Decryption Technology Research Articles

A multidimensional image encryption and decryption technology

This paper investigates various current information encryption technologies that are growing quickly, especially different algorithms for encrypting and decrypting unique patterns in image data. The fast Fourier transform (FFT) has emerged as a powerful tool with the potential to significantly impact encryption technology. Current encryption technology is designed to encrypt and decrypt images and is easy to decipher. Hence, this paper presents the proposed encryption and decryption algorithm to improve encryption technology based on an improved Euler integral and FFT; in particular, the algorithm possesses a more complex and multidimensional way to improve encryption technology. The improved algorithm offers the ability to efficiently process and analyze vast amounts of image data. The proposed approach of matching the proposed encryption and decryption algorithms can be applied to cloud computing and quantum computing technology.

High-fidelity decryption technology for visual cryptography based on incoherent optical polarization XNOR operation

In this paper, we propose an optical high-fidelity decryption technology for Visual Cryptography (VC) based on incoherent optical polarization exclusive NOR (XNOR) operation. The plaintext image is divided into two binary ciphertexts by the Random-Grid-based Visual Secret Sharing (RGVSS) algorithm. These ciphertexts are printed onto the polarizing films with orthogonal polarization. The P- and S-polarizing pixels in the polarizing films represent the “black” and “white” pixels of the ciphertexts, respectively. Due to the optical transmission property of polarizing film, the pixel in the decrypted image appears bright only when the stacked pixels for the two ciphertexts have the same polarizing orientation. High-fidelity image decryption is then achieved. The proposed technology has been successfully demonstrated through simulation and experimentation. Thanks to its advantages of no pixel expansion, incoherent illumination, being free of computer assistance, and flexibility of ciphertext carriers, this method provides a broad prospect for convenient, large-format, high-fidelity information recovery applications for VC.

Stimulus-responsive polymer materials toward multi-mode and multi-level information anti-counterfeiting: recent advances and future challenges.

Information storage and security is one of the perennial hot issues in society, while the further advancements of related chemical anti-counterfeiting systems remain a formidable challenge. As emerging anti-counterfeiting materials, stimulus-responsive polymers (SRPs) have attracted extensive attention due to their unique stimulus-responsiveness and charming discoloration performance. At the same time, single-channel decryption technology with low-security levels has been unable to effectively prevent information from being stolen or mimicked. As a result, it would be of great significance to develop SRPs with multi-mode and multi-level anti-counterfeiting characteristics. This study summarizes the latest achievements in advance anti-counterfeiting strategies based on SRPs, including multi-mode anti-counterfeiting (static information) and multi-level anti-counterfeiting (dynamic information). In addition, the promising applications of such materials in anti-counterfeiting labels, identification platforms, intelligent displays, and others are briefly reviewed. Finally, the challenges and opportunities in this emerging field are discussed. This review serves as a useful resource for manipulating SRP-based anti-counterfeiting materials and creating cutting-edge information security and encryption systems.

SMS Security by Elliptic Curve and Chaotic Encryption Algorithms

Short message services (SMS) represent one of the components of the global communications network and are one of the important developments in communication technologies and communications technology. SMS messages without a password are stored in the SMS server. For the purpose of review and dispute resolution. The security of SMS content cannot be protected because it is transmitted in plain text and is accessible to network operators and employees. Therefore, the end-to-end key is based on encryption and decryption technology can provide SMS security. The security protocols used for SMS security on contemporary mobile devices were examined in this study. SMS security system encryption time affects how well mobile devices work. This shows that security technologies take longer to generate keys and encrypt keys as the key size increases. Due to the limited processing power of mobile devices, large-scale algorithms such as DES, AES, RC4, and Blowfish are not suitable for SMS encryption. SMS may be encrypted using the elliptic curve technique because it provides great security with a smaller key on devices with limited resources, such as mobile phones. And chaotic theory, encryption is simple, fast and secure data encryption. As a result, a combination of elliptic curve algorithm and chaotic encryption algorithm is proposed to achieve a high level of security. In this paper, several tests have been done to compare the algorithms in terms of throughput, power consumption, SMS size, encoding time, and decoding time. The results indicate that the proposed method is better than the comparison method.

