Apache Web Server Research Articles

Kiphynet: an online network simulation tool connecting cellular kinetics and physiological transport.

Human metabolism is sustained by functional networks that operate at diverse scales. Capturing local and global dynamics in the human body by hierarchically bridging multi-scale functional networks is a major challenge in physiological modeling. To develop an interactive, user-friendly web application that facilitates the simulation and visualization of advection-dispersion transport in three-dimensional (3D) microvascular networks, biochemical exchange, and metabolic reactions in the tissue layer surrounding the vasculature. To help modelers combine and simulate biochemical processes occurring at multiple scales, KiPhyNet deploys our discrete graph-based modeling framework that bridges functional networks existing at diverse scales. KiPhyNet is implemented in Python based on Apache web server using MATLAB as the simulator engine. KiPhyNet provides the functionality to assimilate multi-omics data from clinical and experimental studies as well as vascular data from imaging studies to investigate the role of structural changes in vascular topology on the functional response of the tissue. With the network topology, its biophysical attributes, values of initial and boundary conditions, parameterized kinetic constants, biochemical species-specific transport properties such as diffusivity as inputs, a user can use our application to simulate and view the simulation results. The results of steady-state velocity and pressure fields and dynamic concentration fields can be interactively examined. KiPhyNet provides barrier-free access to perform time-course simulation experiments by building multi-scale models of microvascular networks in physiology, using a discrete modeling framework. KiPhyNet is freely accessible at http://pallab.cds.iisc.ac.in/kiphynet/ and the documentation is available at https://deepamahm.github.io/kiphynet_docs/ .

MEMFO-KELM: A Deep Learning Approach for Real-Time Intrusion Detection in Cloud Environments

With the increasing importance of network security in cloud environments, effective intrusion detection systems (IDS) are crucial for safeguarding data transmission and protecting against cyber attacks. This research proposes a novel IDS model named Mutation Enhanced Moth-Flame Optimization based Kernel Extreme Learning Machine (MEMFO-KELM) algorithm. The objective is to address the challenges associated with cloud environments and enhance the accuracy of intrusion detection in real-time scenarios. The MEMFO-KELM algorithm incorporates advanced techniques to improve classification performance and ensure accurate detection. The deep learning model architecture includes convolutional layers for capturing complex patterns, recurrent layers for modelling temporal dependencies, and fully connected layers for feature extraction. L1 regularization (Lasso) is applied to the fully connected layers to enhance interpretability and reduce model complexity. Here, four datasets are represented to validate the performance with different attacks and normal classes are implemented: MQTT-IoT-IDS2020, CSE-CIC-IDS2018, NSL-KDD, and Apache Web Server. The proposed IDS model achieves remarkable performance, with an accuracy of 98.4%, a false alarm rate of 0.056, a detection rate of 98%, and a computational time of 120 s. These results highlight the effectiveness of the MEMFO-KELM algorithm in accurately detecting intrusions. Comparative analysis reveals that the proposed real-time IDS model demonstrates its superiority compared to other methods. By addressing the challenges of cloud environments and incorporating advanced techniques, the MEMFO-KELM IDS model contributes to enhanced network security, mitigates the risks associated with cyber attacks, and ensures the integrity of globally distributed resources.

Design and Implementation of Computerized Restaurant Table Booking System

The dining landscape has transformed significantly with technological advancements, fundamentally altering how restaurants handle customer reservations. Traditionally, reservations were managed via phone calls or in-person visits, leading to issues like lengthy wait times, uncertain table availability, and limited communication channels. To address these challenges, this paper concentrates on crafting and implementing a Restaurant Table Booking System, aimed at streamlining reservations and enhancing customer experiences. Employing an agile software development methodology ensures flexibility, encourages customer input, and facilitates swift value delivery. Frontend development utilizes HTML, CSS, and Bootstrap for an intuitive user interface, while PHP and MySQL handle backend logic and database operations. Implementation emphasizes reliability and security through the Apache web server.

