AI/Security
R-TrapShield
Deep Learning-Based Honeypot Security System for Ransomware Detection and Prevention
Key Features
1 Automated Vulnerability Checks for Ransomware Prevention
- Provides server-based protection functions such as access control, session logging, command filtering, and privilege delegation through a Manager server (Linux/Windows), proactively blocking ransomware threats.
2 Access Violation Detection and Blocking
- Detects and mitigates potential risks by checking multiple vulnerability points in Linux and Windows servers known to be exploitable by ransomware.
3 Cloud-Based Vulnerability Assessment
- Automatically assesses the security posture of virtual assets provided by cloud service providers, checking for potential configuration flaws or signs of compromise.
4 Abnormal Behavior Detection Using Deep Learning
- Analyzes ransomware behavior signatures to detect anomalous user activities, and blocks malicious actors from accessing critical server environments through network access control.

Key Benefits
1 Prevention of Server-Intrusion Ransomware Attacks
- Offers a new server security solution specifically designed to counter the rising threat of ransomware attacks targeting enterprise servers.
2 Defense Against Advanced Persistent Threats (APT)
- Applies the Cyber Kill Chain methodology to analyze each phase of the ransomware attack vector, integrating detection, blocking, and recovery mechanisms into a seamless defensive flow.
3 Intelligent Ransomware Detection with Deep Learning
- Incorporates advanced deep learning models to enhance behavioral and encryption-based anomaly detection, providing a sophisticated and proactive defense system.

