No abstract

Internet education has a long history, and it has been used to learn everything. Since the advent of computers, digital learning has increased in popularity. Interest in online learning for education has also increased, with both teachers and students looking for online activities to supplement existing education. The  “Development and Assessment of Static Website for Digital Media Production” is designed for faster, easier and paperless process of teaching students. This study is to promote an exciting approach to SP-ICT students, that ICT Subjects can be fun and interesting, by using an exciting approach that they are all familiar with, “the Internet”, by creating a website containing downloadable digital modules and assessment that are still related to the subjects learning competencies. This study used developmental research and descriptive research as the study conducted gathering of data in order to design and develop system or application and be evaluated by the respondents. Utilization of the developed website for digital media production is found Functional, Reliable, Usable, Efficient, Maintainable and Portable to the IT Professional respondents. In this time of pandemic, majority of the students prefer using cellphones for distance learning. Utilizing the website will be beneficial to them since it is found Portable, which means the website is accessible anywhere where an internet source is available using different gadgets with browser installed. Schools with SP-ICT in other Congressional District of DepED Nueva Ecija may utilize the website by making the admin multi-user with the permission of the researcher. Also, it was found that the application is Effective, Efficient, Satisfactory, Free from Risk and has sufficient Context Coverage.

No abstract

Finding things that are significantly different from, incomparable with, and inconsistent with the majority of data in many domains is the focus of the important research problem of anomaly detection. A noteworthy research problem has recently been illuminated by the explosion of data that has been gathered. This offers brand-new opportunities as well as difficulties for anomaly detection research. The analysis and monitoring of data connected to network traffic, weblogs, medical domains, financial transactions, transportation domains, and many more are just a few of the areas in which anomaly detection is useful. An important part of assessing the effectiveness of mobile ad hoc networks (MANET) is anomaly detection. Due to difficulties in the associated protocols, MANET has become a popular study topic in recent years. No matter where they are geographically located, users can connect to a dynamic infrastructure using MANETs. Small, powerful, and affordable devices enable MANETs to self-organize and expand quickly. By an outlier detection approach, the proposed work provides cryptographic property and availability for an RFID-WSN integrated network with node counts ranging from 500 to 5000. The detection ratio and anomaly scores are used to measure the system's resistance to outliers. The suggested method uses anomaly scores to identify outliers and provide defence against DoS attacks. The suggested method uses anomaly scores to identify outliers and provide protection from DoS attacks. The proposed method has been shown to detect intruders in a matter of milliseconds without interfering with authorised users' privileges. Throughput is improved by at least 6.8% using the suggested protocol, while Packet Delivery Ratio (PDR) is improved by at least 9.2% and by as much as 21.5%.