Transmission Of Confidential Information Research Articles

A network security protection scheme for tax system based on elliptic curve cryptography

With the rapid development of modern information technology and network technology, the construction of tax informatization plays an important role in improving the level of tax management and work efficiency. However, in the centralized data processing mode, the establishment of large data center and the efficient, stable, and secure connection of server bandwidth have become key challenges. Moreover, the openness and interconnectivity of the tax system network pose various network security threats, seriously threatening the integrity and security of data. For the above issues, this article proposes a tax system network security protection scheme based on elliptic curve cryptography. This scheme combines hash function and elliptic curve cryptography to achieve user anonymity and secure generation of session keys, effectively ensuring the secure transmission of confidential information. The security and effectiveness of the scheme are verified through informal and formal security analysis based on security proof, BAN logic and AVISPA tool. And a comprehensive evaluation of the scheme is conducted, and the results show that the scheme significantly reduced the costs while providing security features.

Android Image Steganography

Abstract: The internet's expansion and technological advancements have facilitated rapid access to multimedia information, yet they have also heightened concerns regarding privacy and security. This has led researchers to explore digital image steganography as a means of securely storing sensitive data within images. Despite the advantages of existing techniques, challenges persist, necessitating the development of novel approaches. Our study proposes an innovative image steganography method to address these challenges, aiming to balance information concealment with visual quality. By concealing messages within images, our approach enhances security while enabling seamless transmission of confidential information.

Hiding Data using LSB in Combination with AES

In our increasingly digital age, steganography has emerged as one of the most trustworthy methods for the transmission of confidential information. This new research improves upon earlier LSB approaches by demonstrating how they may be utilized to efficiently encode secret data into a covert object without causing any obvious distortion. This opens the door for future applications of these methods. A safe data-hiding model will be produced by combining LSB-based steganography with AES; an LSB-based AES-256 encryption has been created and implemented in MATLAB.First, encrypted picture data is produced by encrypting the original image using a 256-bit AES technique. This process takes place before the image is used. The subsequent step includes sending a LSB-based steganography picture to the objective, which additionally contains the scrambled information. Interpreting the steganography picture information and reestablishing the first picture have both been achieved through the work of a similar strategy at the less than desirable finish of the transmission. We have examined and assessed an expansive range of sources of info and results from a few emphasess of the procedure applied to an assortment of picture information types. It is feasible to involve it in numerous useful cryptography applications to go through with steganography picture exchanges in a safer way.

Increasing the Efficiency of Blind Decoding of the Steganographic Method with Code Control of Additional Information Embedding

Modern energy systems are often used as a medium for information transmission, including confidential information, which makes relevant the task of ensuring its security, which today is solved using not only cryptographic but also steganographic means that ensure concealment of the very fact of confidential information transmission. The steganographic method with code control of the additional information embedding possesses practical important qualities, but in its original form requires the presence of a container for successful information extraction, which is not always desirable in practice, while the known modification of this steganographic method allows blind decoding is characterized by an insufficient level of resistance to attacks against the embedded message. The purpose of this paper is to improve the efficiency of the steganographic method with code control of the addition-al information embedding and blind decoding. This purpose was achieved by identifying two factors that determine the occurrence of errors during blind decoding of additional information in the steganographic method with code control: variation of sub-blocks, and errors caused by attacks against the embedded message. We propose the theoretical and practical rationale for codewords that provide the best level of resistance to both factors. The most significant result of the paper is a reduction in the number of decoding errors of the steganographic method with code control of the additional information embedding and blind decoding by 12.01% compared to the result known in the literature through a reasonable choice of codewords used to embed the additional information.

(Simple) applications of steganography for images

Steganography, alongside cryptography, are efficient methods for confidential information transmission. The subject of this paper will be represented by a method of communicating in secret based on steganographic techniques. In the paper's contents a steganographic solution for hiding a text in a container image will be presented, as well as the reverse operation of extracting the text from the steganographic image obtained from a direct method. The result of applying the steganographic method will be compared for different resolutions of the container images. An analysis will be able to occur through visual inspection. The paper's purpose is to highlight the capacity of integration of the stegotext correlated to the image's resolution

