Encrypted Messages Research Articles

Hide Text within a Video Using Data Encryption Standard (DES) Technology

It is possible to encode a message using one of the encryption algorithms and embed the text within a selected frame from the video, as this is considered a more secure method for handling confidential information. The concealment is deemed unbreakable because the message is encrypted in a manner that prevents decryption, making it challenging to retrieve the hidden text. In this study, Data Encryption Standard (DES) technology was employed to embed the last bits of the chosen video frame using a software-based approach. The frames, decoders, PSNR, and encrypted messages are illustrated in various videos. The results demonstrated minimal impact on the video's accuracy, as concealment occurs in the least significant bits (LSB), preserving the overall precision of the video.

A state-of-the-art universal machine learning framework for decoding suspect coded messages

This proposed framework aims to mitigate global terrorist threats, suspicious activities, and legal violations by introducing an innovative system that monitors encrypted short-text messages across instant messaging programs. In the current landscape, criminals, terrorists, and clandestine entities extensively employ encrypted messages for illicit endeavours on a global scale. Despite the escalating use of encrypted messages on social media platforms, a comprehensive solution for combating online crime is notably absent.The outlined framework addresses this gap by employing a cryptographic system that integrates semantic web ontology, a Predefined Dataset, and machine learning technology for encryption, decryption, and cryptanalysis. A key feature is the framework's ability to predict potential crimes by analyzing blogs for suspicious terminology conveyed through coded information. The identified information is then promptly communicated to law enforcement agencies, thereby alleviating the burden on numerous security entities and offering an efficient strategy against global crime.What sets this proposed framework apart is its unique utilization of encrypted text, a dimension that has remained unexplored in previous studies. The cohesive integration of its components expedites the process of anticipating crime types and significantly reduces the incidence of encrypted crimes on a global scale.

A traceable and revocable broadcast encryption scheme for preventing malicious encryptors in Medical IoT

Medical data sharing is essential for the advancement of medical research, but the existence of malicious encryptors and malicious users poses a major challenge to the seamless sharing of information among healthcare providers. We proposed a traceable and revocable broadcast encryption scheme for preventing malicious encryptors in the Medical Internet of Things (MIoT). In 2023, Wang et al. first proposed the concept of malicious encryptor for broadcast encryption and trator tracing, and they constructed a scheme for preventing this attack. The malicious encryptor is reasonable in real broadcast encryption systems because the encryptor is not always the same as the digital content provider. When digital content providers for medical institutions want to share sensitive medical data, the employees may implement encryption. Then the employees may plant some trapdoors and sell to the black market, which can be used to construct pirated boxes. To resist malicious encryptor attacks, we rely on the uniform distribution of the output of the secure cryptographic hash function to generate the randomness needed for encryption. To prevent malicious users from selling their private keys to attackers, we set up public tracing and revocation mechanisms. Meanwhile, we enable digital content providers to share common encrypted data to different groups of authorized users protected by privacy, while also sharing individual data to designated consumers of those groups. Under the decision q-parallel BDHE assumption without random oracles, our construction is demonstrated to be adaptive IND-CPA secure. Since we have a compact communication bandwidth, a constant user secret key size, and only three bilinear operations are needed for decryption to recover the encrypted broadcast message, our scheme does not add much overhead and is therefore practical.

Методические рекомендации по реализации алгоритма шифрования при помощи кодового слова на Python

The article offers theoretical and practical material on encryption and decryption of text messages using a codeword cipher. Is shown an example of the implementation of the algorithm for cryptographic transformations of the specified cipher in the Python programming language. The development and execution of the Python program code was carried out in a free interactive cloud environment — Google Colab.

Simulation of Gb/s free space optical secure communication using interband cascade laser chaos

We theoretically explore Gb/s message encryption in free space communications exploiting synchronized mid-infrared chaos from unidirectionally coupled interband cascade lasers (ICLs) with optical feedback. The achievable message encryption rate depends on the chaos bandwidth and relaxation frequency oscillation of the ICL which in turn, are determined by the bias current and the number of stages of the ICL. It is shown that message encryption rates up to 4 Gb/s may be obtained with bit error rate (BER) compatible with regular telecommunication systems requirements.

