Information Security Protection Research Articles

Text information security protection method based on computer-generated holograms

Currently, computer-generated holograms (CGHs) based on ray tracing technology are generated faster and faster, and the reconstructed scenes are getting bigger and bigger and contain more and more information. Based on this situation, there are also more applications of using CGHs to hide information, but there is a lack of research on the ability to hide information. To address this issue, this paper proposes a point-sampling CGH method based on ray tracing. Our method utilizes ray tracing techniques to rapidly sample text information at different depths in the scene and hides the depth-encoded text information in the carrier image using discrete cosine transform. The reconstructed image after embedding shows good results, with a peak signal-to-noise ratio (PSNR) of 29.56 dB between the hidden images before and after embedding. The PSNR value between the embedded carrier image and the original carrier image is 51.66 dB, making it difficult for the human eye to distinguish, thereby effectively protecting the generated CGH. We also analyzed the maximum information density and observed that computational holograms obtain the maximum information density at 200×200 resolution.

The Impact of ChatGPT on Finance Technology

With the rapid development of science and technology, financial technology has risen rapidly around the world and has become a key driving force in the financial field. The emergence of natural language processing models such as ChatGPT, has brought new possibilities to financial services. This paper mainly studies the role and impact of ChatGPT in financial technology. Focus includes its applications in customer service, investment advice and risk management, as well as the potential impact of these applications on financial operations and user experience. The purpose of the research is to gain an in-depth understanding of the application of ChatGPT in the financial field, and reveal its potential contribution to improving financial service efficiency. This study uses literature analysis, case analysis and data analysis. Through systematic combing of relevant literature, we can understand the development status of ChatGPT in financial services. The research of this paper found that ChatGPT has a significant influence in the field of financial technology. Its application in customer service can improve service efficiency and provide users with faster and more personalized services. However, to ensure information security and privacy protection, financial institutions need to carefully weigh the pros and cons when adopting ChatGPT technology.

Challenges and Recommendations for the Pension Tourism Market in the Era of Internet Plus

With the rise of "Internet Plus", the integration of the pension industry and the tourism market is facing unprecedented challenges while also presenting boundless opportunities. This study aims to explore the underlying motivations, analyze the difficulties encountered in the development of the pension tourism market, and put forward countermeasures. Moreover, the operation mode and promotion mode of the pension tourism market in the era of the "Internet Plus" are analyzed in this research through the combination of supply-demand analysis, literature review, and case analysis. The result shows that the changes in Internet technology and market demand pose challenges to the traditional pension tourism market; however, they also provide new opportunities for industry integration and market segmentation. Our research conclusion emphasizes that the industry needs to cultivate talent, introduce intelligent management, strengthen personalized services, simplify service processes, and protect information security to adapt to the changes in the Internet era so as to achieve sustainable development.

Control modeling and optimization of network information security system based on deep learning data interaction

In order to solve the problem of poor network security protection performance of traditional network information security protection systems, the author proposes a network information security system control modeling based on deep learning data interaction. Adopt CY8C2453 type processor to improve system data exchange and data processing speed, enhance system stability through peripheral backplane, and evaluate network information security, at the same time, the authority management mechanism is set, and the general strategy form of the network attack and defense game is defined as a triple, calculate the attacked path in a certain network area and the defense strategy that the defender should choose, so as to complete the network information security protection based on the attack-defense game model. Experimental results show that: The number of attacked information of the system is 58 less than that of the traditional system; In the webpage attack, the number of attacked information of the designed system is 82 less than that of the traditional system; In the data interception attack, the number of attacked information of the designed system is 77 less than that of the traditional system. ConclusionUnder different attack behaviors, the number of successful attacks on the network information security protection system based on the attack-defense game model designed this time is less than the number of successful attacks on the traditional system, which improves the security of network information.

Information Security and Privacy Protection Strategies in the Process of Electronic Archiving

In the era of digital transformation, electronic archiving plays a pivotal role in preserving and managing vast amounts of information. However, as organizations increasingly rely on electronic archives, ensuring robust information security and privacy protection becomes paramount. This paper proposes a comprehensive framework for enhancing information security and privacy protection strategies within the electronic archiving process. Drawing upon insights from the fields of cyber security, data privacy, and archival science, our framework addresses key challenges and offers practical solutions to safeguard sensitive information throughout its lifecycle. Through a synthesis of existing literature, case studies, and expert interviews, we identify critical vulnerabilities and propose proactive measures to mitigate risks associated with unauthorized access, data breaches, and privacy violations. Our framework integrates technical controls, policy guidelines, and organizational practices to establish a resilient architecture that fosters trust, integrity, and confidentiality in electronic archiving systems. By adopting our proposed strategies, organizations can strengthen their defiance mechanisms and uphold the principles of information security and privacy in the digital age.

