Research Internship
- Conduct an extensive review of existing literature on malware detection in IoT devices.- Develop machine learning models tailored for detecting malware in IoT devices.- Gather datasets containing both benign and malicious IoT device activity.- Preprocess the collected datasets to ensure compatibility with the developed models.- Train the developed machine learning models using the preprocessed datasets.- Trained several machine learning algorithms and combined with feature selection and ensemble approaches and obtained results over 96%.