An image decryption technology based on machine learning in an irreversible encryption system

In this paper, a hidden image decryption system based on neural network is proposed. Hidden images converted into phase information are encoded and weighted to overlay the host image by the principles of double random phase encryption. Because the hidden image is phase information, it will be converted into intensity image after being encrypted and received by the image sensor, which makes the system unable to retrieve the image information using the phase recovery algorithm and the conventional decryption method, so this is an irreversible coding system. However, by using a convolution neural network to process a large number of ciphertext and its corresponding plaintext, a neural network model can be trained, by which ciphertext can be directly converted to the corresponding plaintext, and the successful decryption of conventional irreversible encryption systems can be achieved. Moreover, the decryption process of the system does not need to provide the host image, so it is a blind watermarking technology. Computer simulation results show that the encryption system proposed in this paper based on machine learning decryption has high security and accuracy.

Attribute-based searchable encrypted scheme with edge computing for Industrial Internet of Things

Storing the data generated in the Industrial Internet of Things has become a method to solve data redundancy. Still, data security and privacy protection have become an issue that cannot ignore. Attribute-based searchable encryption can encrypt and retrieve data without exposing users’ privacy. In this paper, we introduce an attribute-based searchable scheme combining online/offline encryption and outsourcing decryption technology, which uses a reusable ciphertext pool to reduce the computation in the encryption stage, and uses an edge server to reduce the cost of resource-constrained users through outsourcing decryption. To improve the solution’s security, the specified server can authenticate the cloud server in the searchable location. Finally, our scheme is proven to satisfy CCA2-secure and is efficient in performance and safety analysis. In a word, the algorithm is suitable for the actual Industrial Internet of Things environment.

Simple optical encryption and decryption strategy based on bilayer soft actuator and laser-induced structural color.

Advanced encryption and decryption strategies are of great significance for information protection and data security. Visual optical information encryption and decryption technology plays an important role in the field of information security. However, the current optical information encryption technologies have shortcomings such as the need for external decryption equipment, the inability to read out repeatedly, and information leakage, which hinder their practical application. By combining the excellent thermal response characteristics of the MXene-isocyanate propyl triethoxy silane (IPTS)/polyethylene (PE) bilayer and the structural color generated from the laser fabricated biomimetic structural color surface, an approach of encrypt, decrypt, and transmit information has been proposed. The microgroove-induced structural color is attached to the MXene-IPTS/PE bilayer to form a colored soft actuator (CSA) to realize information encryption and decryption, and information transmission. Benefiting from the unique photon-thermal response of the bilayer actuator and the precise spectrum response of the microgroove-induced structural color, the information encryption and decryption system has the advantages of being simple and reliable, which has the potential application in the field of optical information security.

Decryption and Encryption of Data

In the digital age, the security of data has become a paramount concern. This research paper explores the fundamental concepts and practical applications of encryption and decryption as essential tools for ensuring data security. It delves into the historical evolution of encryption methods and the mathematical foundations of cryptographic algorithms. The paper provides a comprehensive overview of popular encryption algorithms, key management techniques, and the role of encryption in protecting data at rest, in transit, and during processing. Decryption techniques and potential vulnerabilities are also discussed, along with cryptographic attacks and countermeasures. The legal and ethical implications of encryption, including issues related to privacy and government access, are examined in the context of recent legislative developments. Real-world case studies illustrate the impact of encryption on cybersecurity incidents. The paper concludes by looking ahead to future trends in encryption and decryption technologies, addressing emerging challenges and opportunities in data security.

Sophisticated yet Convenient Information Encryption/Decryption Based on Synergistically Time-/Temperature-Resolved Photonic Inks.