Research on College Network Information Security Protection in the Digital Economy Era

In the era of the digital economy, the informatization degree of various industries is getting deeper and deeper, and network information security has also come into people’s eyes. Colleges and universities are in the position of training applied talents, because of the needs of teaching and education, as well as the requirements of teaching reform, the information construction of colleges and universities has been gradually improved, but the problem of network information security is also worth causing people to ponder. The low security of the network environment will cause college network information security leaks, and even hackers will attack the official website of the university and leak the personal information of teachers and students. To solve such problems, this paper studies the protection of college network information security against the background of the digital economy era. This paper first analyzes the significance of network information security protection, then points out the current and moral problems, and finally puts forward specific countermeasures, hoping to create a safe learning environment for teachers and students for reference.

Cyber Security Challenges in Industry 4.0: A Review

In the era of Industry 4.0, when smart factories and networked systems are reshaping the landscape of industrial production, the protection of important data and information security is a top priority. Cyber-physical systems and the technology that supports it are the keys to Industry 4.0. It is founded on four essential design principles: interoperability, availability of information, technological assistance, and decentralized decision-making. These design principles, however, provide new weaknesses that could be exploited by bad people. To protect these systems from emerging dangers, great consideration should be given to the proactive and adaptive security measures, which will consequently enable the continuing growth and success of Industry 4.0 technologies. This paper will delve into the multifaceted challenges that Industry 4.0 presents in terms of data security and the emerging solutions and strategies required protecting vital information in this brave new world of manufacturing. The exploration of these challenges and the proposed solutions are essential for businesses and policymakers alike to navigate the complexities of data security and ensure the resilience of critical information in the digital age of Industry 4.0.

Blockchain user digital identity big data and information security process protection based on network trust

This study aims to delve into the knowledge graph, functional pathways, and qualitative logic among elements such as network trust, blockchain organization, user identity, big data, and information security in the digital economy era. Through an analysis of the endogenous and exogenous explicit management logic relationships among these elements, this study innovatively constructs three primary dimensions and nine secondary dimensions of digital identity attributes for users. Additionally, it establishes a collaborative management mechanism between government organizations and non-governmental blockchain alliances corresponding to identity attributes based on the delegated proxy mechanism. Furthermore, it reconstructs the big data chain management framework for user digital identity under the zero-trust model and establishes a management process for blockchain digital identity information security protection under the zero-trust model. These efforts provide innovative solutions with both research and application value for the “virtual-real integration” global security governance of the metaverse, digital economy, and digital government.

A Trusted Authentication Scheme Using Semantic LSTM and Blockchain in IoT Access Control System

In edge computing scenarios, due to the wide distribution of devices, complex application environments, and limited computing and storage capabilities, their authentication and access control efficiency is low. To address the above issues, a secure trusted authentication scheme based on semantic Long Short-Term Memory (LSTM) and blockchain is proposed for IoT applications. The attribute-based access control model is optimized, combining blockchain technology with access control models, effectively improving the robustness and credibility of access control systems. Semantic LSTM is used to predict environmental attributes that can further restrict user access and dynamically meet the minimum permission granting requirements. Experiments show that when the number of certificates is 60, the computational overhead of the proposed method is only 203s, which is lower than other state-of-the-art methods. Therefore, the performance of the proposed schema in information security protection in IoT environments shows promise as a scalable authentication solution for IoT applications.

Enhancing Security through Advanced Image Steganography Techniques

The project aims to explore various types of steganography techniques, with a focus on image steganography, where information is concealed within images. This involves decrypting the hidden data to retrieve the message image, a process that can be achieved through different methods. The study delves into image steganography, which involves hiding information such as text, images, or audio files within other image or video files. Specifically, the project concentrates on utilizing steganography to embed an image within another image using spatial domain techniques. By examining this particular method, the project seeks to deepen understanding of how image steganography operates and its potential applications. This research contributes to the field by providing insights into the implementation and effectiveness of steganography techniques, offering valuable knowledge for information security and data protection purposes. Through practical demonstrations and analysis, the project aims to showcase the capabilities and limitations of image steganography, facilitating further research and development in this domain. Ultimately, the project endeavors to enhance comprehension of steganography methods and their significance in safeguarding digital information

