One of the most common methods for limiting access to material housed on the network when it is required to adhere to the requirements of security, copyright, labour laws, etc. is to filter HTTP requests to an Internet resource by its URL. This technique enables the employment of a selective approach to web-system information resources that share a single IP address. It allows for the restriction of access to a chosen object when necessary and is the most balanced in terms of the benefits and drawbacks. The organisation and flow of the filtering process can be improved by modelling. Usually, bench tests are used to evaluate network hardware. Our intention was to create a technique for reproducing this process in computer memory's virtual environment without the need for extra hardware and without include the network component in the testing procedure. In addition to conserving equipment, this method improves the ability to work out the algorithm necessary for a network device to function. By setting up a virtual digital test bench, this was accomplished. We have implemented the filtering for the information web-system using computer simulation, in which a filtering device is made using specifically developed software. It was our secondary objective. The filter unit handles server request flows coming from a group of connected users as well as server counter data. All network interfaces were modelled by software, and all network data transfers happened in the computer that was doing the simulating. By using this method, the network infrastructure's impact on the model's functionality may be completely eliminated. Two filtering procedures were examined during the modelling process: the conventional way of preliminary request analysis and the suggested post-analysis method. As a user request for a web resource travelled through the simulated filtering device during computer simulation, the average waiting time for a response from the web server decreased by up to 14% when compared to the device that operated in standard mode. By up to 54%, filter throughput increases.
K. I. Budnikov,
Institute of Automation and Electrometry of Siberian Branch of the Russian Academy of Sciences, Academician Koptyug ave. 1, 630090 Novosibirsk, Russia.
A. V. Kurochkin,
Institute of Automation and Electrometry of Siberian Branch of the Russian Academy of Sciences, Academician Koptyug ave. 1, 630090 Novosibirsk, Russia.
Please see the link here: https://stm.bookpi.org/NRAMCS-V5/article/view/7480
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