Підвищення ефективності стеганографічних систем на основі глибоких автоенкодерів у контексті інформаційної безпеки

This scientific work is devoted to the development and improvement of information protection methods to counteract unauthorized access to information activity facilities and their telecommunication networks. The conclusions of the study indicate the need to implement innovative solutions to increase the level of security in modern cyberspace. An improved algorithm for determining and transferring node hosts in the Blockchain system is proposed, which uses floating hosts to increase the adaptability of the network to external attacks. This allows to automatically close ports during scanning, making it difficult for attackers to access the system and increasing the overall level of network protection. A study of GPT models has shown their high efficiency in detecting cyberattacks on information activity facilities and their telecommunication networks. GPT-4.0 has demonstrated increased efficiency in processing and detecting various types of attacks compared to GPT-3.5, which provides faster response time and improves the overall level of security. The developed method of collecting event logs from decoys based on Blockchain provides high fault tolerance and reliability of logs, which is critically important for protecting information objects and telecommunication networks. The decentralized nature of Blockchain prevents unauthorized editing of information, creating a reliable system for storing attack data. The developed model of a dynamic system of active traps based on software decoys using Blockchain technology integrates decentralized and automatically updated attributes of traps. This increases the effectiveness of network protection, reduces the load on the infrastructure and the response time of services during attacks, which increases the channel throughput and data transfer rate. The developed mathematical description of the calculation of dynamic attributes of software decoys takes into account the capabilities of Blockchain Solana, which made it possible to model and optimize the distribution of network resources. This increased the effectiveness of protection and ensured a quick response of services during external attacks. The method of using Blockchain-based software decoys obtained in the work increases the resources required by the attacker to carry out an attack, which increases the response time of cybersecurity specialists. The use of dynamic Blockchain-based software decoys demonstrates better performance compared to static and other dynamic analogues, increasing the overall level of computer network security. The proposed cybercrime research system detects known attacks 31% faster and is able to detect unknown attacks thanks to training the Isolation Forest model. The time for analyzing cybercrimes has been significantly reduced thanks to the use of the GPT model, which provides an effective and fast response to threats.

An Up-to-Date Compendium on the Physics and Mathematics of Polarization Phenomena Polarized Light and the Mueller Matrix Approach thoroughly and cohesively integrates basic concepts of polarization phenomena from the dual viewpoints of the states of polarization of electromagnetic waves and the transformations of these states by the action of material media. Through selected examples, it also illustrates actual and potential applications in materials science, biology, and optics technology. The book begins with the basic concepts related to two- and three-dimensional polarization states. It next describes the nondepolarizing linear transformations of the states of polarization through the Jones and Mueller–Jones approaches. The authors then discuss the forms and properties of the Jones and Mueller matrices associated with different types of nondepolarizing media, address the foundations of the Mueller matrix, and delve more deeply into the analysis of the physical parameters associated with Mueller matrices. The authors proceed to interpret arbitrary decomposition and other interesting parallel decompositions as well as compare the powerful serial decompositions of depolarizing Mueller matrix M. They also analyze the general formalism and specific algebraic quantities and notions related to the concept of differential Mueller matrix. The book concludes with useful approaches that provide a geometric point of view on the polarization effects exhibited by different types of media. Suitable for novices and more seasoned professionals, this book covers the main aspects of polarized radiation and polarization effects of material media. It expertly combines physical and mathematical concepts with important approaches for representing media through equivalent systems composed of simple components.

For efficently caching mixed-media, this paper discusses several network-adaptive cache management schemes. Considering the characteristics of different types of media, we first proposed a multi-level page-size management scheme. Then, a media-characteristic-weighted replacement policy is presented to improve the hit ratio of mixed media including continuous and noncontinuous media. Lastly, a network-condition- and media-quality-adaptive resource management mechanism is described to dynamically re-allocate cache resource for different types of media according to their request patterns. Simulation results demonstrate effectiveness of our propsoed approaches.