Pengumpulan Informasi pada Situs Web Dengan Menyusun Kerangka Kerja Keamanan Siber NIST

In the current era, the rapid development of websites has made them one of the most significant modern information media. Website creation is not only focused on the design and information presented, but also focuses on security aspects. The presence of security on a website is very important, considering the need to protect the data and information contained therein. Information Gathering is one method used to test a website's security. This information gathering is the earliest stage to obtain ownership and other sensitive information. This research aims to conduct security testing of the oase.poltektegal.ac.id website using tools in the form of penetration testing software; then, the testing results are entered into the cybersecurity framework issued by N.I.S.T. The test results obtained and adjusted to N.I.S.T. Cybersecurity are that the oase.poltektegal.ac.id website has vulnerabilities in the form of CVE-2003-1418 (apache webserver vulnerability), CVE-2005-3299 (PHP vulnerability), CVE-2010-4344 ( Buffer Overflow Vulnerability), CVE-2007-6750 (XSS). The solution to this vulnerability is updating the software and closing unused ports. These results will be used as a benchmark in creating or improving similar websites to increase awareness and vigilance in achieving cyber resilience

Application of Forward Chaining and Rule-Based Reasoning Methods to Design an Expert System for Pregnant Women Disease Diagnosis in a Private Hospital

This research aims to discover how to create and implement an expert system for prenatal disease diagnosis. To prepare this study, the author employed several data collection techniques, including observation, interviews, and a literature review. The system to be designed was developed using an object-oriented paradigm and a Rapid Application Development (RAD) technique. Multiple development stages are involved in creating RAD, including requirement planning, workshop design, and implementation. Based on the study findings, it was discovered that the PHP programming language, MySQL database management system, Apache web server, UML tool, and RAD system development methodology were used to create an expert system for identifying illnesses in expectant mothers. The forward chaining method is used for this expert system, where the first stages are to create an inference tree and set rules. This system likewise computes the consistency test using the Bayes theorem method. With an 80% accuracy rate, SISPADIBU can be used as a diagnostic tool for disorders related to pregnancy. SISPADIBU can use the user-entered symptoms to present the diagnosis results. According to the survey results, 80% of users said that SISPADIBU was highly user-friendly, that the layout display was simple to use, and that it was constructive in educating users about pregnancy disorders.

PENGEMBANGAN SISTEM INFORMASI PENJUALAN BUKU BUCERDAS

A good information system will really support every activity, especially in cyberspace. Books that previously could only be ordered or purchased in bookstores can now be done in cyberspace (the internet), on the internet. Customers can search for books in the book catalog based on book categories, and can search in the menu bar. The book ordering system here describes the activity of ordering books on the internet network which provides easy facilities for book consumers in searching for information about the book they are looking for. This project aims to design and create a book ordering information system that makes it easy to order books on the website and also easy to view the required book information. The benefit of this system is that it makes it easier for book consumers to no longer have to bother looking for the books they need by traveling long distances to buy books. The system creation method includes system analysis in the form of a FlowChart, system design in the form of a Context Diagram, DFD, ERD. The results of the system are applied in the form of web design using the PHP programming language and database management using MySQl with the Apache web server.

Apache web server security with security hardening

With the internet network, we can quickly get information very quickly. The information we get is not changed by people not authorized to access the system or platform. Apache is a web server often used to connect users with websites where the information is located. The more users there are, the more crimes there will be when attacking the web server by irresponsible people. Due to limited time for web administrators, to improve the security of the Apache web server, an intrusion detection system is needed that can help monitor network traffic and detect the type of attack that is occurring and then forward the notification to the mobile application in real-time, because attacks can occur at any time. Intrusion Detection is one implementation of the security hardening method for the software hardening category. The results of this research will be that the system will detect intrusion attempts based on the rules created, and users will receive notifications to the Telegram application and can see details of incoming reports such as the attacker's I.P. address, description of the intrusion, name of the security hole, time of intrusion, and payload used.

Prototyping of e-fisherman web server to support Indonesian fishermen’s activities

<p>This paper presents a webserver for Indonesian fishermen, to support fishing activities. This is one of the sub-systems of e-Nelayan (in English: eFisherman) architecture, which was connected to e-Nelayan Apps; it helps to provide interaction between two users, including the administrators and fishermen. Using hypertext preprocessor (PHP) language, the website was developed to function on an Apache web server, with the adaptation of my structured query language (MySQL) framework for the database. This system was subsequently divided into two parts: (1) the front-end, which is responsible for the accessibility of data collection and (2) the back-end, where administrators update or modify crucial information: price, fishing result, illegal activity report, save our ship! (SOS) potential fish zone, and ship tracking. The administrators are unable to update the real-time weather information for the front-end part. The application was found to record the information obtained from the fishermen through the e-Nelayan apps and meteorology, climatology, and geophysical agency (BMKG in Indonesian). This web system is expected to carry out the following functions: to ensure easier interactions between fishermen and administrators, to enable easy update of information, to promote monitoring and recording of results, and to ensure fishermen’s safety.</p>

SISTEM INFORMASI MANAJEMEN KELUHAN PELANGGAN BERBASIS WEB (PT. Semen Baturaja Tbk Palembang)

