Snort-based smart and swift intrusion detection system

• Main Authors: Olanrewaju, Rashidah Funke, Khan, Burhan Ul Islam, Najeeb, Athaur Rahman, Ku zahir, Ku Nor Afiza, Hussain, Sabahat
• Format: Article
• Language: English
• Published: Informatics (India) Limited 2018
• Subjects: QA75 Electronic computers. Computer science; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://irep.iium.edu.my/62513/2/Snort-Based%20Smart%20and%20Swift%20Intrusion%20Detection.pdf; http://irep.iium.edu.my/62513/; http://indjst.org/index.php/indjst/article/view/120917/83466
• Institution: Universiti Islam Antarabangsa Malaysia

In this paper, a smart Intrusion Detection System (IDS) has been proposed that detects network attacks in less time after monitoring incoming traffic thus maintaining better performance. Methods/Statistical Analysis: The features are extracted using back-propagation algorithm. Then, only these relev...