Mentor/s
Dr. Eman Abdelfattah
Participation Type
Poster
Abstract
A firewall is a type of security mostly located at the entry and exit points of a network. This is necessary to improve the security of the network and defend against cyber threats. This study aims to classify the internet traffic using different Machine Learning classification models into four categories based on 11 features. The models applied are – K-Nearest Neighbor, SGD, Decision Tree, Random Forest , XGBoost, Support Vector Machine. The XGBoost model achieved the highest accuracy, recall, precision,F1score. Decision Tree has the least time complexity.
College and Major available
Computer Science & IT MS
Location
Digital Commons & West Campus 2nd Floor University Commons
Start Day/Time
4-28-2023 12:00 PM
End Day/Time
4-28-2023 2:00 PM
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Classifying Action of Internet Firewall Using Machine Learning Models
Digital Commons & West Campus 2nd Floor University Commons
A firewall is a type of security mostly located at the entry and exit points of a network. This is necessary to improve the security of the network and defend against cyber threats. This study aims to classify the internet traffic using different Machine Learning classification models into four categories based on 11 features. The models applied are – K-Nearest Neighbor, SGD, Decision Tree, Random Forest , XGBoost, Support Vector Machine. The XGBoost model achieved the highest accuracy, recall, precision,F1score. Decision Tree has the least time complexity.
Students' Information
Geetanjali Kakda, Master's in Computer Science and Information Technology, Graduation - Dec 2023, email - kakdag@mail.sacredheart.edu.