Exploring high-safety but convenient encryption and decryption technologies to combat threats of information leakage is urgently needed but remains a great challenge. Here, a synergistically time- and temperature-resolved information coding/decoding solution based on functional photonic inks is demonstrated. Encrypted messages can be stored into multiple channels with dynamic-color patterns, and information decryption is only enabled at appointed temperature and time points. Notably, the ink can be easily processed into quick-response codes and multipixel plates. With high transparency and responsive color variations controlled by ink compositions and ambient temperatures, advanced 3D stacking multichannel coding and Morse coding techniques can be applied for multi-information storage, complex anticounterfeiting, and information interference. This study paves an avenue for the design and development of dynamic photonic inks and complex encryption technologies for high-end anticounterfeiting applications.

High-fidelity decryption technology of Visual Cryptography based on optical coherence operation

This paper proposes a high-fidelity decryption technology for secret images based on Visual Cryptography (VC) and optical coherence operation. The secret image is converted into two ciphertext images using the VC encryption algorithm, and loaded into two secret vectors respectively. A coherent optical illumination system is built to align the spatial information of the two secret vectors, and decryption is achieved by generating coherent subtraction at the diffraction center of the image plane, the effect is the same as the “XOR” logic operation between two secret images. Both simulation and optical experiments are compared between the optical coherence “XOR” and “OR” operation, and the decryption results demonstrate that the decryption method based on optical coherence “XOR” logic operation outperforms the method based on optical “OR” logic operation in various evaluation indicators such as Structural Similarity (SSIM), Corresponding Coefficient (CC), and Signal-to-noise ratio (SNR). The decryption method provides a broad prospect for the simple, convenient, and high-fidelity information recovery application of VC.

The Application of Data Encryption Technology in Computer Network Communication Security

With the development of computer network and the popularization of information system, the security of databases, as platforms for centralized storage and sharing of information system data, has increasingly become a serious problem in the field of information security, so data encryption technology has come into people’s sight. However, the current data encryption technology still has certain shortcomings, such as the inconsistency of the code text of the encryption and decryption technology, and the low efficiency of decoding and encryption. The purpose of this paper is to study the application of data encryption technology in computer network communication to provide better suggestions and explore better methods for improving network communication security system. This article, through the analysis of the database threat model and database application system structure, puts forward a design scheme of database encryption system model. A complete database encryption system can be divided into five logic modules: a key storage module, key engine module, key information module, key management module, and data storage module, and provides an in-depth analysis of the various parts and implementation details related to these modules. Finally, the designed encryption system model is programmed to be implemented; with the help of online examination system, the function and performance of the encryption system were tested; and the transmission efficiency of data encryption is maintained at more than 95%, which proves the effectiveness of the system.

Development of secure Internet of Vehicle Things (IoVT) for smart transportation system

Intelligent Transportation Systems (ITS) have attracted significant attention for their potential to improve transportation in urban and highway contexts as automotive infrastructures and automobiles have progressed. The characteristics of heterogeneity, constrained resources, scaling requirements, an uncontrolled environment, and so on make security and privacy concerns far more difficult to tackle than they are today. The high availability required by IoT networks may risk the integrity and security of data carried over the network. Because the majority of security threats occur during data routing activities, developing a safe routing protocol for IoT networks has emerged as the most important research subject. The efficient procedures required to allow secure data transfer for autos enabled by IoT technology are detailed here. Using a novel cryptography-based routing mechanism, this study demonstrates how to protect V2V and V2I communications in the context of the VANET against a wide range of cyber threats. It is a data encryption and decryption technology based on attributes and identity that has been designed to have the lowest computational overhead while retaining the best level of security. To provide efficient message authentication and integrity while ensuring vehicle privacy and safeguarding vehicular communications, a hybrid cryptography system integrating ABS and IBS, named AIBS (Attribute-Identity Based Signature), was created. The recommended cryptography-based solution is tested in the presence of prospective attackers on the network while using the NS2 tool. The simulation results have been measured in terms of average throughput, Packet Delivery Ratio (PDR), communication delay, and communication overhead.

