristics:

Cloud Computing is Easy to Expand.
e services provided by cloud computing are extremely scalable. Under the guidance of Internet technology, computers and servers can be easily interconnected, thereby rapidly expanding the cloud computing service platform and forming a super cloud computing service platform [8]. At the same time, users can share resources stored on the Internet through the service platform, and can also obtain the resources they want anytime, anywhere [9].

Cloud
Computing has the Characteristics of Virtualization. Customers can enjoy rich application content via the Internet at any time from any other place that can be connected to the Internet. Users do not know which server or computer these applications are running on, and they do not know the specific location of the server or computer. Only users can use Internet technology to obtain resources through mobile smart terminals.

Cloud Computing has the Characteristics of "Good
Quality and Low Price". Its appearance is mainly due to its powerful versatility, convenient and cheap maintenance cost [10]. Cloud computing can integrate servers and computers around the world into a virtual environment through Internet technology [11]. ey can access and share resources with each other, which allows many companies to centrally manage their data centers and save high maintenance costs, greatly improving resource utilization. Cloud computing not only avoids wasting a lot of server and computer resources but also achieves the national energy saving and emission reduction goal [12].

Cloud
Computing has one of the Most Important Security Features. Because the cloud computing system integrates computers and servers in various regions, the use of multiple security authentication mechanisms in a virtual environment can greatly improve the reliability of resources and services [13]. Figure 2 shows the characteristics of cloud computing:

Security Issues Faced by Cloud Computing.
Cloud computing is widely used in daily life. e subsequent data security issues in cloud computing have become more and more serious. People should have doubts about the security of data in the cloud. is incident caused an immediate loss of 10%-20% of the market share of US cloud providers, and cloud computing has transferred control of the data and storage environment. All data are in an open environment, without the protection of cloud computing platform   e data subject is excluded from the data manager. In this case, if the data are not effectively protected, it is easy to be stolen and leaked. e security of cloud data is worrying now. People have a strong sense of security about the information stored in the cloud. Figure 3 is a model diagram of the cloud security reference framework. Solving data security issues to ensure data security is an urgent issue for cloud computing. Cloud computing has high reliability, and if the server fails, it will not affect the normal operation of computing and applications. Because of the failure of single-point server, applications distributed on different physical servers can be restored by virtualization technology or new servers can be deployed for calculation by dynamic expansion function.

Security Issues Caused by Information Leakage.
Information technology is a general term for various technologies mainly used to manage and process information. It mainly applies computer science and communication technology to design, develop, install, and implement information systems and application software. It mainly includes sensing technology, computer and intelligent technology, communication technology, and control technology. Network openness and information sharing in the network environment are data and information facing security issues [14]. In particular, when a large amount of data information is generated and the data are still transmitted through a local area network or a dedicated network, it is difficult to guarantee the quality of information transmission, which will lead to information security problems, which will be covered by certain threats, and the management and storage of data information is difficult. If the requirements are met, data information management may be destroyed, and application exceptions may also occur [15].

Security Issues Caused by Data Diversification.
e data sources nowadays are very large, and also generate a large amount of data. Regarding this data information, regardless of the management level or the type of management adopted, the managers will be diversified [16]. Data information is shared in an open network environment. Users' access to and use of data and information has also developed from different perspectives. However, if the administrator has insufficient work experience, faces so much data, and is diversified, it is easy to cause security problems [15].

Security Issues Caused by Hacker Attacks.
As an open environment, data information is easy to lose, even if some data information is encrypted, it can still be found [17]. One of the main reasons is that big data has many data processing unit modules. If a hacker finds a defect in the process of detecting the data processing unit module, he or she will initiate an attack from the vulnerability [18]. e greater the amount of data, the more attackers will be attracted. If the  hacker's attack is successful, a large amount of data and information will be leaked.