Corrigendum to "Effect of rutin and its derivatives on citrinin production by Monascus aurantiacus Li AS3.4384 in liquid fermentation using different types of media" [Food Chem. 284 (2019) 205-212

Internationally, there are indications of an increasing trend in suicide contagion and clustering, which has been associated with contemporary communication technology and continuous communication across jurisdictions. Research has indicated varying effects related to different types of media and media contents in terms of impacts on suicidal behaviour. A comprehensive literature search was conducted into research addressing different types of media and media contents and the impact on suicide contagion and clustering, covering January 2003 - February 2021. Across the 41 selected studies, we identified consistency in terms of both increased quantity of media reports and portrayal of specific details of suicide cases, including celebrities and fictional cases, to be significantly associated with suicide contagion and increased suicide rates or mass clusters, with significant impacts on increased risk of suicide contagion within the first days up to the first three monthsfollowing the media coverage. The impact of potentially harmful content and the portrayal of suicide and self-harm via internet sites and social media on suicide contagion and clustering was largely consistent with research into impacts involving traditional media. The findings underline the need to prioritise implementation and adherence to media guidelines for reporting suicide for media professionals, online and social media outlets.

Efficient mesenchymal stem cell conversion to corneal keratocytes by the use of specific biomaterial and Cell Rev™ mSC diffKera media

The purpose of this study was to compare the learning motivation of students who used graphic learning media and those who used word walls. In addition, the purpose of this study was to determine whether or not there were significant differences between the two types of educational media. A quantitative experiment was conducted for the purpose of this study on students from Pajawankidul Elementary School enrolled in grade III A. The experimental class consisted of students from grade III A, while the second experimental class consisted of students from grade III B. When conducting the sampling method, a number of different types of media, such as word walls and photos, were used. The sample included a total of twenty male students and twenty-eight female students. The total number of students participating in the sample was twenty. Students in grades III A and III B who were studying science showed various learning interests when they were exposed to word walls and image learning media on their computers, according to the conclusions of the study presented. Third-grade students of Pajawankidul Elementary School had better learning motivation when they utilized word walls as one type of media compared to visual media.

BackgroundThis observational study assessed the relation between mass media campaigns and service volume for a statewide tobacco cessation quitline and stand-alone web-based cessation program.MethodsMultivariate regression analysis was used to identify how weekly calls to a cessation quitline and weekly registrations to a web-based cessation program are related to levels of broadcast media, media campaigns, and media types, controlling for the impact of external and earned media events.ResultsThere was a positive relation between weekly broadcast targeted rating points and the number of weekly calls to a cessation quitline and the number of weekly registrations to a web-based cessation program. Additionally, print secondhand smoke ads and online cessation ads were positively related to weekly quitline calls. Television and radio cessation ads and radio smoke-free law ads were positively related to web program registration levels. There was a positive relation between the number of web registrations and the number of calls to the cessation quitline, with increases in registrations to the web in 1 week corresponding to increases in calls to the quitline in the subsequent week. Web program registration levels were more highly influenced by earned media and other external events than were quitline call volumes.ConclusionOverall, broadcast advertising had a greater impact on registrations for the web program than calls to the quitline. Furthermore, registrations for the web program influenced calls to the quitline. These two findings suggest the evolving roles of web-based cessation programs and Internet-use practices should be considered when creating cessation programs and media campaigns to promote them. Additionally, because different types of media and campaigns were positively associated with calls to the quitline and web registrations, developing mass media campaigns that offer a variety of messages and communicate through different types of media to motivate tobacco users to seek services appears important to reach tobacco users. Further research is needed to better understand the complexities and opportunities involved in simultaneous promotion of quitline and web-based cessation services.

Cross-modal retrieval is a hot topic in the fields of machine learning and media retrieval, making it possible to relate different types of media, such as image, text, and audio. A powerful method for the cross-modal retrieval, discrete cross-modal hashing (DCH), has recently been proposed. The DCH can encode different types of media feature vectors to binary codes. When stored in a database, the binary code makes searches efficient because the Hamming distance between the corresponding sections of two binary codes can be computed via a specialized CPU operation. Moreover, it has recently been shown that when optimizing hash functions for supervised discrete hashing (SDH), Hadamard matrices can be used, and this technique is named “HC-SDH”. In this study, we apply the HC-SDH to cross-modal hashing. Experimental results demonstrate that the proposed cross-modal hashing can achieve the same performance as the conventional DCH with 1/24 of the training time.