Cryptanalysis and improvement of “group public key encryption scheme supporting equality test without bilinear pairings”

Public key encryption with equality test (PKEET) is a novel primitive which supports equality comparisons on two encrypted messages. Currently, most of the existing PKEET schemes are based on bilinear pairing and require heavy computational overheads. To address this issue, Shen et al. recently proposed an efficient group public key encryption supporting equality test without bilinear pairings scheme. Compared with other schemes, their scheme reduces the usage of expensive bilinear pairing operations and enjoys higher computation efficiency. They claimed that their scheme achieved one-wayness security in the random oracle model and resisted offline message recovery attack. In this letter, we analyze Shen et al.'s scheme through two concrete attacks and demonstrate that their scheme can not support the above two security requirements. An improved scheme is provided to overcome the security vulnerabilities in their scheme. Performance analysis shows that our improved scheme has certain advantages in both computation overhead and storage overhead.

Quantum Key Distribution Shared Protocol Using Teleportation and Delayed Measurement

With the rise of quantum computers, cryptographic protocols are being required to set secure communications. In the current study, a 3-party Quantum Key Distribution protocol is proposed to ensure safe communication considering ideas from BB84 and GR10 protocols against eavesdropping by using a parameterized partially entangled resource. The protocol is built so that the sender is the only one knowing the code key and the message encryption is made ongoing. Delayed measurements are applied just at the end of the protocol to decode the message effectively. The parameter of the entangled resource is used as a double control for the exchange rate of classical communications involved in the procedure. Finally, a security analysis is made, where multiple coordinated attacks could be a threat to this protocol.

Message Encryption in Digital Images using the Zhang LSB Imange Method

Message encryption in digital images using the Zhang LSB Image method is a steganography technique that utilizes the Least Significant Bit (LSB) method to hide secret messages in the last bit of the image pixel. This method allows the use of images as a medium to convey hidden messages. The encryption process involves two main stages, namely message encryption and message hiding in an image. Message encryption is carried out using strong cryptographic algorithms to secure the authenticity and confidentiality of messages. Then, the encrypted message is inserted into the last bit of the image pixel using the LSB method. This is done by modifying the last bit value of the pixel so that the change is not visually visible to the human eye. To recover the original message, the message recovery process involves extracting the last bit of the modified image pixel and decrypting the message using the appropriate key. The Zhang LSB Image method is a steganography technique that is relatively simple but effective in hiding messages in digital images.

Time-Delay Signature Suppression and Communications of Nanolaser Based on Phase Conjugate Feedback

The nonlinear dynamics of nanolasers (NLs), an important component of optical sources, has received much attention. However, there is a lack of in-depth research into the high-quality chaotic output of NLs and their applications in chaotic secure communications. In this paper, we make the NLs generate broadband chaotic signals whose time-delay signatures (TDS) are completely hidden by a phase conjugate feedback structure. And in the two-channel communication scheme, we make the NLs achieve a combination of a low-latency high degree of synchronization and two-channel transmission technique, which enhances the security of message encryption and decryption. We also investigate the effects of system parameters, Purcell factor F, spontaneous emission coupling factor β, and bias current I on the TDS, as well as the effects of parameter mismatch and injection parameters on chaos synchronization and message recovery. The results show that the phase conjugate feedback-based NLs can achieve the suppression of the TDS within a certain parameter range, and it can achieve high-quality synchronization and enhance the security of chaotic communication under appropriate injection conditions.

Molecular Engineering Enables Multi‐Color Room Temperature Phosphorescence of Carbon Dots Composites Derived In Situ, Facilitating their Utilization for Advanced Information Encryption

AbstractLong‐life room temperature phosphorescent (RTP) materials hold significant potential in the fields of optoelectronic devices, information encryption, and bio‐imaging due to their excellent optical properties. However, achieving multi‐color tunable RTP materials has proven challenging. In this study, molecular engineering strategies are employed to select precursor molecules with varying degrees of conjugation such as phthalic anhydride (PA), naphtho[2,3‐c] furan‐1,3‐dione (23NA), and naphthalic anhydride (NA). By combining these guest molecules with a host boric acid matrix through a one‐step microwave method, carbon dots (CDs)composites (PA@BA, 23NA@BA and NA@BA) exhibiting excellent RTP properties are successfully prepared. As the degree of precursor conjugation increased gradually, the phosphorescence color modulation of the composites demonstrates satisfactory transitions from blue to yellow. Notably, CDs are derived in situ within the boric acid matrix while covalent and hydrogen bonds formed between CDs and borate matrix effectively suppress nonradiative leaps and facilitate composite RTP activation. Furthermore, the boric acid matrix acts as insulation against oxygen diffusion and prevents quenching of triplet excitons by external factors. The rationality behind phosphorescence emission mechanism and wavelength modulation is further conformed by density functional theory (DFT) calculations. Finally, CDs composites are successfully applied for advanced message encryption of text and images.