Customer complaints service is one of the spearheads of increasing customer satisfaction. The intended customer is the employee of the company itself. Coordinated and complete customer complaint handling can provide a positive image of the company / organization. Complete and effective services need to be supported by a coordinated system and cover an entire service cycle that begins with making a complaint, receiving a complaint, updating the complaint status or recapitulation of incoming complaints as a reference for management to assess which domains the customer complains about. This customer complaints management information system is designed to help PT. Semen Baturaja Tbk Palembang to manage and monitor customer complaints. This system focuses on the delivery of complaints from customers based on the type of complaint submitted. Incoming complaints are recorded and then delegated to related parties, as well as monitored the settlement status of the complaint. In this system can also manage customer registrants and company employees to be able to submit complaints and any process in changing the status of complaints or employee data and customer data stored in the report. This system can help management to improve the quality of service, so as to increase customer satisfaction. The method of making the system include system analysis in the form of Flow Chart, system design in the form of Context Diagram, DFD, Use Case Diagram and Activity Diagram The result of the system is applied into web design using PHP programming language and database management using MySQl with Apache web server.

PERANCANGAN SISTEM INFORMASI POINT OF SALES (POS) BERBASIS WEB (STUDI KASUS : MINIMARKET SMJ PAAL 11)

Minimarket SMJ Paal 11, which is one of the retail business players, has a desire to utilize web technology to improve operational efficiency, especially in recording stocks and transactions. Currently, Minimarket SMJ Paal 11 still uses manual recording for stocks and transactions. Given the growing and increasing number of customers, there is a need for an information system that can support the recording of stocks and transactions efficiently. This is expected to increase efficiency and provide satisfaction to customers, because the entire transaction process can be completed more quickly. This study aims to design a web-based Point Of Sales (POS) Information System with the hope of optimizing the process of recording stock and transactions at SMJ Paal 11Minimarket. The method used in this design is the waterfall method with PHP programming language, Apache webserver, and MySQL database as a database for storing data. This information system is run locallyhosted and can be accessed by several devices in one network, ensuring ease of access and use. With the presence of web technology in this system, it is expected that SMJ Paal 11Minimarket can keep up with industry developments, improve recording accuracy, and provide more responsive services to customers.

Employee Presence System Using Nodemcu For Fingerprint And Face Id Internet Of Things (Iot)

This research aims to design and implement an Internet of Things (IoT) based attendance system. The designed system integrates two types of attendance systems, face recognition-based attendance system (FRA) and fingerprint-based attendance system (FPA), with a server. FRA uses Python programming language and Openc CV library, while FPA is developed using ESP8266 MCU Node and AS608 Fingerprint scanner with Adafruit Fingerprint library. FRA and FPA are connected to a web server with a database engine via an internet connection and send attendance data using the HTTP_POST method. The server development uses Apache Webserver, PHP programming language, and MySQL database engine. The server has two primary purposes: to record attendance data sent by FPA and FRA and to generate attendance reports based on user requests. System testing is done on a local network. The results show that the subsystems and integrated systems work well.

About the applicability of Apache2 web server memory forensics

With the increasing use of the Internet for criminal activities, web servers have become more and more important during forensic investigations. In many cases, web servers are used to host leaked data, as a management interface for Command and Control servers, or as a platform for illicit content. As a result, extracting information from web servers has become a critical aspect of digital forensics. By default, a lot of information can already be extracted by performing traditional storage forensics including the analysis of logs. However this approach quickly reaches its limits as soon as anti-forensic techniques such as the deletion of configuration files or the deactivation of logging capabilities are implemented. This paper evaluates the feasibility of memory forensics as a complement to traditional storage forensics for cases involving web servers. For this purpose, we present a methodology for extracting forensically relevant artefacts from the memory of Apache web servers, which are among the most commonly used on the Internet. Through various experiments, we evaluate the applicability of our approach in different scenarios. In the process, we also take a closer look at the overall existence of digital traces, which cannot easily be found by following a structured approach. Our findings demonstrate that certain Apache web server structures contain important information that can be retrieved from memory even after the originating event has passed. Additionally, traces such as IP addresses were still found in memory even after complete structures were already overwritten by further interaction. These results highlight the benefits and the potential of memory analysis for web servers in digital investigations.

