Information Leakage Problem Research Articles

Private Data Protection in Social Networks Based on Blockchain

With the rapid development of big data and social networks, user data in social networks are facing huge risks of privacy leakage. It is urgent to establish a complete and effective method for protecting private data in social networks. Based on the problem of information leakage in social networks, classifies user privacy data, and constructs different privacy data protection schemes through blockchain time stamp recording data storage, hash function anonymous operation of data, asymmetric encryption and digital signature of sending information. The blockchain-based privacy data protection method in social networks can effectively solve the privacy leakage problem in social networks, and provide a reference for the research in the field of information security and social network security. This paper designs a new blockchain-based privacy data protection scheme for different privacy disclosure categories, which provides a new solution to the current privacy disclosure problem in social networks. However, the existing methods will consume a lot of computational power in the process of information interaction. The subsequent research will optimize the computational power of blockchain and try to build a better blockchain social network privacy data protection system.

Inadequacy and Improvement of Legal Protection of Sensitive Personal Information

In the era of rapid development of big data, the problem of personal information leakage is widely concerned by the society. Among them, sensitive personal information related to the human dignity of natural persons or basic rights such as personal and property is more important. China introduced the Personal Information Protection Law in 2021 to improve the legal system of personal information protection in China, but due to the short development time of the relevant system for the protection of sensitive personal information, resulting in the legal protection of sensitive personal information faces serious challenges in practice, so it is especially important to improve the legal protection of sensitive personal information in China. Based on this, this paper firstly explains the concept and characteristics of sensitive personal information, then analyzes the shortcomings of the legal protection of sensitive personal information, and finally puts forward suggestions for improvement from different perspectives, including improving the principle of “informed consent", strengthening the supervision of industry self-regulation and improving the principle of imputation.

Quantum secure direct communication scheme with identity authentication

Aiming at the problem that traditional quantum secure direct communication schemes need to assume the legitimacy of both parties in advance, a GHZ state (a quantum state involving at least three subsystems or particles entanglement) based quantum secure direct communication scheme with identity authentication is proposed. The scheme first encodes GHZ state particles into eight types, divides the particles into three parts, and sends them three times. Each time, eavesdropping is added to detect whether the particle detection channel is secure, and identity authentication is added when sending particles for the second time to verify the identity of the receiver. Specifically, according to the value of the ID key IDA, the specified particles (such as <inline-formula><tex-math id="Z-20230114055019-1">\begin{document}$ |0\rangle $\end{document}</tex-math><alternatives><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="2-20221684_Z-20230114055019-1.jpg"/><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="2-20221684_Z-20230114055019-1.png"/></alternatives></inline-formula> particles or <inline-formula><tex-math id="Z-20230114055019-2">\begin{document}$ |+ \rangle $\end{document}</tex-math><alternatives><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="2-20221684_Z-20230114055019-2.jpg"/><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="2-20221684_Z-20230114055019-2.png"/></alternatives></inline-formula> particles) are found in the two particles. Then their positions are marked as <i>L</i> and they traverse down until all the identity keys are traversed, obtaining a position sequence <i>L</i>. After sending the two particles to Bob for eavesdropping detection, Bob measures the <i>L</i> position of the two particles on the corresponding basis according to the value of the identity key, the measurement results are coded, and compared with the identity key IDA to complete the identity authentication. After sending the particles for the third time. the receiver extracts all the detected particles, and then the GHZ state particles are jointly measured, and the original information is recovered through the previously given coding rules, so as to realize quantum safe direct communication. The design of this scheme is simple and efficient, and the communication can be realized without complex unitary transformation. The correctness analysis proves that the scheme is correct in theory. The security analyses of interception/measurement retransmission attack, Trojan horse attack, denial of service attack, auxiliary particle attack, identity impersonation attack, and other attacks prove that the scheme can resist common internal attacks and external attacks, and solve the problem of information leakage. The transmission efficiency of the scheme is 1, the quantum bit utilization is 1, and the coding capacity is a quantum state carrying 3 bits of information. Compared with some previous schemes, this scheme has obvious advantages in these three aspects. The biggest advantage is that the sender does not need to assume the legitimacy of the receiver when sending information, so it has high practical application value.

