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- Creator:
- Gandhi, Rishabh
- Description:
- Botnet has become a major threat to Internet of Things (IoT) devices due to the low security settings from manufacturers and the lack of security awareness from end users. Many ports are open by default and default user credentials are left unchanged. To solve the increasingly popular botnet attack, many detection approaches have been proposed. However, most of them are targeting on one particular approach or one botnet dataset. There is lacking a comprehensive comparison between different machine learning and deep learning approaches on this task under different datasets collected from different ways. One of the main areas of study about the botnet attack is the comparison about different datasets and how different machine learning algorithms and deep learning algorithms are able to detect the difference between traffic data. In this work, we have measured the performance of 5 machine learning and 2 deep learning-based approaches on 4 recently published IoT botnet datasets collected using real and virtual IoT devices under Mirai malware attack. Our comparison results have shown that decision tree achieved the best detection accuracy as well as the shortest training and testing time.
- Resource Type:
- Project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Finney, Melisa
- Description:
- The Covid-19 pandemic of 2020 led to a reliance on virtual instruction. The virtual model entails a daily attendance, graded learning and assessments, an emphasis on live instruction, in- person individualized instruction, service, and assessment, and family participation. For this project I created a resource page to assist all families and students for a positive experience through this new model for the Fall of 2020. I created resource videos to support parents with additional activities and provide additional aide for students who have an Individualized Educational Plan (IEP), 504, or are in intervention. These videos are located on the resource page and studio page of our learning management tool called Canvas. If a student is absent or if a student needs additional support at home, these videos are accessible to my students and their families. Lastly, the resource page will have guided links of the student’s schedule from Monday-Friday. The purpose of this was to provide students and families who are new to virtual learning and providing an easy transition into a new world of education.
- Resource Type:
- Project
- Campus Tesim:
- San Marcos
- Department:
- Education