A Self-monitoring System for Internal Intrusion Detection and Protection Using Data Mining and Forensic Techniques
摘要
These days, billions of people use the internet worldwide. Technology for intrusion detection may be novel. A security technology generation that keeps an eye on the system to stave against malicious activity. The IDPS tracks malicious user behavior over time using a neighborhood procedure grid. Because of the rhetorical alternatives, the system suggests a security system during this project called the Intrusion Detection and Protection System at call level, which builds user profiles to monitor usage activities. The proposed work is evaluated using intrusion detection systems and forensic techniques. The bottom paper includes a review of the literature on the Intrusion Detection System (IDS) and Internal Intrusion Detection System (IIDS). Internal Intrusion Detection System (IIDS), which employs predetermined algorithms or approaches to distinguish unauthorized user activity or attacks over a network, was designed during this research.