Research on consumers' personal information security and perception based on digital twins and Internet of Things

In order to solve the problem of personal information leakage caused by online shopping, the researchers propose a consumer personal information security and its perception based on digital twin and Internet of things. This paper takes the online shopping process as the main line, obtains the information security problems existing in each link through the analysis of each shopping link. Analyze the interactions and interactions between digital twins and the big data industry supporting them, cloud computing, artificial intelligence, and online commerce. The results show that among all respondents, the perception of personal information security in the process of online shopping is “uncertain”, accounting for 40.78%. Secondly, the proportion of “agree” and “fully agree” information security is 38.47% and 9.54% respectively, while the proportion of “completely disagree” personal information security is only 1.47%, which shows that consumers are more confident in personal information security in online shopping, and also reflects consumers' lack of perception of existing threats in online shopping. This shows that a considerable number of consumers believe that the online shopping cart and order information are safe, showing their trust in the online shopping website.

Influence of corporate social responsibility considering dual-channel recycling competition and privacy information protection

When conducting transactions of recycling, consumers are now paying more attention to information security, concerning the problem of information leakage. From this perspective, we aim to testify whether constructing offline stores combined with privacy information protection to guarantee information security is worthwhile, and what is the effects of Corporate social responsibility (CSR) on profits of competing companies with dual-channel recycling. We build up models to examine the effects of the offline store construction integrated with privacy information protection on profits of companies. Moreover, we construct several models with the total utility of the enterprise to further evaluate the effect of CSR, which composes of the net profit and the CSR utility under different CSR consideration. The CSR is taken by no entities, only entity with offline channel, only entity with online channel and both entities, respectively. The results show the competing companies could gain the most earnings in the situation that both channels consider CSR, while only the offline channel considers CSR is the worst choice. In addition, the revenue-sharing contract and cost-sharing contract could optimize the profit of enterprise constructing privacy information protection, and the former is better than the latter. This study gives insights into the construction of privacy information protection and the consideration of CSR activities of enterprises, which in turn help boost the recycling process and achieve environmentally sustainable of the recycling industry.

Application of Symmetric Encryption Algorithm Sensor in the Research of College Student Security Management System

In order to solve the problem of information leakage in the process of college students’ information security management, this paper proposes a design of college students’ security management system based on a symmetric encryption algorithm. The system is based on the principle of the symmetric encryption algorithm and follows the principle of encryption independence to ensure the security and reliability of the system. The general framework of the system is analyzed in detail. Secondly, the security and database of system function modules are designed, and finally, the performance of the system is tested. The results are as follows: the safety management system designed in this paper has obtained satisfactory evaluation in the trial universities, accounting for 93% of the trial population. It is proved that this system has clear authority design, high efficiency, and security. Managers can query students’ basic information, students’ real-time location, alarm data information, and so on in real time, which can ensure students’ safety to the greatest extent.

Covert Secret-Key Agreement Protocol Based on the Underwater Acoustic Channel

In order to cope with the problem of information leakage of existing secret-key agreement protocols under the environment of underwater acoustic channel (UAC), a covert secret-key agreement protocol called CSAP is proposed. In CSAP, the transmitter sends the uniformly distributed random messages to the receiver within a certain range of power constraints to ensure the reliability and the covertness of the protocol. The receiver calculates the estimated messages with Gibbs sampling according to the variance information of the underwater noise and uses the Log-Likelihood Ratio (LLR) test to extract the secret-key so as to reduce the uncertainty and the bit error rate (BER) of data transmission between two legitimate parties. The complexity of the CSAP protocol is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${O}$ </tex-math></inline-formula> ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${n}$ </tex-math></inline-formula> ), where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${n}$ </tex-math></inline-formula> denotes the message length. The secrecy, covertness, and reliability of the CSAP protocol are proved by the information theory. The simulation results show that the CSAP protocol reduces the bit error rate (BER) by 28.88%, improves the secret-key generation rate by 25.70%, and decreases the communication cost by 11.32% on average compared to the existing protocol.

