A Linux based IDPS system configured with Snort Intrusion Detection System (IDS) and Syslog Next Generation for network monitoring, intrusion detection & prevention, as well as response in the form of real time alerts. For the purpose of this project, signature-based detection will be employed for the development of the system.
Demonstrating Intrusion Detection and Prevention capabilities through Suricata IDPS.
Real-time detection and defense against malicious network activity and policy violations (exploits, port-scanners, advertising, telemetry, state surveillance, etc.)
Real-time detection and defense against malicious network activity and policy violations (exploits, port-scanners, advertising, telemetry, state surveillance, etc.)
This Python script provides a sophisticated botnet detection system that leverages signature-based detection, machine learning algorithms, behavioral analysis, and traffic profiling to identify potential botnet activity in real-time. It also includes advanced alerting capabilities and integration with IP reputation services and SIEM for DETECTION!
IDPS-ESCAPE (Intrusion Detection and Prevention Systems for Evading Supply Chain Attacks and Post-compromise Effects), part of the CyFORT project: open-source SOAR system powered by a dedicated ML-based anomaly detection toolbox (ADBox) integrated with open-source software such as Wazuh and Suricata.
wolfSSL Intrusion Detection and Prevention System (IDPS)
This project addresses cybersecurity in aviation by developing a machine learning-enhanced intrusion detection and prevention system (IDPS) for aircraft networks. Combining YARA-based signature detection with behavior-based (ML) anomaly detection, the system mitigates cyber threats in real-time, protecting aircraft from sophisticated attacks.
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