Security Datasets

Performance Report Metrics Summary Raw Data
Overall Accuracy
94.8%
+2.3%
Across all datasets
Processing Speed
1.2ms
Optimal
Average response time
Energy Efficiency
85%
Efficient
Resource utilization
Active Datasets
5/8
In Use
Currently processing
Synthetic Quantum Threat Generation

Synthetic data generation metrics showing quality and diversity scores. Generated 50,000 high-quality samples with 95% validation accuracy.

Generation Parameters
Circuit Depth
Current: 15 Range: 5-20
Entanglement Patterns
Type: Star Qubits: 8
Noise Models
Type: Depolarizing Rate: 0.001
UK Cybersecurity Incidents Database
Incident Severity Region Status Actions
Quantum Side-Channel Attack
Financial Services Sector
High London Contained
MITRE ATT&CK Framework

MITRE ATT&CK coverage analysis showing defense capabilities. 92% coverage achieved across all major attack vectors.

Framework Coverage
Initial Access
Execution
Persistence
Quantum Dataset Repository
Dataset Version Quality Score Usage Actions
IBM Quantum Challenge
Quantum threat patterns
v2.1.0
95%
2.4K downloads
Dataset Source Description Status Actions
NSL-KDD
Network intrusion detection
National Cyber Security Centre (NCSC) An improved version of KDD Cup 1999 dataset for network intrusion detection research Active
CIC-IDS2017
Contemporary attack scenarios
London School of Cybersecurity Comprehensive dataset containing benign and malicious traffic for IDS testing Active
UK-2025-0324
Quantum side-channel attack
Advanced Persistent Threat Critical London Under Investigation
UK-2025-0323
Quantum key interception attempt
Key Distribution Attack High Manchester Resolved
UK-2025-0322
Post-quantum algorithm stress test
Algorithm Testing Medium Edinburgh Scheduled
UK-2025-0321
Quantum-safe protocol validation
Protocol Validation Low Bristol Completed
Dataset Source Description Status Actions
MalwareTextDB
Malware text analysis
GitHub Repository A database of annotated malware-related texts for threat intelligence Active
MalNet
Visual malware analysis
MalNet Project A large-scale image database of malicious software for visual analysis Active
Dataset Source Description Status Actions
PicoDomain
High-fidelity security data
PicoDomain Project A compact high-fidelity cybersecurity dataset for rapid validation Active
IBM Quantum Challenge
Quantum security datasets
IBM Quantum Quantum-specific datasets for cybersecurity research and testing Processing
MITRE ATT&CK
Quantum-adapted framework
MITRE Framework adapted for quantum adversarial tactics and techniques Updated
Performance Metrics
Precision
93.5%
Recall
91.2%
F1-Score
92.3%
Dataset Distribution

Distribution of data across different security domains. NSL-KDD leads with 125,000 samples (35%), followed by CIC-IDS2017 with 250,000 samples (45%). Overall data volume increased by 28% from previous quarter.

Performance Comparison

Comparison of model performance metrics over time. Significant improvement in both accuracy and F1-score, with current performance at 98.64% accuracy and 90% F1-score.

Processing Time Analysis

Analysis of data processing times across different quantum circuits. Average processing time reduced by 25% through optimization.

Error Rate Trends

Error rate trends showing steady improvement in model accuracy. False positive rate decreased from 12% to 3% over the past quarter.

Model Performance Analysis
Download Report Export Data
Dataset Model Accuracy Precision Recall F1-Score Training Time (s) Notes
NSL-KDD Random Forest
74.87%
75.00% 74.50% 74.74% 120 Effective for intrusion detection
NSL-KDD XGBoost
71.43%
72.00% 71.00% 71.49% 180 Higher training time
Model Accuracy Comparison
Training Time Analysis