Enhancing Permit Status Checking for the Integrated Public Service Information and Reporting System Application

The district government of Sanggau already has a public service mall (MPP), which is used by all agencies as a place of service. SIPADU (Integrated Public Service Information and Reporting System) is the name of this application, which has various features to meet the needs of MPPs (Public Service Mall). Currently, users of the SIPADU application find it difficult to check the status of permissions. Users must first complete the authentication procedure in order to obtain the desired permission status. This research was conducted to implement a solution to make it easier for users to check the status of the submitted licensing by building a web-based system that will search for the data without requiring login authentication. The analytical methods used include Literature Study and Interview. The design method used is the waterfall method with 6 stages of the process, namely Planning, Analysis, Design, Implementation, Testing, and Verification. The result of this system is a website that can check the status of the permit being submitted. The results of the User Interface evaluation are following the provisions of the Eight Golden Rules method and the results of the evaluation of system testing using the BlackBox testing method with the results showing 100% no errors occur so that it is very suitable for use by users. This study applies the Web Scraping method using PHP scripts and using the Apache Web Server to obtain all licensing data using authentication data provided by PT Media Visual Group so that all users of the SIPADU application can track licensing.

SDN/NFV-based framework for autonomous defense against slow-rate DDoS attacks by using reinforcement learning

The unforeseen and skyrocketed shift in the number of connections to the Internet during the last years has created vast and critical vulnerabilities in networks that cybercriminals have quickly seized to launch high-volume DDoS attacks. Existing tools, such as advanced firewalls or intrusion prevention systems (IPS), cannot handle such an elevated volume of attacks because these solutions are dependent on humans. Therefore, adaptation of the current network security solutions to automated ones is more significant than ever to foster the development of the zero-touch networks and service management (ZSM) paradigm. Building on our preliminary work in this field, in this study, we provide a software-defined networking (SDN)-based framework that automates the detection and mitigation of slow-rate DDoS attacks. The framework uses deep learning (DL) to detect attacks and reinforcement learning (RL) to mitigate them. Furthermore, a network function virtualization (NFV)-assisted moving target defense (MTD) mechanism is included to amplify the effectiveness and flexibility of the solution. The framework is tested on a simulated network using open-source tools, namely Open Network Operating System (ONOS), Containernet, Apache Web Server, and Docker. The source code of a prototype of the framework is shared, which can be used and improved by interested researchers. Finally, the experimental results demonstrate that RL agents learn optimal DDoS mitigation policies in different scenarios and that they quickly adapt to new conditions that vary in short periods of time.

Bread Sales Information System at Satria Bread Shop

In the current era of globalization, technological developments are progressing very rapidly so that with the advancement of this technology it can facilitate humans in various activities. In this research, a Web-Based Bread Sales Information System will be built at the Satria Roti Shop, Sidoarjo, which currently still uses the manual way of transacting with customers, so that customer service is still not optimal and efficient.The method used in this study is the waterfall method and software as follows: Visual code as an editor, React programming language, Javascript framework, Apache web server and MySQL as the database.This research will produce a Web-Based Bread Sales Information System at the Satria Roti Shop, Sidoarjo, which has an appropriate interface and can facilitate the process of selling bread transactions efficiently and practically.

Data Collection Information System for Prospective Citizens and Citizens (Trainers) at PSHT Pekanbaru Branch Using the Laravel Framework

The Data Collection System for Prospective Citizens and Residents (Trainers) in the Setia Hati Brotherhood in the Pekanbaru Branch still uses a manual system. Where paper becomes a means in data collection and data information sources. The rapid development of technology in the current era of globalization that can facilitate all respects, including data collection of information that can make data collection more effective and efficient. PSHT Pekanbaru Branch corrects the problem in this data collection to make data collection faster because the system has not been computerized. The data collection in the PSHT Pekanbaru Branch requires a new system so that the system can be improved. As for the system carried out by the writer who discusses structured development systems using the waterfall method, as well as analysis and design tools using the Unified Modeling Language (UML). As for the implementation, some software is published using the framework framework , the code editor uses Atom, the PHP package uses XAMPP version 3.2.4 (PHP 7.3.9, Apache web server 2.4.7 and MySQL database version 5.0.12) and which the last web browser using Google Chrome