Cloud Platform Computing and Trusted Platform.
According to the actual situation, each application mode adopts different security strategies. Cloud computing includes three different service models: infrastructure services, platform as a service, and software and services. e first category can have a VMM environment that provides a good host; the second category can provide a platform for computing and protection development; the third category can have software applications to protect customer data security and personal information. Ensuring the data security of the cloud computing platform requires different levels of security measures, which can meet the requirements of security standards. e reliable platform unit is a security chip installed on the computer. is is the basis of reliable processing. Each trusted platform unit has a unique identifier to indicate the reliability of the module. is unique identity is called an authentication key (EC). Although the trusted platform module is responsible for protecting data security, when hackers, Trojan horses, etc., invade, the credentials of the trusted platform module can easily be destroyed. is is why we combine other security technologies to ensure information security. Figure 4 shows the functional diagram of the trusted platform module: TPM controls access to certain sensitive data. TPM controls issuance, authentication, and certificate storage; TPM measurement; recording of software and hardware identifiers; and provides integrity for trusted institutions. TPM security features include access control. Certificate and measurement registration and reporting TPM security report: e details of these security functions are as follows: TCG, respectively, defines verification certificate, signature certificate, conformity certificate, platform certificate, and identity certificate. ese five certificates are the TPM security certificate chain. e functions of these five certificates are: (1) Verification certificate: e verification certificate provides sensitive information, including the types, versions, and standards of various sensitive software and hardware, and other basic information.
(2) Signature certificate: e signature certificate provides basic TPM information, including TPM version, manufacturer, EC, serial number, etc.
(3) Certificate: e certificate provides basic information such as TPM, graphics card, processor, and keyboard driver.

Mobile Information Systems
TCG defines four types of security messages, namely: packet, signature, sealed bundle, and sealed signature. e usage rules for these four message types are as follows: (1) Grouping: e public key TPM in the message is associated with the private key stored in the TPM to ensure that the message is only exposed to the designated TPM. And make sure that the TPM on the platform cannot decrypt the message. (2) Signature: e signature text is similar to the traditional password method. Many TPM keys can only be used for signing. Cannot be used for encryption (3) Sealed bundle: TPM uses sealed centralized messages to transmit sensitive external entity data to the platform. Platforms that comply with the security configuration can view the data sent by the TPM. (4) Sealed signature: Using the sealed signature text in TPM, external entities can receive platform configuration information.
According to the definition of TCG, the keys in TMP can be divided into seven types. ese seven types can be divided into four groups: (1) e signature key and root storage key can only be found in the TPM and cannot be moved. (2) Keys that cannot be moved, such as closed keys and closed keys. It can be stored outside of the encrypted TPM format. (3) e signature key and storage key are multi-platform mobile keys. (4) Some signatures and storage keys will be moved appropriately between platforms.

Application Mode of Cloud Computing.
A kind of cloud computing distributed computing technology, its most basic concept is to automatically split a huge computing processing program into countless smaller subroutines through the network, and then hand it over to a huge system composed of multiple servers. After searching, calculating, and analyzing, the processing results are sent back to the user. e system structure of cloud computing is used differently in different industries, it can be divided into public clouds open to everyone, private clouds for enterprises or campuses, and hybrid clouds that take both into account. Cloud standards must have three meanings: (1) Clear cloud computing standards, (2) Cloud computing performance standards, (3) Implied meaning of standard cloud computing [19]. Cloud computing standardization initially presents the following development trends: Inheritance and development of existing technologies and standards: Cloud computing is a further development of existing IT technologies. Existing technologies and standards must be inherited and used as much as possible. You do not need to develop a complete collection from top to bottom. A new standard. Focus on the formulation of IaaS standards: In terms of cloud computing standards, IaaS has the most stringent standardization requirements, followed by PaaS and SaaS related to specific applications. Interoperability and interoperability are key issues: Looking to the future, there will be many providers at all levels of the three major cloud computing models of IaaS, PaaS, and SaaS. ere is no doubt that the common goal of cloud computing standards work is openness, cooperation, and win-win. Win: Communication and cooperation between standards bodies. Getting closer and closer, any specific content in the field of cloud computing is completed by many standards organizations. Full participation in the industry chain: All links in the cloud computing industry chain will actively contribute to the formulation of cloud computing standards.

Public Cloud.
Public clouds are models based on standard cloud computing where service providers create resources such as applications and storage and people can access these resources via the Internet. It is currently the most widely used, that is, users only need to pay a certain fee to enjoy cloud services [20]. ese services include hardware equipment, data resources, application software, and data storage from cloud service providers. On the other hand, users do not need to maintain resources and focus on equipment. is kind of cloud service can be enjoyed quickly and conveniently through on-demand payment [21].

Private Cloud.
What is built for private customers is a private cloud, which has very safe and effective services and data protection, and the company can also use some infrastructure for development. e most important thing about a private cloud is resources. It can protect data on the enterprise's firewall and control growth in the position of security protection. It is not a platform for the general public; it only provides services for the company's free employees [22]. Because of this, it can not only improve the security of company data but also save a lot of server equipment and resources. However, the private cloud must be managed and maintained by the company itself, which poses challenges in terms of technology and cost [23].