A nonsymmetrical salamo-like fluorescence chemical sensor for selective identification of Cu2+ and B4O72− ions and practical applications

An innovative salamo-like fluorescent chemical sensor H2L, has been prepared that can be utilized to selectively detect Cu2+ and B4O72− ions. Cu2+ ions can bind to oxime state nitrogen and phenol state oxygen atoms in the chemosensor H2L, triggering the LMCT effect leading to fluorescence enhancement. The crystal structure of the copper(II) complex, named as [Cu(L)], has been achieved via X-ray crystallography, and the sensing mechanism has been confirmed by further theoretical calculations with DFT. Besides, the sensor H2L recognizes B4O72− ions causing an ICT effect resulting in bright blue fluorescence. Moreover, the sensor has relatively high selectivity and sensitivity for Cu2+ and B4O72− ions, and the detection limits are 1.02 × 10−7 and 2.06 × 10−7 M, respectively. In addition, the good biocompatibility and excellent water solubility of the sensor H2L make it very advantageous in practical applications, using H2L powder for fingerprint visualization, using H2L to identify the phenomenon of B4O72− ions emitting bright blue fluorescence, making it an ink that can print encrypted messages on A4 paper, in addition to this, based on H2L, the real water sample was tested for Cu2+ ion recognition, and finally the test strip experiment was carried out.

Program med microcontroller for information security devices

A programmed microcontroller for an electronic information security device is developed. Programming of the microcontroller is carried out by using the Atmega 32a controller and the SI programming language. The program runs inside the microcontroller and interacts with circuit components using PINs, thanks to which information can be read and entered. When implementing encryption and decryption algorithms and the Magma encryption algorithm, four types of transformations are used. The controller has small dimensions, so it is convenient to use in devices for fast encryption and short messages that need to be transmitted urgently. To quickly encrypt large amounts of data, the microcontroller can be connected to a given electronic circuit and the input/ output interaction can be adjusted, which expands its functionality. Keywords information security, microcontroller, encryption, decryption, programming, SI programming language, information

Enhanced security in federated learning by integrating homomorphic encryption for privacy-protected, collaborative model training

A significant novel approach in distributed ML, Federated Learning (FL), enables multiple parties to work simultaneously on developing models while securing the confidentiality of their unique datasets. There are issues regarding privacy with FL, particularly for models that are being trained, because private information can be accessed from shared gradients or updates to the model. This investigation proposes SecureHE-Fed, a novel system that improves FL’s defense against attacks on privacy through the use of Homomorphic Encryption (HE) and Zero-Knowledge Proofs (ZKP). Before data from clients becomes involved in the learning procedure, SecureHE-Fed encrypts it. The following lets us determine encrypted messages without revealing the data as it is. As an additional security test, ZKP is employed to verify if modifications to models are valid without sharing the true nature of the information. By evaluating SecureHE-Fed with different FL techniques, researchers demonstrate that it enhances confidentiality while maintaining the precision of the model. The results of this work obtained validate SecureHE-Fed as a secure and scalable FL approach, and we recommend its use in applications where user confidentiality is essential.