Water-induced reversible phase transformation between cesium lead halide perovskite nanocrystals enables fluorescent anti-counterfeiting

A novel information encryption and decryption technology was demonstrated based on chemical conversion between perovskite nanocrystal films.

Создание карты разломов Центрально-Камышового мегантиклинория Западно-Сахалинских гор по данным космических съемок

The network of fault zones caused by vertical and horizontal tectonic displacements blocks of Earth’s crust relative to each other is clearly visible on the Earth’s surface in images obtained from satellite surveys. Many researchers distinguish linear and annular structures among the faults. Lineaments in satellite images are detected as rectilinear objects with a certain spectral brightness. The initial data for the experimental research includes images from the Landsat-8 satellite and SRTM data. The lineament analysis of satellite images and SRTM data of the Central-Kamyshovy meganticlinorium of the West Sakhalin Mountains was carried out using the functionality of the LEFA software package using the developed decryption technology. The obtained results were processed using the QGIS program tools. Statistical processing of Sakhalin lineaments was carried out on the basis of researching distribution directions of linear segments set of vector strokes data and lineaments data. The map of disjunctive disturbances of the Central-Kamyshovy meganticlinorium of Western Sakhalin Mountains on a scale 1:500 000 was compiled by basis of data obtained. The analysis of SRTM model with the help of LEFA toolkit made it possible to identify zones where discontinuous disturbances of the Earth’s crust are located. As a result of analysis, West Sakhalin fault and many other faults of a rank below 2 were identified. Fault zones are mapped on scale of 1:500 000. It was revealed that 15.3 % of all earthquakes in this area were timed to the Krasnopolsky fault, including in the zone within 1 km from the fault—70 %, 1–2 km—19 %, 2–3 km—9 %, more than 3 km—2 %. The results of work will be useful in choosing places for construction of industrial facilities, as well as for seismic zoning of territory.

Analysis of CAN bus encryption and decryption performance of different chips

In the rapid development of intelligent network connected vehicle, many information security risks have been exposed. The application of CAN bus encryption and decryption technology can solve the problem of safety communication in vehicle intranet. The sender and the receiver use the same set of key. The sender encrypts the data before sending it, and the receiver decrypts the data before applying it. In order to study the influence of CAN bus encryption and decryption on transmission efficiency, taking tc299, s32k144, mpc5606b and spc560b54 chips as examples, different encryption and decryption algorithms are used to encrypt and decrypt data of different lengths. The research shows that the time of symmetric encryption is much less than that of asymmetric encryption; With the increase of the length of the data to be encrypted and decrypted, the time required for encryption and decryption also increases; There is no significant difference in encryption and decryption efficiency between different chips. The time consumed by encryption and decryption is us level, which will not affect the real-time performance of the bus.

The encryption and decryption technology with chaotic iris and compressed sensing based on computer-generated holography

The encryption and decryption technology with chaotic iris and compressed sensing based on computer-generated holography

Performance analysis of NTRU algorithm with non-post-quantum algorithms

In opportunistic networks, the nodes connect to each other wirelessly and use the store-carry-forward technique to transmit the data from one node to another node. The nodes in opportunistic networks are heterogeneous, having high mobility, limited power, low density, short radio range, and numerous security threats to unauthorized nodes. The fundamental challenge in an opportunistic network is to secure and protect the information during communication in networks to achieve the user’s confidence. This issue is technically resolved by incorporating the cryptography algorithms that make both the virtual and modern world in a safer position. Asymmetric Cryptography makes information unintelligible to an unauthorized user and provides confidentiality to genuine users. Encryption and decryption technology are solutions to protect data from unauthorized users. There are many opportunistic network algorithms in the existing literature that provide optimal performance. However, in this research work, we propose the NTRU post-quantum algorithm because of its high performance, low cost, and fast execution during encryption and decryption of the data over the network. We also implemented and analyzed the performance of the proposed NTRU algorithm and compared its results with the Elliptic Curve Cryptography and ElGamal algorithm. After the result analysis, we conclude that our proposed technique is highly effective and secure.