A STL decomposition-based deep neural networks for offshore wind speed forecasting

Accurate prediction of offshore wind speed is of great significance for optimizing operation strategies of offshore wind power. Here, a novel hybrid algorithm based on seasonal-trend decomposition with loess (STL) and auto-regressive integrated moving average (ARIMA)- long short-term memory neural network (LSTM) is proposed to eliminate seasonal factors in wind speed and fully exert the advantages of ARIMA processing linear series and LSTM processing nonlinear series. Moreover, wind speed are comprehensively preprocessed and statistically analyzed. Then, we handle information leakage problem. Finally, STL-ARIMA-LSTM model is applied to wind speed forecasting on 3 time-scales. The proposed model has the highest accuracy and resolution for the trend and periodicity of wind speed, and the lag problem of very shortterm wind speed prediction can be solved. This study also shows that when predicting offshore wind speed, we can handle the strong intermittence, volatility and outliers in wind speed by gradually adjusting time scale.

Controlled Quantum Secure Direct Communication Based on Four-Qubit Cluster States and Quantum Search Algorithm

A controlled quantum secure direct communication protocol based on four-qubit cluster states and quantum search algorithm is put forward, in which four users, a sender, a receiver and two controllers, are involved in achieving the secure transmission of secret message. The four-qubit cluster state can ensure the feasibility and security of the protocol because of its large persistency of entanglement. Meanwhile, the idea of quantum search algorithm is used to accomplish the task of encoding and decoding secret message. The proposed protocol can successfully avoid the information leakage problem and resist some common attacks including the outsider attacks and the internal attacks, and its qubit efficiency is up to 20%. Furthermore, compared with the previous quantum secure direct communication protocols, it can effectively resist the attacks from the dishonest receiver.

Application of machine learning in intelligent encryption for digital information of real-time image text under big data

In the context of big data, the exploration of the application effect of machine learning in intelligent encryption for real-time image text digital information aims to improve the privacy information security of people. Aiming at the problem of digital information leakage of real-time image text, the convolutional neural network is introduced and improved by adding a preprocessing module to form AlexNet, to encrypt the digital information of real-time image text. Besides, to take into account both the security effect and the real-time performance of the system, the image text is encrypted by the chaotic sequence generated by a one-dimensional chaotic system called Logistic-Sine and a multi-dimensional chaotic system named Lorenz. In this way, a real-time image text encryption model is constructed by combining the chaotic function and AlexNet. Finally, a simulation experiment is performed to analyze the performance of this model. The comparative analysis indicates that the recognition accuracy of feature extraction of image text by the intelligent encryption model reaches 94.37%, which is at least 3.05% higher than that of other neural network models by scholars in related fields. In the security analysis of image text encryption, the information entropy of pixel values at (0, 0) of the proposed model is close to the ideal value 8. Meanwhile, the value of the number of pixels change rate is generally more than 99.50%, and the value of the unified average changing intensity is generally more than 33.50%. This demonstrates that the model has good security in resisting attacks. Therefore, the constructed model can provide good security guarantee under the premise of ensuring the recognition accuracy, which can provide experimental basis for improving the security performance of real-time image text data in the future.

