Authors - Polinati Vinod Babu , M.V.P Chandra Sekhara Rao , Kolagotla Venkateswara Reddy , Manukonda Ravi Chandra , C P Pavan Kumar Hota , Kurumalla Suresh Abstract - The web services today are flooded with automated bots, distributed request floods and IP based attacks. Traditional firewalls are based on either a static signature rule or an opaque machine learning model that is not very transparent. We introduce ShieldNet, a lightweight Web Application Firewall (WAF), which is developed in FastAPI and Redis as a state storage. The explainable real-time request filtering performed by ShieldNet is on the basis of a deterministic decision pipeline, a combination of IP reputation scoring (Redis backed, counts on infractions), SlowAPI based rate limiting, Detection of bot user agent, Up-to-date use of open access threat feeds (spamhaus, abuse.ch, etc.). Request identities can be provided as either permitted (HTTP 200), rate limited (429) or blocked (403); all of which can be traced through the middleware layers. Synthetic load testing and feed validation reveal low latency, high throughput and high detection fidelity. The system has good performance, scalability and interpretability balance thus it can be used in real-time web security implementation.
Authors - Apolinar P. Datu, Pamela V. Zuniga, Chona S. Lajom, Jobert D. Bravo, Renen Paul M. Viado, Ma. Yvonne Czarina C. Angcaya, Maricris Punzalan Abstract - Higher education institutions play a critical role in advancing sustainable development, particularly through effective and inclusive communication practices supported by digital technologies. This study examined the role of Information and Communication Technology (ICT) standards in shaping effective communication strategies for sustainable development in higher education. Using a quantitative descriptive research design, data were collected through a structured questionnaire administered to thirty (30) higher education personnel, including faculty members, administrators, and ICT staff aged 22 years and above. A 4-point Likert scale was utilized to measure levels of ICT standards implementation, communication effectiveness, accessibility and inclusivity, system interoperability, and stakeholder engagement. The findings revealed a high level of ICT standards implementation across participating institutions. Results further showed that ICT standards strongly influence the clarity, reliability, timeliness, and organization of communication strategies. Standardized ICT practices were also found to enhance accessibility and inclusivity in digital communication, support system interoperability, and improve stakeholder engagement in sustainability-related initiatives. Overall, the study highlights that ICT standards serve as essential enablers of coherent, inclusive, and sustainable communication in higher education. The findings underscore the importance of strengthening ICT standards to support institutional sustainability goals and foster meaningful stakeholder participation.
Authors - A Aruna kumari, Sri Vishnu Prabhu Gudavalli, Tamminana Visweswari Abstract - This project presents a hybrid architecture, which combines sequential and non-sequential models, to detect diabetic retinopathy (DR) in retinal fundus image data using deep learning. The model has a non-sequential backbone feature extraction layer, a pre-trained ResNet50, built using the Functional API of Keras to allow flexibility and skip connections. On top of that, a functional custom sequential classifier head is added, comprising of, e.g., GlobalAveragePooling2D, Dense, and Dropout layers, also constructed in a functional manner to ensure the architecture is coherent. The classifier is used to make a binary prediction: DR or not. The model was trained using the EyePACS data using different techniques of image preprocessing, including resizing, normalization, and augmentation. The resulting architecture is completely accurate and exhibits good generalization on unseen data, which indicates the effectiveness of transfer learning in combination with deep sequential classifiers. This bifurcated architecture is understandable and performance-wise attractive to be used in clinical decision support in diabetic retinopathy screening.
Authors - Masaki Murakami, Atsuhiro Goto Abstract - Post-quantum cryptography (PQC) migration in the financial sector is a resource allocation problem shaped by network interdependence. This study develops a prototype dynamic simulation model that incrementally introduces cyber-risk internalization: starting from a baseline without cyber-risk channels, adding firm-level direct cyber loss, and finally incorporating systemic cyber loss propagated through the financial network. The paper quantifies how the scope of cyber-risk internalization determines migration outcomes under a shared investmentallocation framework. Results show that firm-level internalization accelerates early migration but remains insufficient for full sector-wide coverage, whereas systemic-risk internalization can close the late-stage adoption gap under sufficiently supportive policy conditions. This distinction shows that policy support for PQC migration should not be understood only as cost reduction, but also as a mechanism for internalizing network externalities. Through nested comparisons of these model variants, this study demonstrates how each risk channel distinctly shifts migration outcomes.
Authors - Akbar Doniyorovich, Doniyor Gulomov Zaynobidin o'g'li, Dilshoda Akramova, Xushmamatova Aminakhon Rustam qizi, Tukhtaeva Shakhnoza Gaybulla kizi, Abdimurodova Shakhnoza Anvar qizi Abstract - This article discusses the theoretical foundations and рractical directions of innova tive didactic methods aimed at develoрing the comрetence of using artificial intelligence (AI) in рedagogical activities. The study analyzes the рroblem of forming teachers' digital literacy, technological readiness, and ability to integrate intellectual technologies into the educational рrocess. The article рroрoses methods aimed at increasing the innovative comрetence of teach ers based on a didactic aррroach and a steр-by-steр learning model develoрed to achieve effec tive results in the use of AI tools in education. These methods include aррroaches such as рroblem-based learning, рroject work, reflexive analysis, and collaborative learning with AI as sistants. According to the results of the study, the systematic introduction of artificial intelli gence technologies into the educational рrocess develoрs the information-analytical, methodo logical, creative, and reflexive comрetence of teachers. The use of innovative didactic methods increases the effectiveness of teacher activity, individualizes the educational рrocess, enhances analytical thinking, and a creative aррroach. The scientific results рresented in the article serve as a scientific and methodological basis for the рrocess of modernizing the рedagogical education system, imрlementing the conceрt of digital рedagogy into рractice, and рreрaring future teachers to work with artificial intelligence technologies.
Authors - Apolinar P. Datu, Jobert D. Bravo, Reine Joshua L. Cruz, Helga Marie B. Cabarle, Najera R. Umpar, Minsoware S. Bacolod Abstract - In today’s rapidly evolving Information and Communication Technology (ICT) landscape, digital tools have become essential in shaping how research is presented, shared, and collaboratively developed. This study aimed to quantitatively examine the collaborative benefits of digital tools and their impact on user engagement during research presentations. Using a quantitative descriptive–comparative research design, data were collected from thirty (30) respondents consisting of students, educators, ICT professionals, and administrative staff who regularly engage in ICT-based collaborative activities. A structured survey questionnaire was used to gather numerical data on the frequency of tool usage, levels of collaboration, and user engagement. Descriptive statistics such as frequency, percentage, and weighted mean were employed to analyze the data. The findings revealed that digital collaboration tools are frequently used in ICT-related activities and are strongly associated with improved coordination, communication, and teamwork. Respondents reported high levels of collaboration and engagement, particularly when using interactive features such as real-time communication, shared document editing, and feedback mechanisms. These features were found to enhance motivation, focus, and willingness to participate actively in research-related tasks. Overall, the study highlights the importance of intentional and effective integration of digital tools in research presentations to foster meaningful collaboration and sustained engagement in ICT-based academic and professional environments.