Automatic depersonalization of confidential information

Objectives. As the scope of personal data transmitted online continues to grow, national legislatures are increasingly regulating the storage and processing of digital information. This paper raises the problem of protecting personal data and other confidential information such as bank secrecy or medical confidentiality of individuals. One approach to the protection of confidential data is to depersonalize it, i.e., to transform it so that it becomes impossible to identify the specific subject to whom the data belongs. The aim of the work is to develop a method for the rapid and safe automation of the depersonalization process using machine learning technologies.Methods. The authors propose the use of artificial intelligence models to implement a system for the automatic depersonalization of personal data without the use of human labor to preclude the possibility of recognizing confidential information even in unstructured data with sufficient accuracy. Rule-based algorithms for improving the precision of the depersonalization system are described.Results. In order to solve this problem, a model of named entity recognition is trained on confidential data provided by the authors. In conjunction with rule-based algorithms, an F1 score greater than 0.9 is achieved. For solving specific depersonalization problems, a choice between several implemented anonymization algorithm variants can be made.Conclusions. The developed system solves the problem of automatic anonymization of confidential data. This opens an opportunity to ensure the secure processing and transmission of confidential information in many areas, such as banking, government administration, and advertising campaigns. The automation of the depersonalization process makes it possible to transfer confidential information in cases where it is necessary, but not currently possible due to legal restrictions. The distinctive feature of the developed solution is that both structured data and unstructured data are depersonalized, including the preservation of context.

On Secure Uplink Transmissions in Satellite-Aerial Systems

Satellite communication plays an increasingly important role in global wireless systems, which leads to rising concerns about the secure transmission of confidential information. In this paper, we investigate the secrecy outage performance of an uplink satellite-aerial communication system, in which an aerial platform (S) transmits its information over the uplink to a legitimate satellite(D), while an eavesdropping satellite (E) trying to overhear the information delivery between S and D. Specifically, considering the randomness of the positions of D and E and employing the geometric probability theory, a closed-form expression for the lower bound on the secrecy outage probability of the considered system is derived. Finally, Monte-Carlo simulations are conducted to verify our proposed analytical models.

A MODEL OF THE INFORMATION SECURITY EVENT PROCESSING PROCESS AT A CRITICAL INFORMATION INFRASTRUCTURE FACILITY

The article presents a model of the information security event processing process at a critical information infrastructure facility. The information system of one of the medical institutions of the city was chosen as an object of critical information infrastructure. It contains a huge amount of confidential information about patients, medications and medical procedures. The "as is" model was built before the implementation of decision support and the "as it should be" model after its use. The model was built in the ERwin Data Modeler CASE tool, which implements the industry modeling standards IDEF0 and IDEF3, which made it possible to fully cover all aspects of the system and create a visual representation of its operation. The shortcomings of the information security event processing process at the critical information infrastructure facility have been identified and a new approach to their elimination has been identified, providing for the use of a decision support subsystem based on the use of machine learning models using analytical models, which leads to a reduction in the time for identifying incidents and making various management decisions on them. This will allow you to quickly respond to possible threats and minimize the likelihood of incidents. This approach will make it possible to create a system that is adaptive to changes in the operation of the information infrastructure and offer solutions to optimize data processing processes, will increase the security level of storage, processing and transmission of confidential information.

Intelligent federated learning on lattice‐based efficient heterogeneous signcryption

Signcryption technology combines signature and encryption operations in a single step to achieve message authentication and confidentiality. The ordinary signcryption technology cannot realize communication between two different cryptographic systems. Therefore, to implement efficient communication between different cryptosystems and resist quantum attacks, this paper proposes a lattice-based efficient heterogeneous signcryption scheme. The heterogeneous signcryption scheme is proved to be secure assuming the hardness of small integer solution and learning with errors problems. Then this paper applies the lattice-based efficient heterogeneous signcryption scheme to the federated learning system to achieve the transmission of confidential information, and designs an intelligent federated learning system on lattice-based efficient heterogeneous signcryption. This system realizes federated learning and the quantum security of data transmission while preserving private data.

Aspects of Personnel Training for the Computer Security of the Transport Industry

The article presents the features of an integrated approach for training specialists in the field of information security, information security and computer security. The development of a knowledge bank containing information about types of vulnerabilities, tools for their detection, operation and neutralization, tools for confidential information transmission and detection of hidden information is a significant methodic aspect in order for graduates to be in demand in large transport companies, in organizations that deal with the security of different spheres of economics.

Hiding Capacity and Audio Steganography Model Based on LSB in Temporal Domain

Background: Researchers for data hiding using the various encrypting techniques to improve the security of transmission of confidential information through an unsecured channel have been carried out. Methods: In this paper, a new higher recognition Least Significant Bit (LSB) audio data concealment is suggested in this framework. This technique is used to embed the hidden audio into cover audio of the same size. Results: The altered speech file appears as the original carrier file after embedding the secret message. This model strengthens hiding capability and audio quality. Conclusion: The strategy outperforms similar studies by enhancing hiding capability up to 30% and preserving stego audio transparency with the SNR value at 72.2 and SDG at 4.8.