Blockchain-based Device Authentication in Edge Computing using Quantum Approach

The Internet of things (IoT) is emerged as a new technology where everything is connected. Large amount of data need to be stored for processing; hence, edge computing can reduce the storage of data in a distributed environment, which enhances processing speed and low usage of bandwidth. With an ever increasing use of IoT devices, issues such as authentication of devices, privacy of data stored, and integrity of data have also increased. The authentication of devices is a major concern for edge-connected IoT devices. The problem was solved by using classical cryptographic algorithms such as Elliptic Curve Cryptography (ECC), Rivest-Shamir-Adleman (RSA), and Diffie-Hellman (DH) for message encryption by using public and private keys that need to be stored. These keys need to be stored on a server for device authentication. In device authentication, storing many keys leads to more computation and storage costs and also increase in delay. With quantum computing and quantum algorithms such as Shor’s and Grover’s, it becomes easy to break the keys of cryptographic algorithms, making the system vulnerable. The proposed work Blockchain based Device Authentication in Edge Computing using Quantum Approach (BDAEC-QA) provides authentication for IoT devices using it’s context information, quantum key distribution (QKD) and blockchain. The proposed scheme uses the smart contracts to store an information of the IoT devices on the server side, which is used by blockchain to provide secure authentication between the edge server and the IoT devices. The proposed scheme also provides communication between IoT devices across the network. The proposed work is compared with “Lightweight Two-Factor-Based User Authentication Protocol for IoT-Enabled Healthcare Ecosystem in Quantum Computing" (LTBA), and “A Blockchain-Based Mutual Authentication Scheme for Collaborative Edge Computing" (BBMA), and has less registration, key generation and authentication delay respectively. The BDAEC-QA scheme uses less computation and storage costs as compared with other existing schemes. The proposed scheme is simulated using the AVISPA tool, to provide the security proofs and analysis that indicate BDAEC-QA scheme is resistant to well-known attacks.

Lattice-Based Cryptography in the Quantum Era: A Survey

The advent of quantum computing reveals current classical cryptography’s incapacity to withstand attacks within the new paradigm. Quantum algorithms break such encryption with impressive ease, with Shor and Grover algorithms being the main perpetrators. Lattice-based key encryption is the suggested solution in multiple instances, as the complexity and randomness that these methods add to message encryption make them one of the best short- and medium-term solutions. In 2016, NIST launched a contest to find algorithms to incorporate into its security standard. Four algorithms from the third round were selected to be standardized, including the lattice-based CRYSTALSkyber. Of the latter, variants have been and are still being developed that manage to amend some weaknesses found in its implementation, such as side-channel attacks or performance issues. This investigation discusses different publications on lattice-based cryptography in conjunction with cryptanalysis in the quantum era.

Study and Analysis of End-to-End Encryption Message Security Using Diffie-Hellman Key Exchange Encryption

The development of the field of communication has progressed rapidly. One example is a message exchange application like Whatsapp. The advancement of technology and innovation in the field of communication has allowed us to connect with people around the world in an easier and faster way. However, with advances in communication technology, new challenges arise related to information security and privacy of messages that have been sent. One solution to overcome this problem is to apply Cryptographic Techniques. In cryptography, data sent over the network will be disguised in such a way with encryption techniques so that even if the data can be read, it cannot be understood by unauthorized parties. The data to be sent without being encoded is known as plaintext, and after being disguised in an encoding way, this plaintext will turn into ciphertext. The method chosen for this journal is the Diffie-Hellman Key Exchange. In this journal, an analysis will be carried out regarding the end-to-end process of securing encrypted messages using the Python programming language.

CYBER CONFLICTS AND NEW PATTERNS OF POLITICAL PROPAGANDA ON THE EXAMPLE OF THE CONFLICT IN UKRAINE

The traditional concept of state sovereignty is shifting towards virtual reality as a result of the development of digitalization and the expansion of cyber warfare techniques and skills, particularly towards the contents of the so-called soft power that are used to attract public support. The case study of the conflict between Ukraine and Russia confirmed to us that, in the current geopolitical landscape, cyberattacks are used as a legal, low-cost strategy to debilitate the opposing side’s material and spiritual well-being. Also, this is how a new form of an asymmetric conflict emerges, which enables actors to inflict significant damage on political opponents and technologically and militarily superior enemies, with the potential for widespread impacts on the members of civil society. Fake news, misinformation, rumors, spins and various forms of unverified content are prevalent in the propaganda war between Ukraine and Russia. This paper also demonstrates how the digital revolution, with its sophisticated seduction techniques, is drawing us further into the world of algorithms, encrypted messages and social media with personalized accesses, along with the trends highlighting the growing power of smart filters controlled by artificial intelligence which determine the accuracy of information even before it is visible. Key words: national sovereignty, cyber conflict, political propaganda, Russia-Ukraine war, algorithms, artificial intelligence, new reality.