APACHE WEB SERVER RESPONSE TIME OPTIMIZATION

This article explores approaches to online optimization of the Apache web server, focusing on the MaxClients parameter (which controls the maximum number of workers). Using both empirical and analytical methods, we show that MaxClients has a concave-upward effect on response time, and hence hill-climbing techniques can be used to determine the optimal value of MaxClients. We investigate two optimizers that use hill climbing—one based on Newton’s method and one based on fuzzy control. A third technique is a heuristic that exploits the relationship between bottleneck utilization and response time minimization. In all cases, online optimization reduces the response time by a factor of 10 or more compared to the static default value. The trade-offs between online schemes are as follows. Newton’s method is well known but does not provide consistent results for highly variable data such as response times. Fuzzy control is more reliable but converges slowly. The heuristic works well in our prototype system, but it can be difficult to generalize because it requires knowledge of resource bottlenecks and the ability to measure their use. This topic is relevant in the context of a rapidly growing number of web applications and high requirements for the performance and efficiency of web servers. This topic explores how to improve the speed and response time of the Apache web server using various techniques and settings, such as optimizing server settings, using caching, data compression, optimizing request routing, and more. The purpose of this research is to improve the performance and response speed of the Apache web server, which can be useful for developers and administrators of web applications and services. The speed and response time of web servers are critical factors in meeting user needs and achieving business goals for web applications and services. Apache is one of the most widely used web servers in the world, so optimizing the response time of the Apache server is an important task for many developers and administrators of web applications and services. This study will examine various approaches and techniques for optimizing the response time of the Apache web server, including configuring server parameters, using caching, data compression, optimizing request routing, and others. The results of the study can be useful for developers and administrators of web applications and services that deal with the use of the Apache web server. Optimizing Apache server response time can significantly improve the performance and efficiency of web applications and services, which in turn can lead to user satisfaction and business goals.

머신러닝 기반 클라우드 웹 애플리케이션HTTP DoS 공격 탐지

Recently, the number of cloud web applications is increasing owing to the accelerated migration of enterprises and public sector information systems to the cloud. Traditional network attacks on cloud web applications are characterized by Denial of Service (DoS) attacks, which consume network resources with a large number of packets. However, HTTP DoS attacks, which consume application resources, are also increasing recently; as such, developing security technologies to prevent them is necessary. In particular, since low-bandwidth HTTP DoS attacks do not consume network resources, they are difficult to identify using traditional security solutions that monitor network metrics. In this paper, we propose a new detection model for detecting HTTP DoS attacks on cloud web applications by collecting the application metrics of web servers and learning them using machine learning. We collected 18 types of application metrics from an Apache web server and used five machine learning and two deep learning models to train the collected data. Further, we confirmed the superiority of the application metrics-based machine learning model by collecting and training 6 additional network metrics and comparing their performance with the proposed models. Among HTTP DoS attacks, we injected the RUDY and HULK attacks, which are low- and high-bandwidth attacks, respectively. As a result of detecting these two attacks using the proposed model, we found out that the F1 scores of the application metrics-based machine learning model were about 0.3 and 0.1 higher than that of the network metrics-based model, respectively.

PENGEMBANGAN SISTEM POINT OF SALE KE PEMROGRAMAN WEB MENGGUNAKAN FRAMEWORK CODEIGNITER

The Point Of Sale (POS) business management system is an application program that can facilitate all trading processes, but this system can only be installed on low-spec computers with a fairly complicated installation process. Based on these problems, the authors try to find solutions on how to develop POS application programs into web programming so that they can be installed on all mainstream operating system products. The POS system developed is a management system that can manage several important functions in web-based business management using the PHP programming language with the Code Igniter 3 Framework, Apache web server and MySQL database. The research methodology used is an action research method with data collection techniques through interviews. The waterfall development model is designed using the UML design method, and tested using black box testing techniques. Through this development process, desktop-based POS application programs have been successfully developed into web programming and can be installed on mainstream operating system products such as Windows, Linux and Macintosh.

MRPO-Deep maxout: Manta ray political optimization based Deep maxout network for big data intrusion detection using spark architecture

An intrusion detection system (IDS) is used to examine as well as analyze data for detecting intrusions in a network or system. This paper proposes an efficient intrusion detection method, named Manta Ray Political Optimization (MRPO)-based Deep maxout network. Here, the training procedure of the Deep maxout network is achieved by the proposed MRPO algorithm that is derived by integrating Manta Ray Foraging Optimization (MRFO) and Political Optimizer (PO). Initially, different subsets of data are formed by partitioning the input data and each data subset is processed by slave nodes to pre-process the data. The wrapper-based model and fisher score are used to select features such that the fusion of these features is based on Hellinger distance. With selected features, the dimensionality of data is increased using the data augmentation and based on data augmented output, and Deep maxout network is applied to detect normal and abnormal behavior. The proposed method attains maximum testing accuracy, True Positive Rate (TPR), and True Negative Rate (TNR) of 0.939, 0.943, and 0.910 by the Apache webserver dataset. When the training data is 90, the accuracy of the proposed method is 9.15%, 6.38%, 5.75%, 2.66%, 2.12%, 1.49%, 074%, 1.70%, and 4.79% higher when compared to the existing approaches namely, Hybrid deep learning, RCCRO-FCM, HHO-based DBN, CGO+ensemble SVM, Deep maxout network, PO-based Deep maxout network, MRFO- based Deep maxout network, STL-HDL, and ExpSLO enabled DRN.