A cyclic prefix based secure side-channel (CP-SSC) over OFDM for LTE D2D sidelink communication

Recent advancements in computing and communication technologies have made the secure transmission of confidential information with conventional cryptographic schemes more challenging. Security at the physical layer has gained attention to mitigate the limitations of cryptographic methods. In this work, we propose a cyclic prefix based secure side-channel (CP-SSC), which can be used to share crucial information over long-term evolution device-to-device (LTE D2D) sidelink even in the vulnerable primary channel. The search space using an exhaustive key-search is analyzed to show the robustness of the security of the proposed side-channel. The bit error rate (BER) results show that the insertion of the proposed side-channel does not have a noticeable degradation on the performance of the primary channel. At the same time, the proposed side-channel provides a high error rate at the eavesdropper.

Patient Confidential Information Transmission Using the Integration of PSO-Based Biomedical Signal Steganography and Threshold-Based Compression

Patient Confidential Information Transmission Using the Integration of PSO-Based Biomedical Signal Steganography and Threshold-Based Compression

ОБНАРУЖЕНИЕ СТЕГОСИСТЕМ, ИСПОЛЬЗУЮЩИХ ПОГРУЖЕНИЕ КОНФИДЕНЦИАЛЬНОЙ ИНФОРМАЦИИ В КОНТУРЫ ИЗОБРАЖЕНИЯ

Introduction: it is well known that the use of stegosystems increases the information security of storage and trans mission of confidential information, ensuring the concealment of the content and the very fact of the presence of classified data in "innocent" covering objects, the most important of which are images, sound and text files, and Internet protocols. The stegosystem is used not only by government agencies, but also in the business community to ensure organizational or technical confidentiality. On the other hand, the technology of detecting stegosystems is also relevant, since it allows organizations and companies to protect classified information from its leakage into the external circuit, as is usually done in the Data Leakage Prevention system. Purpose of the study: the purpose is to study methods for detecting a promising stegosystem with the immersion of confidential information into the contours of a still image with grayscale. Results: a method for finding image contours and an algorithm for immersing information in them are described, an assessment of the amount of embedded information, as well as the possibility of detecting an embedding by visual and histogram methods, is carried out. An approach based on pseudo-randomness tests was used as a more efficient detection method. The results of the experiment convincingly showed that this method of steganalysis has an advantage over traditional methods of detecting stegosystems, especially if it is combined with the Support Vector Machine technique. Discussion: however, when information is embedded only in a certain part of pixels using a stegokey, the considered steganalysis method gives only small improvements in detectability, which indicates a fairly high resistance of stegosystems with embedding in image contours

An Artificial-Noise-Based Approach for the Secrecy Rate Maximization of MISO VLC Wiretap Channel With Multi-Eves

In this paper, we consider improving the secure performance of multiple-input single-output visible light communication channel in the presence of multiple eavesdroppers with multiple photodiodes. Our goal is to design an optimal artificial-noise (AN) aided transmission strategy to maximize the achievable secrecy rate subject to both sum power constraint and peak amplitude constraint. We consider a joint optimization of the transmit covariance and AN covariance for the non-convex secrecy rate maximization (SRM) problem. In order to solve it, the SRM problem is transformed into a series of single-variable semidefinite programming (SDP) problems without losing any optimality, and a one-dimensional search based algorithm is proposed to handle the converted problem, with polynomial complexity. By exploiting Karush-Kuhn-Tucker conditions of the problem, beamforming is found to be optimal for the confidential information transmission. Simulation results show the superior performance of the proposed AN-aided method compared with two other AN-aided methods and no AN-aided method.