Identification and Characterization of Illegal Sales of Cannabis and Nicotine Delivery Products on Telegram Messaging Platform.

Unregulated and potentially illegal sales of tobacco, nicotine, and cannabis products have been detected on various social media platforms, e-commerce sites, online retailers, and the dark web. New end-to-end encrypted messaging services are popular among online users and present opportunities for marketing, trading, and selling of these products. The purpose of this study was to identify and characterize tobacco, nicotine, and cannabis selling activity on the messaging platform Telegram. The study was conducted in three phases: (1) identifying keywords related to tobacco, nicotine, and cannabis products for purposes of detecting Telegram groups and channel messages; (2) automated data collection from public Telegram groups; and (3) manual annotation and classification of messages engaged in marketing and selling products to consumers. Four keywords were identified ("Nicotine," "Vape," "Cannabis," and "Smoke") that yielded 20 Telegram groups with 262 506 active subscribers. Total volume of channel messages was 43 963 unique messages that included 3094 (7.04%) marketing/selling messages. The most commonly sold products in these groups were cannabis-derived products (83.25%, n = 2576), followed by tobacco/nicotine-derived products (6.46%, n = 200), and other illicit drugs (0.77%, n = 24). A variety of marketing tactics and a mix of seller accounts were observed, though most appeared to be individual suppliers. Telegram is an online messaging application that allows for custom group creation and global connectivity, but also includes unregulated activities associated with the sale of cannabis and nicotine delivery products. Greater attention is needed to conduct monitoring and enforcement on these emerging platforms for unregulated and potentially illegal cannabis and nicotine product sales direct-to-consumer. Based on study results, Telegram represents an emerging platform that enables a robust cannabis and nicotine-selling marketplace. As local, state, and national tobacco control regulations continue to advance sales restrictions and bans at the retail level, easily accessible and unregulated Internet-based channels must be further assessed to ensure that they do not act as conduits for exposure and access to unregulated or illegal cannabis and nicotine products.

Innovative image interpolation based reversible data hiding for secure communication

In an increasingly digitized world, secure communication plays a pivotal role in safeguarding sensitive information and ensuring the confidentiality of data transmission. Conventional encryption techniques are robust but often result in a loss of data during transmission, making it challenging to achieve both security and image quality simultaneously. To address this issue, an innovative technique for interpolation-based reversible data hiding (RDH) within images is presented in this study. The interpolation scheme considers the Min function of the neighboring pixels and generates the cover image. After that, a data hiding method is applied to the cover image by considering the intensity range of the pixels using the least-significant bit (LSB) substitution method. The suggested embedding approach first encrypts the secret message, and then it encodes the encrypted secret message into interpolated pixels based on pixel intensity range groups. This technique enables the image to be consistently recreated once the data has been extracted. The percentage increment in the embedding capacity and peak signal-to-noise ratio (PSNR) is 40.00 and 8.64% for the proposed method as compared to the existing method. The experimental results indicate that the proposed technique enhanced the embedding capacity for all test pictures and produced higher PSNR values.

Comparing the RSA and elgamal encryption methods

In the realm of computer science, the speed and efficiency of data processing vary depending on the chosen algorithms and programming languages. This article delves into an exploration of which combinations can yield the highest overall performance. Starting with an introduction to the selected algorithms and languages, the underlying mathematical foundations and principles of each algorithm are presented. The research then shifts its focus to the practical aspect translating these algorithms into executable code. Three specific combinations are tested: RSA algorithm implemented in Python, Elgamal algorithm implemented in Python, and RSA algorithm executed in C++. To ensure reliable results, each combination underwent 30 test iterations, with empirical data subsequently gathered. Two primary comparisons were conducted: the first pitting the Python-based RSA against the Python-based Elgamal, and the second contrasting the Python-based RSA with its C++ counterpart. From these tests, a compelling conclusion emerges. When it comes to transmitting encrypted messages and subsequently decrypting them, the RSA algorithm paired with Python emerges as the most optimal choice. Readers will gain a deeper understanding of the strengths and potential limitations of each pairing, equipping them to make more informed decisions in their cryptographic endeavors.