University of Rajasthan

The rapid advancement of quantum computing threatens to undermine classical cryptographic primitives, creating an urgent need for post-quantum secure alternatives. Lattice-based Attribute-Based Encryption (ABE) has emerged as a promising direction, combining fine-grained access control with quantum resistance derived from lattice assumptions such as Learning With Errors (LWE) and Ring-LWE. This paper presents a systematic literature review of lattice-based ABE schemes published between 2022 and 2025, following the PRISMA methodology to ensure a rigorous and transparent study selection process. From an initial corpus of more than 7,800 studies retrieved across IEEE Xplore, SpringerLink, Elsevier ScienceDirect, MDPI, and Google Scholar, 1,236 studies were screened, resulting in 90 works selected for in-depth qualitative and quantitative synthesis. The review analyzes the evolution of lattice-based ABE in terms of mathematical foundations, security models, performance characteristics, and application domains. Particular emphasis is placed on emerging use cases in cloud computing, the Internet of Things (IoT), healthcare, financial systems, and government compliance, each evaluated against requirements such as revocation support, lightweight design, searchability, and multi-authority governance. Quantitative synthesis reveals uneven feature coverage across the literature: searchability is supported in 45.6% of schemes and lightweight constructions in 36.7%, whereas policy hiding (16.7%) and revocation (22.2%) remain comparatively underexplored. Performance trends indicate ciphertext sizes averaging 5.8 kB per attribute, with only 12% of schemes achieving compact representations below 2 kB. Moreover, fewer than 36% of surveyed constructions provide IND-CCA security, highlighting persistent challenges in achieving robustness against adaptive adversaries. By integrating structured research questions with quantitative trend analysis, this study offers both descriptive and evidence-backed insights into the current state of lattice-based ABE. The findings identify critical gaps in efficiency, security guarantees, and standardization, and inform a forward-looking research roadmap emphasizing lightweight revocation mechanisms, efficient policy hiding, stronger IND-CCA security models, and the need for standardized benchmarking frameworks. This survey thus serves as a comprehensive reference for researchers and practitioners working on post-quantum secure access control systems, particularly in privacy-sensitive domains such as healthcare.

Aim: The present study aimed to evaluate the influence of different organic substrates on oxidative stress and antioxidant defense mechanisms in the earthworm Perionyx excavatus, with particular emphasis on biochemical responses, antioxidant enzyme activities, oxidative damage biomarkers, and reactive oxygen species (ROS) balance under vermicomposting conditions. Methodology: A controlled laboratory experiment was conducted over a 28-day exposure period to assess oxidative and biochemical responses of P. excavatus under 04 substrate treatments: garden soil (control), cow dung + sugarcane bagasse (1:1), horse dung + sugarcane bagasse (1:1), and a mixed substrate of cow dung + horse dung + sugarcane bagasse (1:1:1). Biochemical parameters such as total protein content and antioxidant enzymes including superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) was analyzed. Detoxification enzyme glutathione-S-transferase (GST) and reduced glutathione (GSH) levels were also quantified. Oxidative damage was assessed through lipid peroxidation (MDA) and DNA damage using comet assay. Data were expressed as mean ± standard deviation (n = 5) and analyzed using one-way ANOVA followed by Tukey’s HSD test (p < 0.05). Results: Organic substrates significantly modulated biochemical and oxidative responses in P. excavatus. Treated groups exhibited elevated protein content and antioxidant enzyme activities compared to the control. The mixed substrate showed the highest SOD, CAT, GPx, GST activities and GSH levels, indicating enhanced antioxidant defense. Conversely, the horse dung + bagasse treatment exhibited increased lipid peroxidation and DNA damage, reflecting higher oxidative stress. Conclusion: Substrate composition strongly influences oxidative physiology in P. excavatus. Mixed substrates enhance antioxidant defenses and reduce oxidative damage, supporting efficient vermicomposting. The species also serves as a reliable bioindicator of substrate quality and oxidative stress.

Finfluencers are on the rise in the social media space. This phenomenon is reshaping financial advice and affecting especially the highly digital-native clients. The effect of the unprecedented access to financial information is twofold: On the one hand, people’s concerns about decision making and the sustainability of financial decisions made in highly persuasive social media environments have grown. On the other hand, previous research has mainly been centred on finfluencers’ impact on investment intentions, with limited focus on the role of basic behavioural aspects on responses to different types of financial content, and how the latter relate to sustainable financial behavior. This study explores how trust, impulsiveness, and verification tendencies shape individuals’ preferences for budgeting and investment advice on social media. A survey of 357 Indian users, combined with K-means clustering, ANOVA, and thematic analysis, revealed that budgeting preferences vary across behavioral clusters, while investment preferences do not. Verification and trust predicted budgeting content preference, whereas impulsiveness reduced preference for structured advice. Simplicity, credibility, and emotional appeal drove trust. A typology categorizing advice formats was proposed. The study provides practical insights for finfluencers and educators on promoting sustainable financial practices. The findings of the study contribute to behavioral finance by integrating user behavior, content analytics, and qualitative insights.

This study aspires to analyze a wave energy converter (WEC) through its hydrodynamic efficiency featuring a stationary submerged thin vertical plate (STVP) situated at free surface level (z = 0 m). The investigation incorporates arrangements with both flat and uneven seabed profiles, and also various wave steepness conditions. To perform the computational work, a numerical wave tank (NWT) is developed utilizing the ANSYS Fluent 2024 R2 software, and the fluid interface tracking is done employing the volume of fluid (VOF) approach. Stokes waves of second-order are produced at NWT entrance using the inflow velocity approach, and the wave reflection is minimized at the end by using numerical damping. The effect of four distinct relative opening (α) and wave height (H), with uneven bottom, is evaluated and subsequently compared to the hydrodynamic efficiency over a flat sea bed. The study is conducted for four distinct wave time periods (T) in the range of 1.16–2 s. The axial flow velocity under the stationary plate is computed for various conditions, such as (a) thin plate only, (b) thin plate and a trapezoidal structure of distinct altitude below it. This research study illustrates that optimal efficiency occurs at α2 = 50%. Additionally, axial flow velocity (vx) exhibits elevated values at T = 1.87s for increased wave steepness. The findings indicate noticeably improved hydrodynamic efficiency with higher wave steepness.