DETECTION ZONES OF DISJUNCTIVE DISLOCATIONS FOR THE TERRITORY OF NORTHERN SAKHALIN BY DATA OF SPACE SURVEYS

The article presents results of the research of disjunctive dislocations of the earth's crust in northern part of the Sakhalin Island by analyzing the fields of lineaments, which identified on basis of satellite surveys using the LEFA software package. The object of research was chosen not by chance: eastern part of territory of the north of Sakhalin Island is quite well studied by geological and geophysical methods in order to identify oil and gas-bearing structures, as well as in connection with the close attention to it after catastrophic Neftegorsk earthquake on May 28, 1995. The result of work of the predecessors made it possible for verify the reliability of results obtained and assess of prospects to using automated decryption technologies to identify seismically active zones. The purpose of work was to create maps of active fault zones on studied territory. In process of the work, the SRTM data and Landsat-8 satellite images for 2015-2020, obtained in eight spectral channels, were analyzed using algorithms for detecting the location of lineaments based on methods of mathematical processing of images using different algorithms. It was revealed that images obtained in the red, infrared zones of the electromagnetic spectrum (4, 5, 6, 7), and the panchromatic channel (8) are most informative for identifying disjunctive disorders. Based on the data obtained, maps of disjunctive disorders of Sakhalin Island on scale of 1: 500,000 compiled. The article has certain novelty due to fact that the LEFA technological techniques were first used for research the geologically complex structures of Northern Sakhalin. The main results of the work will be useful in choosing places for construction of economic and industrial facilities, as well as in the exploration, search and operation of mineral deposits.

An Efficient Ciphertext-Policy Weighted Attribute-Based Encryption for the Internet of Health Things.

The Internet of Health Things (IoHT) is a medical concept that describes uniquely identifiable devices connected to the Internet that can communicate with each other. As one of the most important components of smart health monitoring and improvement systems, the IoHT presents numerous challenges, among which cybersecurity is a priority. As a well-received security solution to achieve fine-grained access control, ciphertext-policy weighted attribute-based encryption (CP-WABE) has the potential to ensure data security in the IoHT. However, many issues remain, such as inflexibility, poor computational capability, and insufficient storage efficiency in attributes comparison. To address these issues, we propose a novel access policy expression method using 0-1 coding technology. Based on this method, a flexible and efficient CP-WABE is constructed for the IoHT. Our scheme supports not only weighted attributes but also any form of comparison of weighted attributes. Furthermore, we use offline/online encryption and outsourced decryption technology to ensure that the scheme can run on an inefficient IoT terminal. Both theoretical and experimental analyses show that our scheme is more efficient and feasible than other schemes. Moreover, security analysis indicates that our scheme achieves security against a chosen-plaintext attack.

USING FOG AND REPLICATION TECHNIQUES INORDER TO ENHANCE CLOUD DATA SECURITY

In recent days with the tremendous increase of unstructured data, cloud storage technology gets more attention and better development. All the user’s data is totally stored in the centralized cloud servers rather than in their own location. Traditional privacy protection methods are usually based on encryption and decryption technology, but those methods don’t resist attack from the internal or external attacker of cloud server. In order to solve this problem, we try to apply fog computing and data replication technique for providing more security for the sensitive data. The proposed techniques can both take full advantage of cloud storage and protect the privacy of data. However, appropriate replica placement in a large-scale, dynamically scalable and totally virtualized data centers is much more complicated. In order to develop a cost-effective availability, minimize the response time of applications and make load balancing for cloud storage, a new replica placement like Efficient Dynamic Replication Algorithm (EDRA) is proposed. Here we divide data into different parts. And then place the data blocks in a replicated manner in local machine and fog server and cloud server in order to protect the privacy. By conducting various experiments on our current approach the theoretical and experimental evaluation has been validated, which is really a powerful supplement to existing cloud storage scheme.