https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4689 2026-04-27T08:14:43Z 2026-04-27T08:14:43Z Thilakarathna, K. G. D. C. https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4714 2023-06-22T10:38:41Z 2023-06-22T00:00:00Z

Title: Web Based Industrial Training Management System (ITMS) for National Water Supply & Drainage Board Authors: Thilakarathna, K. G. D. C. Abstract: Providing Industrial Training for several different subjects to fulfill industrial training, is one of the core activities of the Manpower Development & Training Division in National Water Supply & Drainage Board. Approximately 500 students from NWS & DB around the country participate in many different internship & on-the-job trainings per year. Previously, industrial training-related tasks such as trainee enrollment as well as issuing agreement, assignment letters and trainee records, requesting certificates, and so on were all done manually. Completing these job tasks takes a long time and requires additional staff. Another drawback of this manual procedure has been the maintenance of several types of papers in hardcopies, which makes it challenging to search information & prepare MIS reports when needed. The main objective of this system was to provide a “Web-Based Industrial Training Management System (ITMS)” to automate the activities carried around the internship & on-the-job training process by the manpower development & training division of the NWSDB, in a more secured, accurate and efficient way. In addition to that, this new system provided an accurate, reliable, efficient and user-friendly system for users. Major activities such as registering for requesting industrial training, requesting the service of a new trainee, assigning for industrial training, keeping attendance and work records, issuing a certificate were done very easily by this web-based ITM system. All the above-mentioned manual tasks are converted to function via the system by the developed web-based system and made the whole process zero paper based. This web-based system was developed using web development tools such as the PHP framework, MySQL, & Apache web server, etc. The ITMS manages every data & information through a central server, & only authenticated users could access that data and services via the internet. Finally, the major objective of this system which is to provide a “Web-Based Industrial Training Management System (ITMS)” to automate the activities carried around the internship & on-the-job training process by the manpower development & training division of the NWSDB, in a more secured, accurate and efficient way is achieved. And apart from that, new system provided a reliable, efficient and user-friendly system for users. It should be emphasized that the major goals were achieved by the developed web-based ITMS

2023-06-22T00:00:00Z Wickramsekara, A. S. https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4707 2023-06-22T10:21:11Z 2023-06-22T00:00:00Z

Title: WiFi Blackbox - A Tamper-proof Forensic-ready Device for Wifi Networks Authors: Wickramsekara, A. S. Abstract: With the current trend of computer and communication technologies, wired computer networks are almost entirely being replaced by wireless networks. For this purpose, the IEEE 802.11 protocol, i.e., Wi-Fi, is increasingly being used. With this rapid increase in usage, Wi-Fi networks are turning into the most important target of network-based malicious activities. It has been found that most of the successful Wi-Fi-related attacks in recent history have originated from internal threat actors, which amounts to a 60% of all attacks. In order to make an impact on those kinds of internal Wi-Fi attacks, this research aims to create and deploy a forensic-ready device, called WiFi-Blackbox, for internal networks that acts as a passive control mechanism that monitors, stores, and communicates the activities in a Wi-Fi network and later detects anomalies and patterns from the gathered data and information. The WiFi-Blackbox device is mainly integrated with five main hardware components and five software modules. The main board is a Raspberry Pi 4 single-board computer, which is combined with an RTL881cu USB Wi-Fi adapter that operates in WiFi monitor mode to observe nearby Wi-Fi networks constantly. To make the device tamper-proof, various physical and technical controls have been applied, such as an reliable internal power supply to face power failures and a backup 4G modem to face network failures. The device is also equipped with a GPS sensor to detect the location of the device, which can be used to prevent theft. The enclosure open notifier is another technical security control that detects physical tampering attempts on the device by attempting to open the sealed enclosure of the device. All the hardware components are controlled by internal software modules, which were written with a mixture of Python, PHP, and Shell scripts. The Sniffing module connects with the W-FI adapter and sniffs all the data frames, stores relevant frames, and decrypts them where necessary. The Anomaly Detection module checks for anomalies in each data frame and notify the user. It uses a third-party virus database to detect viruses, Trojans, and other malware. At the same time, it detects anomalies such as denial-of-service attacks. The devices Backup and Maintenance module is responsible for keeping backups of captured frames, while the System Monitor module helps to maintain a healthy system. The Communication module is the key to securely communicate between multiple WiFi-Blackbox devices and notify about incidents to each other.. The evaluation was done in a controlled environment with known infected files. Furthermore, stress testing was done by using 10 Wi-Fi networks in the deployed environment. The results indicate that a continuous data capturing and anomaly detection takes the maximum CPU power and reaches a CPU heat of 86C. Also, the device’s data accuracy is about 99%, and the data corruption rate is less than 1%. This research indicates that internal Wi-Fi networks can be protected and WiFi-related activities can be tracked and saved for forensic purposes. At the same time, it shows the possibility of implementing a tamper-proof network monitoring platform and how to demotivate insider attackers by representing the device as a deterrent controller.

2023-06-22T00:00:00Z