A novel multivariate statistical process monitoring algorithm: Orthonormal subspace analysis

Partial least squares (PLS) and canonical correlation analysis (CCA) are two most popular key performance indicators (KPI) monitoring algorithms, which have shortcomings in dealing with the KPI-related information leakage problem, the model identification problem, the component selection problem, and the process hypothesis problem. To overcome these shortcomings, this study proposes a new multivariate statistics-based process monitoring (MSPM) method called the orthonormal subspace analysis (OSA) method. OSA divides process data and KPI data into three orthonormal subspaces through an analytic solution. Hence, OSA not only can detect a fault but also can judge whether the fault is KPI-related or KPI-unrelated. OSA is always effective irrespective of the availability of the KPI variables in the online monitoring stage. In OSA, the cumulative percent variance (CPV) method is adopted for principal component selection. In brief, OSA is a more effective method than PLS and CCA, and it achieves superior performance in fault detection and classification.

A Bidirectional Context Embedding Transformer for Automatic Speech Recognition

Transformers have become popular in building end-to-end automatic speech recognition (ASR) systems. However, transformer ASR systems are usually trained to give output sequences in the left-to-right order, disregarding the right-to-left context. Currently, the existing transformer-based ASR systems that employ two decoders for bidirectional decoding are complex in terms of computation and optimization. The existing ASR transformer with a single decoder for bidirectional decoding requires extra methods (such as a self-mask) to resolve the problem of information leakage in the attention mechanism This paper explores different options for the development of a speech transformer that utilizes a single decoder equipped with bidirectional context embedding (BCE) for bidirectional decoding. The decoding direction, which is set up at the input level, enables the model to attend to different directional contexts without extra decoders and also alleviates any information leakage. The effectiveness of this method was verified with a bidirectional beam search method that generates bidirectional output sequences and determines the best hypothesis according to the output score. We achieved a word error rate (WER) of 7.65%/18.97% on the clean/other LibriSpeech test set, outperforming the left-to-right decoding style in our work by 3.17%/3.47%. The results are also close to, or better than, other state-of-the-art end-to-end models.

Quantum dialogue based on quantum encryption with single photons in both polarization and spatial-modedegrees of freedom

<p indent=0mm>In this paper, a novel information-leakage-resistant quantum dialogue (QD) protocol with single photons in both polarization and spatial-mode degrees of freedom is proposed. This protocol utilizes quantum encryption technology to overcome the information leakage problem; the protocol utilizes quantum encryption and decoy photon technologies to dually protect the single photons with two degrees of freedom used for encoding two communicants’ private classical bits, and makes the initial states of the single photons with two degrees of freedom for encoding shared between two communicants through quantum key encryption and decryption. The information-theoretical efficiency of this protocol is 40%.

The Impact of Blockchain on the Healthcare Environment

Bitcoin was the first electronic payment system to truly exploit the power of blockchain technology. There is currently the problem of health information inequality and health information leakage. Physicians should conduct essential routine work that wastes human and financial resources and delays treatment processes. Blockchain provides a trust-free and cost-reducing solution to manage and secure valuable health information. The aim of this study is to discuss research into blockchain healthcare applications. It addresses the management of medical data, as well as the sharing of medical information, the sharing of images, and the management of logs. We also discuss papers that overlap with other fields, such as the Internet of Things, information management, drug monitoring along their supply chain, and aspects of security and privacy. Finally, we analyze and compare the research papers in the medical area and also summarize the strategies used in healthcare with their pros and cons.

Information leakage resistant quantum dialogue with single photons in both polarization and spatial-mode degrees of freedom

In this paper, a novel quantum dialogue (QD) protocol is proposed based on single photons in both polarization and spatial-mode degrees of freedom. In the proposed QD protocol, the initial states of single photons in both polarization and spatial-mode degrees of freedom used for encoding are privately shared between two communicants through the direct transmissions of their auxiliary counterparts from one communicant to another. As a result, the information leakage problem is avoided. Moreover, the detailed security analysis also shows that the proposed QD protocol can resist Eve's several famous active attacks, such as the Trojan horse attack, the intercept-resend attack, the measure-resend attack and the entangle-measure attack. The proposed QD protocol only needs single photons in both polarization and spatial-mode degrees of freedom as quantum resource and adopts single-photon measurements. As a result, it is feasible in practice as the preparation and the measurement of a single photon in both polarization and spatial-mode degrees of freedom can be accomplished with current experimental techniques.