Model of current threats to security of confiden-tial data in divisional information systems

The paper proposes a model for determining actual threats to the information security of distributed information systems, based on algorithms of fuzzy inference and the theory of fuzzy neural systems, unlike known ones, uses sufficient and necessary indicators, excludes expert errors, increases the detection of the number of actual threats to information security of distributed systems by 5 %, reduces the cost of purchasing information protection equipment from 15 to 30%. It takes into account the following factors: the IT infrastructure of the distributed information system, the capabilities of attackers and their level of motivation in the distributed information system, the list of existing protection tools in the distributed information system.
 The proposed approach differs from existing ones in the following: lack of involvement of highly qualified specialists in the field of information security; the process is automated, has a low computational complexity; absence of deficiencies in expert assessments; allows you to determine the list of current information security threats in information systems of various classes and types.
 The task of ensuring the security of confidential information becomes the most urgent, which is due to the growth of computer attacks and leaks of information, which are reflected in the statistical data on the commission of crimes in the field of high technologies, the growth of criminal activity using modern communication devices and the Internet.
 Existing methods of modeling current threats to information security and assessing the effectiveness of the information protection system cannot be used at all stages of the life cycle of distributed information systems - they do not take into account the following indicators in the complex: IT infrastructure of distributed information systems, current threats to information security, security requirements for confidential information, a list of means of protecting confidential information and their value as important indicators when solving these problems.
 In order to achieve the goals of ensuring the security of confidential information, it is necessary to: organize the effective creation of an information protection system (information security system), effective modeling (identification of the list) of current threats to information security, identification of the current violator, and also provide the opportunity to conduct a qualitative assessment of the effectiveness of the information security (protection) system.
 One of the most important tasks of ensuring the security of confidential information is the assessment of the effectiveness of the protection (security) system. In this regard, the goal of the work (research) is to improve the quality of the evaluation of the effectiveness of the protection (security) systems of distributed information systems by determining sufficient and necessary evaluation indicators using modern (promising) information technologies that allow the most effective solution of the following tasks: determination operating parameters of adaptive production fuzzy neural systems, which are most suitable for solving the tasks, application of Data Science technologies in data processing, fuzzy output algorithms.

Double laser-faults based PFA on cryptographic circuits with algebraic analysis

Cryptographic algorithms have been employed in a variety of fields as the primary method to protect information security. The security of a cryptographic algorithm is closely related to its operating environment and physical devices. Algebraic Persistent Fault Analysis (APFA) is a new fault analysis method for block ciphers proposed in CHES 2022, which utilizes the fault that persists in encryptions and introduces algebraic analysis in the fault analysis step. In the fault injection step, as the transistors of the integrated circuit are getting smaller and tighter, even high-precision devices may cause more than one fault per injection. However, more faults may lead to a more efficient attack in the fault analysis step. In this paper, APFA for double faults is proposed, which can deal with the double faults model and reduce the number of required ciphertexts. The practicality of our fault injection is validated by laser fault injection experiments on the SRAM embedded in an ATmega163L microcontroller. The effectiveness of our fault analysis is proven by successfully recovering the key of PRESENT-128 and AES-128. The number of ciphertexts needed for key recovery is reduced by 46% compared to PFA with a single fault.

Research on Information Security Protection in The Context of Post-epidemic Tourism Revival

After the epidemic, the tourism industry is experiencing an unprecedented revival, and the problem of information security has gradually become an important factor restricting the development of tourism. Through in-depth analysis of the background of tourism revival, the challenges faced and domestic and foreign laws and regulations and other issues, this paper puts forward a series of targeted solutions, including investment in technical construction, provide infrastructure and other technical means, as well as improve the relevant laws and regulations, establish and improve the enterprise management mechanism and strengthen supervision and other non-technical strategies. These measures help to ensure the data security of the tourism industry in the process of digital transformation, and promote the healthy and sustainable development of the tourism industry.