Hybrid Cloud.
Hybrid cloud combines public cloud and private cloud. It is the main mode and direction of cloud computing growth in recent years. We already know that private clouds are mainly for enterprise users. For security reasons, companies prefer to store data in their personal cloud. But at the same time, they hope to obtain computing resources from public clouds. In this case, hybrid clouds are becoming more and more popular. More uses will combine and match public and private clouds to obtain the best results. is personalized solution achieves the goal of saving money and safety. Hybrid cloud combines the convenience of public cloud with the security of private cloud. e hybrid cloud architecture is more complicated than the other two cloud architectures while enjoying public resources and ensuring the security of resource services [24].

Encryption Algorithm for Big Data Platform Information
Security. A typical cloud service is outsourcing data. Data subjects obtain large amounts of data for storage on cloud servers. Generally, in order to protect data security, the data source can perform some encryption operations on private data before uploading it. Naive Bayes classification is a powerful classification algorithm. It is widely used in various high-dimensional data classifications such as reference systems. Message classification and analysis of medical data have proposed many projects for safe and harmless Bayesian classification protocols in the past few years. ese projects assume that the data set is horizontally or vertically distributed between two or more parts. And, all participants hope to realize harmless Bayesian classification together without disclosing their own information. Unlike their model, each participant can access part of the data set. Compared with previous works, the Bayesian encryption data sorting on the cloud platform faces different privacy issues and is more difficult. In terms of protecting data privacy in external processing environments, cloud servers can only access encrypted data sets, and all processing must be performed in the cloud. e secure comparison protocol is used in many encrypted secure data processing protocols, such as secure kNN query and secure keyword query, classification, security SVM, and other SERQ security range query protocol. With the continuous development of cloud computing services, more and more individuals and organizations apply their own databases and database services to cloud servers, and complete database searches through the powerful computing resources of cloud servers.
is usually saves processing. At the same time, users who protect the privacy of their information usually encrypt the database and upload it to a cloud server.
Function definition: (1) P j � PKeyGen 0 ( ): is function is used to generate a public parameter P j function. At the initial stage, a bilinear group G with a prime number p and a generator g will be selected, and the bilinear pairing operation e: G × G ⟶ G l will be performed. At- e function PkeyGen is shown in formula (1): G l , g, g d , e(g, g) c , T i � g y i n i�1 . (1) (2) M j � MKeyGen 0 ( ): is function is used to generate the master key M j . Among them, g, c, d are defined as the above function MKeyGen as shown in formula (2): (3) A � Encrypt(P j , N, L): is function uses the public parameter P j and the access control structure L to encrypt the plaintext N, and obtains the ciphertext A. Γ is to meet the authorization set collection requirements of the corresponding access control structure. Among them, att(y) returns the attribute information of node y.
(4) S j � SKeyGen (N j , B): is function uses master key N j and user attribute set B to generate user private key S j . As the attribute set associated with the user's private key, B is a nonempty subset of the data file attribute set V. Choose random number c ∈ Z p , individual attribute s ∈ B, random number c s ∈ Z p . e function SKeyGen (N j , B) is shown in formula (4): is function uses the user's private key S j to decrypt the ciphertext CT to obtain the plaintext N. Before defining this function, first define the recursive operation Decrypt(D, S j , z), let i � att(y), each leaf node z can calculate the recursive function Decrypt(D, S j , z) as shown in formulas (5) and (6): (6) For each nonleaf node z, at least j z e(g, g) cq z (0) can be used as Lagrangian polynomial interpolation nodes. After calculation, e(g, g) λq Z s (0) can be obtained, and e(g, g) cq z (0) can be calculated by the child node Z s of node z. Assuming U � e(g, g) cq R (0) � e(g, g)λ s , Decrypt(D, S j ) is as shown in formula (7): e realization of computer cloud computing needs to create certain environment and conditions, especially the architecture must have the following key features. First, it is required that the system must be intelligent and autonomous, and the automatic processing platform should respond intelligently on the premise of reducing manual work, so the cloud system should be embedded with automation technology; secondly, the cloud system should have agile response ability in the face of changing signals or Mobile Information Systems demand signals, so it has certain agile requirements for the architecture of cloud computing. At the same time, with the rapid changes of service level and growth rate, cloud computing is also facing great challenges, and embedded clustering technology and virtualization technology can cope with such changes.

Big Data Information Security Countermeasures on Cloud
Platform. rough the application of cloud computing to establish big data platform information security measures, big data information can be collected, processed, and stored, and big data management can be realized. In order to ensure the security of big data information, corresponding security measures need to be taken.

