A WEB SERVER APPLICATION FOR INTRUSION DETECTION UTILIZING CRONJOB SCHEDULING ALGORITHM
Abstract
Webserver application environment has become an attractive target for hackers due to high increase on deployment of web applications and adoption of cloud computing technologies. A webserver is a gateway through which the entire internet population connects to with the aim of sharing resources or providing online services. Webserver based applications are becoming the most common way to deliver and access online services, this trend also gained a higher increase especially during the covid-19 era. There is a high increase of intrusion on the cyber space since the web gained more concentration among others, the sophistication of attacks against these applications environment has grown even as technology evolves. To prevent common attacks of content corruption and data theft, integrity and privacy has become an increasing problem. While approaches to security have been improved upon in recent times, intrusion techniques have also become increasingly complex. In this research work an intrusion prevention and detection on webserver application environment using cronjob scheduling techniques has been developed. The new system adopted object oriented analysis and design methodology and was implemented using PHP7 server side scripting programming language, Laravel MVC framework and MYSQL relational database for the backend. The system has been developed, tested and was able detect and prevent intruders from gaining malicious access into the webserver application environment and also was able to send quick response message to the admin through sms messaging and emailing system. This quickly prompts the admin of the attempted intrusion and preventive measures are then taken to safeguard webserver. Hence this work will be beneficial to web developers and webserver administrators.
Fields of Study & Subjects
Web Application Security Vulnerabilities
Network Security and Intrusion Detection
Information and Cyber Security
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 January 2026