Development of the information-analytical system for monitoring external communications of the enterprise in C#

Information security and data protection are currently important elements of the activity of any enterprise. The changes taking place in the global economy stimulate the emergence of new software products that reduce the risk of confidential data leakage. The article proposes a solution to the problem of monitoring and evaluating the communications of enterprise employees with customers, customers and partners. As a result of the study, a software system for monitoring and evaluating two types of messages was developed: voice and text. The main method in the development of this monitoring system is a technical and forensic analysis. With its help, a software implementation of the system was created in the C# programming language. The program consists of two main functional parts: the first part is designed to process audio files, the second is responsible for the analysis of text messages. Also, a detailed description of the main procedures of the program operation is given, taking into account differences in the methods of storing and processing data, which is justified by different formats of the analysed files. Using the developed program can help the enterprise build a communication strategy to reduce further possible costs and identify as much data as possible about intruders. In the future, this system can be improved, and supplemented with functionality and a more user-friendly interface.

Application of Artificial Intelligence Technology in Electronic Information Security Protection System

Application of Artificial Intelligence Technology in Electronic Information Security Protection System

Application of Blockchain Based on Fabric Consensus Network Model in Secure Encryption of Educational Information

Abstract This paper combines blockchain technology with an information encryption algorithm to design a blockchain-based educational information protection model. It focuses on the role of Fabric architecture and blockchain data structure for information security protection. A chaotic cipher is used to encrypt the information, combined with the iteration of nonlinear functions to generate pseudo-random numbers to realize the unpredictability of the information. Using symbolic dynamics to obtain the control parameter or initial value of the chaotic mapping, combining the sequence of symbols to solve for another value, and finally presenting it in the form of ciphertext in the client for the data accessor to query and access the data. The effectiveness and practicality of educational information security encryption are examined by applying the model of constructed information protection. The results show that the response time of the blockchain module changes depending on the information, and the response time is basically maintained between 2.2 seconds and 2.4 seconds, which is in a reasonable range. In educational information security defense, the information protection model is able to effectively defend the network against attacks, with the highest number of attacks against the attack named external, with the highest number close to 50 million.

A Matrix Coding-Oriented Reversible Data Hiding Scheme Using Dual Digital Images

With the development of Internet technology, information security and data protection have become particularly important. Reversible data hiding is an effective technique for data integrity and privacy protection, and secret image sharing is a distinct research field within reversible data hiding. Due to the ability of sharing secret information between two receivers and the larger embedding capacity compared to the traditional reversible data hiding scheme, dual digital images have also attracted extensive research in the past decade. In this paper, we propose a reversible data hiding scheme based on matrix coding using dual digital images. By modifying the bits in the pixels, we can conceal three bits of the secret message in two pixels. In other words, the embedding rate reaches 1.5 bits per pixel (bpp). The experimental results demonstrate that our method has a significantly larger embedding capacity of 786,432 bits compared to previous similar methods while still maintaining acceptable image quality defined by a peak signal-to-noise ratio (PSNR) greater than 30 dB. The proposed scheme is suitable for applications required to pass a large amount of data but with minor security of image quality to be visually acceptable.

JURIDICAL ANALYSIS OF PUBLIC INFORMATION DISCLOSURE IN GOVERNMENT SYSTEMS IN THE DIGITAL ERA

This article conducts a juridical analysis of public information disclosure in government systems in the digital era. The purpose of compiling this article is to identify legal issues related to public information disclosure in the digital era and provide appropriate legal solutions to overcome these problems. The research method used is a literature study by analyzing laws and regulations related to public information disclosure, as well as collecting the latest data and information about the use of information technology in government in a descriptive-analytical manner. The study results show that public information disclosure is a basic principle in a democratic government system that is fundamental for strengthening government accountability and encouraging public participation in policy-making. In the digital era, public information disclosure is becoming increasingly important, but it also requires the protection of information security and privacy because public information disclosure in the digital era has complex legal implications, such as issues of information security, personal data protection, and copyright issues. This article suggests that the government strengthen regulations regarding public information disclosure in the digital era, including developing strict information security standards and protecting intellectual property rights. In addition, the government also needs to increase public awareness about their right to obtain public information and develop an effective and efficient information system to facilitate access to public information.

Retracted: Industrial Information Security Detection and Protection: Monitoring and Warning Platform Architecture Design and Cryptographic Antitheft Technology System Upgrade

Retracted: Industrial Information Security Detection and Protection: Monitoring and Warning Platform Architecture Design and Cryptographic Antitheft Technology System Upgrade

Retracted: Information Security Protection of Internet of Energy Using Ensemble Public Key Algorithm under Big Data

Retracted: Information Security Protection of Internet of Energy Using Ensemble Public Key Algorithm under Big Data