Projects
SIEM including IDS using ELK stack.
- Developed a SIEM system using Elastic Search, Logstash and Kibana.
- Used SLIPS which is a Machine Learning program used to monitor intrusion detection (IDS) using network logs.
- System detected a DoS and DDoS attack with 97% accuracy.
JavaScript Malware Detection System using Machine Learning.
- Based upon a IEEE paper to detect malicious javascript malware using lexical analysis.
- Developed an efficient and responsive training model to distinguish malicious files on the system.
- Created a optimized decision tree which selects the best possible model for efficiency.
A basic RPA system to find Jobs.
- Successfully implemented Robotic Process Automation to find jobs on internet.
- Understood the different concepts and tools in automation and executed it.
- Won a position in the college hackathon for the project and gained skills that were useful in future projects.