Physical Layer Security Enhancement Using Artificial Noise in Cellular Vehicle-to-Everything (C-V2X) Networks

The secure transmission of confidential information in cellular vehicle-to-everything (C-V2X) communication networks is vitally important for user's personal safety. However, for C-V2X there have not been much studies on the physical layer security (PLS). Since artificial noise (AN) and secure beamforming are popular PLS techniques for cellular communications, in this paper we investigate the potential of these PLS techniques for enhancing the security of C-V2X networks. In particular, leveraging stochastic geometry, we study the PLS of an AN assisted C-V2X network, where the locations of legitimate vehicular nodes, malicious vehicular nodes and road side units (RSUs) are modeled by Cox processes driven by a common Poisson line process (PLP), and the locations of cellular base stations (BSs) are modeled by a two-dimensional (2D) Poisson point process (PPP). Based on the maximum signal-to-interference-ratio (SIR) association scheme, we calculate the coverage probability of the network. We also derive bounds on the secrecy probability, which are validated by simulation results. Moreover, we obtain an analytical result of the effective secrecy throughput for characterizing the reliability and security of wiretap channels. Simulation results are given to validate the analytical result, and provide interesting insights into the impact of network parameters on the achievable secrecy performance. Simulation results show that a larger array antenna can provide a better robustness of the secure transmission strategy, and the optimal power allocation ratio between confidential information and AN remains almost unchanged for different numbers of antennas.

A Procedure to Prevent Confidential Information Leakage of Government Organizations in Bangladesh using Isakmp Cryptographic Technique

To ensure security for the transmission of confidential information, Cryptographic algorithms play an important role in providing security against malicious attacks. Confidential information is exchanged among different organizations of the government. If the necessary security is not involved there, the information will be leaked due to un-trusted transmission, unattended nature and get access easily which can cause a disaster in the government system. In this research, my centre of attention is to prevent confidential information leakage in government organization using ISAKMP cryptographic technique.

Features of functioning American youth slang (based on the American animated series The Simpsons)

The article studies the functions of slang and carries out the analysis of the peculiarities of youth slang functions in the context. The author deals with the notion of slang, its classification, and functioning. The article aims to single out main functions performed by the examples of youth slang and differentiate them into sections. The subject of our study is American slang, and the object is the functioning of American youth slang in film discourse. The material of the study is a slang samples from the scripts of five episodes of the 30th season of the American animated series The Simpsons. The sampling criterion was the use of a language unit in one or more available contexts. As a result, we selected 50 slangisms recorded by such dictionaries as Green's Dictionary of Slang, Slang Define, and The Online Slang Dictionary. The material and objectives of the study led to the use of an interpretation method to determine the functions of examples of American youth slang in the context of its use. As a result we distinguished 10 slang functions: expression of belonging to a certain sphere of activity, originality, positive and negative selection from the crowd, adequate perception in the team, enhancement of friendly atmosphere, conciseness, concretization, transmission of confidential information, diversity of language, and emotionality. The analysis showed that the most commonly used function of American youth slang is the tenth one expressing emotionality, 15 examples out of 50 stand for 30%, and the least used is the eight function, the transmission of confidential information, non-sampled, 0 examples stands for 0%.

Measurement-device-independent quantum secure direct communication

Quantum secure direct communication (QSDC) is a unique technique, which supports the secure transmission of confidential information directly through a quantum channel without the need for a secret key and for ciphertext. Hence this secure communication protocol fundamentally differs from its conventional counterparts. In this article, we report the first measurement-device-independent (MDI) QSDC protocol relying on sequences of entangled photon pairs and single photons. Explicitly, it eliminates the security loopholes associated with the measurement device. Additionally, this MDI technique is capable of doubling the communication distance of its conventional counterpart operating without using our MDI technique. We also conceive a protocol associated with linear optical Bell-basis measurements, where only two of the four Bell-basis states could be measured. When the number of qubits in a sequence reduces to 1, the MDI-QSDC protocol degenerates to a deterministic MDI quantum key distribution protocol.

On Countermeasures of Pilot Spoofing Attack in Massive MIMO Systems: A Double Channel Training Based Approach

In this paper, we investigate secure communication in a massive multiple-input multiple-output (MIMO) system with multiple users and multiple eavesdroppers (Eve) under both pilot spoofing attack (PSA) and uplink jamming. Specifically, Eve impairs the normal channel estimation by sending identical pilot sequences with the legitimate users. Based on the impaired channel estimation, the base station adopts linear processing schemes for uplink data reception, which is jammed by Eve, and downlink confidential information transmission. We first evaluate the impact of the PSA on the achievable rate with linear processing, and then propose a double channel training based scheme to combat PSA. By using the channel estimation difference in two training phases, the presence of the PSA can be detected and accurate legitimate channel estimation can be obtained by removing the effect of Eve's channel. Furthermore, we analyze the channel estimation errors and derive a closed-form expression of the minimum mean square error precoding scheme to maximize the minimum achievable secrecy rate, which outperforms the conventional linear precoding counterparts.