Build a Big Data Information Security System.
By building large-scale data platforms and cloud computing applications to achieve centralized data information management, data information can play a role in scaling, and the value of data information within the scope will increase exponentially. It is necessary to conduct good supervision and management of data and information to improve the protection of data and information. Pay attention to the training of relevant professional and technical personnel, and continuously improve the big data information security system from the perspective of application.

Strengthen the Research and Development of Big Data Security Technology.
e information network has become an important driving force for social development. With the emergence of large amounts of data, it is obviously difficult to implement data management using existing security technologies. And, the application of computer and network technology has penetrated into all aspects of government, military, culture, education, and daily life. It is very necessary to strengthen the supervision of information network data.
ere is a lot of important information in social and economic life, including government macro-control decisionmaking, financial data, commercial banks, bank stocks, securities, energy resources, and scientific research data, which are mainly sensitive information, even state secrets. ese data must be stored, transmitted, and exchanged, so it often attracts human attacks from all over the world, including data theft, falsification, deletion and addition of data, computer viruses, and so on. ey must also withstand the test of natural disasters. erefore, how to protect computer information security has become a hot topic in computer information security research, and has attracted more and more attention from all walks of life. To ensure the security  of big data, it is necessary to improve the level of information and information security technology by investing in research and development of information and information security.

Strengthen the Supervision and Management of Highly
Sensitive Data and Information. Because a large amount of data is collected on the cloud platform, data with high sensitivity is bound to leak. When using big data, if big data is not used in accordance with regulations, data may be stolen. In order to maintain the security of highly sensitive data, it is necessary to divide the data into different levels, to clarify the scope of the main database, and to manage the confidentiality of the data well, and to strengthen the supervision and management of the data.

Survey Data Analysis.
After investigation and analysis, we conducted investigations in two aspects: the channels of our main information provision and the protection of information technology.

Gender Distribution of Survey Respondents.
Among them, the number of boys is 151 and the number of girls is 149. e gender structure is shown in Table 1:

Information Technology Protection of the Investigator.
e result is the password setting, firewall installation, and operation of related anti-virus software. e difference in information technology protection of people of different genders is shown in Figure 5: As shown in Figure 5, for gender, men's willingness to protect information technology is higher than that of women, because men's preference for computer types will be deeper.

Channels for Providing Main Information.
Basically, most people use different channels, such as registered emails, social activities, job search, and membership, which lead to information leakage. e information leakage of people of different genders through different channels is shown in Figure 6: e wanton spread of personal information on the Internet and endless telemarketing have occurred from time to time. From its root, this is closely related to citizens' lack of sufficient awareness of information protection. Citizens' awareness of personal information protection is relatively weak, which creates conditions for information theft. For example, if you click on the website, you need to fill in relevant information, and some websites even require accurate information such as ID number. Many citizens do not realize that the above behavior is a violation of information security. In addition, some websites openly disclose or sell related information based on the characteristics of weak civic awareness. Furthermore, there is also the risk that information will be used illegally by filling out leaflets and other materials casually in daily life.

Conclusion
When the concept of cloud computing was first proposed, it was still run through some distributed computing. Cloud computing is also called network computing to a certain extent. It can perform functions such as assigning work, calculating results, and analyzing data. In the current information technology environment, various emerging  technologies are developing rapidly and are accepted by more and more ordinary people. A type of distributed computing is called cloud computing, which decomposes big data into small programs through a cloud network, and then collects, analyzes, and records information through the cloud network. Operate. Many back-end servers receive the processed information, and finally feedback all the results to the user for the user to perform the required operation. Using this technology, it can process and feedback tens of millions of data in a short time, so that it can be very effective. Network services. e other kind of technology is big data. It does not end with the acquisition of a large amount of data, but on the basis of obtaining a large amount of data, the data are processed and fed back in a very professional manner, which is similar to a certain degree. e importance of these industries is to improve the profitability of the industry. In daily life, the relationship between big data and cloud computing is not just two technologies. ey are more like the pros and cons of a coin, and the two are interrelated and interdependent. However, the development of the two technologies is still in the preliminary exploration stage, and certain applications have many hidden dangers, which will lead to major data and information security issues. is requires large-scale data platforms to take necessary information security measures to ensure the quality of data information and its value within the scope.

Data Availability
No data were used to support this study.

Conflicts of Interest
e authors declare that there are no conflicts of interest regarding the publication of this article.