SBDM Defense System
Proactive security measures and mitigation strategies to protect the blockchain network.
Active Defense Mechanisms
Node Validation
Verifies the authenticity of nodes joining the network using proof-of-identity mechanisms.
ActiveConnection Diversity
Ensures nodes connect to a diverse set of peers to prevent isolation and Eclipse attacks.
ActiveTransaction Delays
Implements strategic delays for high-value transactions to prevent double-spending.
ActiveAI Monitoring
Uses machine learning to detect anomalous transactions and network behavior patterns.
ActiveAdaptive Difficulty
Dynamically adjusts mining difficulty in response to network hash rate changes.
AdjustingMulti-Confirmation
Requires multiple confirmations for transactions proportional to their value.
ActiveRecent Defense Actions
BlackBird 51% Attack Mitigation
2 minutes agoIncreased proof-of-work difficulty, implemented node isolation, and activated chain reinforcement in response to potential 51% hash rate control.
Impact: High | Duration: 45 minutesBBEDSA Prevention
15 minutes agoDetected shadow chain operation. Implemented transaction authentication verification and increased block confirmations to prevent double-spending.
Impact: High | Duration: 30 minutesDoC Attack Mitigation
28 minutes agoImplementing transaction filtering and rate limiting to counter network congestion attack. Mempool prioritization activated for legitimate transactions.
Impact: Medium | Duration: 20 minutesTimejacking Attack Prevention
1 hour agoDetected timestamp manipulation attempt. Implemented time source diversity and enhanced timestamp validation.
Impact: Medium | Duration: 15 minutesSybil Attack Mitigation
3 hours agoIncreased proof-of-work difficulty and activated node validation in response to multiple suspicious node join requests.
Impact: Medium | Duration: 30 minutesSecurity Metrics
Security Configuration
| Parameter | Current Value | Recommended | Status | Action |
|---|---|---|---|---|
| Proof-of-Work Difficulty | 4 | 4 | Optimal | |
| Minimum Confirmations | 3 | 6 | Below Recommended | |
| Node Connection Limit | 8 | 12 | Below Recommended | |
| Transaction Validation Delay | 5s | 5s | Optimal | |
| ML Model Refresh Rate | 24h | 12h | Below Recommended | |
| Hash Rate Monitoring Interval | 60s | 60s | Optimal |
About SBDM System
Sentinel Blockchain Defense Model (SBDM)
The SBDM system is a comprehensive security framework designed to protect blockchain networks from various attack vectors. It combines machine learning-based anomaly detection with proactive defense mechanisms to identify and mitigate security threats in real-time.
Key Components
- Anomaly Detection: Uses machine learning models to identify suspicious patterns in transaction data and network behavior.
- Adaptive Security: Dynamically adjusts security parameters based on threat levels and network conditions.
- Attack Classification: Categorizes detected threats by type and severity to guide appropriate responses.
- Automated Mitigation: Implements defense measures automatically when attacks are detected.
Defense Strategies
- Against BlackBird 51% Attacks: Dynamic difficulty adjustment, hash rate monitoring, and enhanced block validation.
- Against BBEDSA: Transaction authentication, chain analysis, and extended confirmation periods for high-value transactions.
- Against DoC Attacks: Transaction filtering, rate limiting, and mempool prioritization mechanisms.
- Against Timejacking: Time source diversity, timestamp validation, and network time protocol synchronization.
- Against Sybil Attacks: Node validation, reputation systems, and proof-of-work challenges.
- Against Eclipse Attacks: Random peer selection, connection diversity, and node activity monitoring.
- Against Finney Attacks: Transaction delays, multi-confirmation requirements, and double-spend detection.