Power information network intrusion detection based on deep learning and cloud computing

With the advent of the computer network era, people like to think in deeper ways and methods. In addition, the power information network is facing the problem of information leakage. The research of power information network intrusion detection is helpful to prevent the intrusion and attack of bad factors, ensure the safety of information, and protect state secrets and personal privacy. In this paper, through the NRIDS model and network data analysis method, based on deep learning and cloud computing, the demand analysis of the real-time intrusion detection system for the power information network is carried out. The advantages and disadvantages of this kind of message capture mechanism are compared, and then a high-speed article capture mechanism is designed based on the DPDK research. Since cloud computing and power information networks are the most commonly used tools and ways for us to obtain information in our daily lives, our lives will be difficult to carry out without cloud computing and power information networks, so we must do a good job to ensure the security of network information network intrusion detection and defense measures.

METHODS OF COUNTERING THE INFORMATION TAKING FROM AN INDIVIDUAL THROUGH MANIPULATION

The article considers the actual problem of information leakage through employees, draws attention to the ways of influencing a person, both open and secret, suggests ways of countering, familiarization with which may prevent leakage.

Medical Sports Data Privacy Protection Method Based on Legal Risk Control.

With the continuous development of computer and network technology, the amount of information storage in medical information system is more and more large, which is prone to the problem of privacy information leakage, resulting in irreparable harm. In order to solve the problem of privacy leakage in the medical environment, a new privacy rating method is proposed according to the actual situation of the medical environment. The big data technology is used to effectively mine, analyze, integrate, and reuse medical data, and a new improved model is proposed. At the same time, the medical information system applying the improved model is designed according to the complex actual needs. The purpose of this paper is to correctly understand the positive role of medical sports big data (BD) research in the medical field and standardize the behavior of medical staff. On the one hand, it can improve the safety awareness of patients and enhance the standardization of medical treatment environment. This paper will analyze the meaning and research status of medical data from the perspective of legal risk control, focus on the status quo and existing problems of medical sports data privacy protection, and put forward positive countermeasures and some practical solutions. The results show that the medical sports information data has certain regularity and particularity, ease to spread, and mining. Hospitals and medical staff should make the areas and items restricted by law clear, standardize their own behaviors, constantly sum up experience, and actively improve and modify relevant measures.

Research on the Application of Data Encryption Technology in Computer Network Security

In the information age, information technology has been used in various fields in China, which has brought great changes to people’s daily life and work, but there are also some information leakage problems of users, which affect people’s property security to a certain extent. In this process, staff should fully understand the background of data encryption technology. Therefore, they need to highlight the application effect of data encryption technology in their daily work, explore the current computer network operating environment, as well as the transmission requirements of information data, so as to bring more quality assurance for people’s convenient life and work, and at the same time, enhance the application value of computer technology in various fields of China with the help of diversified technologies.

Three-party semi-quantum protocol for deterministic secure quantum dialogue based on GHZ states

In this paper, we propose a deterministic secure three-party semi-quantum dialogue (SQD) protocol based on the GHZ states as the initial quantum resource. In the protocol, three communicants can obtain secret message between each other to realize a secure three-party dialogue, one of them has quantum capabilities and the other two have classical abilities. The information leakage problem is prevented in the proposed three-party SQD protocol by using the entangled correlation between three particles in the same GHZ state. In addition, under the premise of introducing decoy photons, the communicants utilize twice eavesdropping detection and a process similar to one-time key encryption to ensure that the SQD protocol can resist multiple types of attacks, such as intercept-measure-resend attack, flip attack, man-in-the-middle attack, Trojan horse attack and entangle-measure attack. Finally, the protocol only involves single-photon measurement, which reduces the participants’ operations on the quantum superposition state and the demand for quantum devices.