This paper examines modular security architecture design for dynamically extensible web applications using Python and OAuth2. The objective is to establish a conceptual foundation for extensible authentication and authorization modules ensuring consistent access control under evolving requirements and multi-tenant environments. The methodology combines architectural analysis, STRIDE threat modeling, and layered security decomposition. A five-layer reference architecture — identity management, token validation, policy-driven authorization, tenant isolation, and audit — is proposed. The scientific novelty lies in aligning modularity with OAuth2 flows through centralized policy governance. Qualitative evaluation confirms improvements in security component reusability and system observability.
| Mualliflar | Dadaboyev, Alisher, Zulunov, Ravshanbek |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-05-30 |
| Son | 2 |
| Betlar | 206-211 |
| Til | Rus |
dinamik web-ilova, modulli xavfsizlik, OAuth2, Python, avtorizatsiya, ABAC, mikroxizmatlar, modular security, dynamically scalable web application, OAuth2, token-based authorization, Python, microservices, policy management, ABAC, STRIDE.
Ushbu ishning asosiy maqsadi neftni qayta ishlash zavodidagi gaz fraksiyalash bo'limida propan-butan fraksiyasi (C₃) ajratish jarayoni uchun parametrlarning noaniqligi, tashqi buzilishlar va cheklangan o'lchov…
This study is devoted to the development of a symmetric binary fractal tree model based on fractal geometry and the analysis of its application in furniture design. The main goal of the study is to form a parametrically…
Paper addresses the problems of histological image segmentation and morphometric feature extraction. Manual analysis of histological images is time-consuming and prone to subjective errors, making automation highly…
Predicting hydrological dynamics in semi-arid regions is challenging due to climate instability. This study proposes a hybrid modeling framework integrating Seasonal-Trend decomposition (STL), SARIMA, and Long…
This paper describes a hybrid quantum-classical system for solving the Capacity-Constrained Vehicle Routing Problem (CVRP) using a real-world distribution network in Samarkand, Uzbekistan.The problem is formulated as a…
This paper investigates the effectiveness of transformer-based models (mBERT, BERTbek, XLM-R, ALBERT, ELECTRA) in analyzing Telegram social media text data. The study represents text data as contextual embeddings and…
Dimensionality reduction is one of the important problems in machine learning and intellectual data analysis, especially when objects are described by mixed-type features measured in different scales. Methodology for…
Effective control of hydraulic processes in water management facilities, including irrigation canals, pumping stations, and reservoirs, is increasingly important under water scarcity and climate change. Traditional…
Recent studies in cognitive neurobiology have shown that biological neurons interact with each other through multiple neurotransmitter channels: a single neuron simultaneously secretes different neurotransmitters, each…
This article presents the results of a study on applying the particle swarm optimization algorithm to extract informative features from a training dataset. An informative feature extraction model was developed based on…