Sustainable electronic document security: a comprehensive framework integrating encryption, digital signature and watermarking algorithms

Protecting electronic documents, especially those containing sensitive data, is a major challenge in an open web. The data security industry has long struggled to manage the security of e-books, data shows that information security issues can cause significant economic losses after three years Although cryptographic methods have been proposed as a solution in of these challenges Focusing on speed and efficiency The shortcomings of traditional encryption methods have been thoroughly examined Although a number of network management techniques assure retention privacy and integrity though, when it comes to encryption. Digital signature algorithms, although effective in detecting unauthorized changes and limiting the scope for copyright protection, do not ensure the confidentiality of shared electronic documents When addressing research gaps addressing this issue, the paper proposes a security framework for electronic documents that combines three important security mechanisms: encryption, digital signatures, and watermark algorithms Dhishu By matching their strengths, constraints are overcome. The combination of encryption and digital signatures is explored as a promising approach to protecting electronic documents, ensuring authenticity and confidentiality Importantly, the need to explore security mechanisms such as digital is highlighted emphasis on handwriting, encryption, and watermarking systems in depth

Sustainable optimizing WMN performance through meta-heuristic TDMA link scheduling and routing

Wireless mesh networks (WMNs) have become a popular solution for expanding internet service and communication in both urban and rural areas. However, the performance of WMNs depends on generating optimized time-division multiple access (TDMA) schedules, which distribute time into a list of slots called superframes. This study proposes novel meta-heuristic algorithms to generate TDMA link schedules in WMNs using two different interference/constraint models: multi-transmit-receive (MTR) and full-duplex (FD). The objectives of this study are to optimize the TDMA frame for packet transmission, satisfy the constraints, and minimize the end-to-end delay. The significant contributions of this study are: (1) proposing effective and efficient heuristic solutions to solve the NP-complete problem of generating optimal TDMA link schedules in WMNs; (2) investigating the new FD interference model to improve the network capacity above the physical layer. To achieve these objectives and contributions, the study uses two popular meta-heuristics, the artificial bee colony (ABC) and/or genetic algorithm (GA), to solve the known NP-complete problems of joint scheduling, power control, and rate control. The results of this study show that the proposed algorithms can generate optimized TDMA link schedules for both MTR and FD models. The joint routing and scheduling approach further minimizes end-to-end delay while maintaining the schedule's minimum length and/or maximum capacity. The proposed solution outperforms the existing solutions in terms of the number of active links, end-to-end delay, and network capacity. The research aims to improve the efficiency and effectiveness of WMNs in most applications that require high throughput and fast response time

Fractional order control: A bibliometric analysis (2000–2022)

Fractional order control is one of the most important enablers of advanced closed loop industrial automation systems. This paper presents a detailed bibliometric study of fractional order control related research published during the past two decades (2000–2022) in the Web of Science (WoS) and Scopus indexed sources. The WoS analysis included yearly publications, publication types and top contributing publishing sources, organizations, researchers, countries and research areas. VoS viewer based full counting methodology was used to analyze citation, co-citation and co-authorship based collaborations among authors, organizations, countries, sources and documents. Co-occurrence, timeline and burst detection analyses of keywords and published articles were also carried out to unravel significant fractional control research trends in the last two decades. The Scopus analysis firstly included annual publication counts, subject areas, document types and top contributing authors, sources, nations, institutions and funding agencies. Secondly, dedicated Scopus searches were carried out for hardware implementation, non integer control and patents. Results indicate that the fractional order controller research has been primarily focused in engineering domain, followed by mathematics, physics, automation control systems and computer science. Materials, mechanics and telecommunications are some of the lesser explored areas. There is a lot of scope of fractional order control research related to patents, hardware implementation, non integer control, anomalous diffusion, chaos and task analysis. Future investigations will also include neural networks based machine learning in fractional order control solutions