As the reliance on networked devices and software applications grows, there is a need for robust, secure, and cost-effective software update management approaches. To facilitate safe software updates, this paper proposes a blockchain-enabled ecosystem that generates keys, payment, and QR codes for delivery and authorization. The proposed Cost-Efficiency, Scalable, Stable ecosystem was thoroughly analyzed and evaluated. It is shown that the key generation systems provide strong protection against software piracy, while the blockchain backbone prevents unwanted manipulation. Safe banking integration paves the way for smooth monetization while QR-code-based delivery makes it easier for users to engage while reducing errors and increasing adoption rates. While the individual formation of these towers has greatly improved the overall level of security, they have inherent disadvantages as structures. Simple, secure payment methods are often not enough, and CP- ABE can be to monitor and implemented quite difficult because of its complexity. To resolve these drawbacks, we proposed a new ecosystem, where a secure payment method is combines with the resilience of Advanced Encryption Standard (AES) cryprographic algorithm. Instead of relying on OTPs, our solution uses a unique approach of encrypting OTPs and showing them as QR codes. This innovative technique effectively minimizes the risk of third-party applications compromising payment transactions, ensuring a secure and successful currency transfer.

The article examines the methods of social engineering used by attackers to gain unauthorized access to confidential information and manipulate the behavior of victims. The main types of attacks, such as phishing, vishing, smishing, pretexting, spear-phishing and whaling, as well as their features, implementation mechanisms and methods of deceiving users, are considered. Particular attention is paid to the psychological aspects of social engineering, including the influence of fear, trust, urgency, social proof and cognitive biases on the decision-making process. Modern approaches to protection against social engineering attacks are outlined, which include a combination of technological and educational methods. Measures are proposed to increase the digital literacy of users, develop information security policies, use multi-factor authentication, user behavior analysis systems and artificial intelligence to detect threats. Particular attention is paid to the use of large language models to identify fraudulent schemes and automate cybersecurity. The results of the study indicate the need for a comprehensive approach to protection against social engineering attacks, which involves synergy between technological tools and the human factor. The proposed recommendations are aimed at minimizing risks and increasing the overall level of security in the digital environment.

A significant growth of the number of embedded systems connected to the cloud services in the recent years has brought numerous new applications, but also exposed the IoT ecosystem to new threats and challenges in the security domain. The well-known and widely used security protocols such as SSL and TLS address these challenges successfully. However, they were primarily designed to protect the web traffic in a context where the bandwidth usage and computational power are not a big issue. In a case where massive-scale IoT connectivity is a requirement, it is of critical importance to optimize the bandwidth usage, without compromising the overall level of security. Our solution is presented in this paper, where we combine a low-bandwidth NB-IoT communication module with a hardware security element, in order to achieve secure connectivity to the cloud services, while reducing the communication overhead and offloading the computationally difficult security algorithms from the host MCU. By implementing the most recent version of TLS (v1.3) with an ECC-based key exchange scheme, we achieve 60% of reduction in the communication overhead during the handshaking phase in comparison to the widely used RSA-based TLS implementations.

Many credible threats against hazardous materials (hazmat) transportation exist in the United States. This paper outlines the overall regulatory approach to hazmat transportation security by commercial motor carriers in the United States and focuses on the well-received training and outreach efforts that have been put in place to improve the overall level of security in the United States. In the post-September 11, 2001 (9/11), environment, safety-oriented agencies are being asked to accommodate a new role in the security arena. Many regulations affect the highway transportation of hazmat. The Federal Motor Carrier Safety Administration is primarily concerned with the enforcement of safety regulations, and the Research and Special Programs Administration (RSPA) regulates hazmat transportation across all modes. Recently, RSPA implemented new requirements for security assessments and security plans. Because many motor carriers previously did not have much experience with security issues, the guidance provide...

Section 2 - Filter Media

Haptic interaction with virtual objects is a major concern in the virtual reality field. There are many physically-based efficient models that enable the simulation of a specific type of media, e.g. fluid volumes, deformable and rigid bodies. However, combining these often heterogeneous algorithms in the same virtual world in order to simulate and interact with different types of media can be a complex task. In this paper, we propose the first haptic rendering technique for the simulation and the interaction with multistate media, namely fluids, deformable bodies and rigid bodies, in real-time and with 6DoF haptic feedback. Based on the Smoothed-Particle Hydrodynamics (SPH) physical model for all three types of media, our method avoids the complexity of dealing with different algorithms and their coupling. We achieve high update rates while simulating a physically-based virtual world governed by fluid and elasticity theories, and show how to render interaction forces and torques through a 6DoF haptic device.