Upload dataset - Session upload_1758558909

.gitattributes

@@ -57,3 +57,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+train.csv filter=lfs diff=lfs merge=lfs -text
+train.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,318 @@
+---
+language:
+- en
+task_categories:
+- tabular-classification
+- other
+task_ids:
+- tabular-multi-class-classification
+- multi-class-classification
+pretty_name: Honeypot Cybersecurity Dataset
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+license: bsd-3-clause
+tags:
+- cybersecurity
+- honeypot
+- threat-detection
+- network-security
+- intrusion-detection
+- tabular
+- security
+- anomaly-detection
+- classification
+multilinguality:
+- monolingual
+annotations_creators:
+- machine-generated
+paperswithcode_id: null
+dataset_info:
+  features:
+  - name: payload
+    dtype: string
+  - name: dest_ip
+    dtype: string
+  - name: metadata
+    dtype: string
+  - name: src_ip
+    dtype: string
+  - name: "@timestamp"
+    dtype: string
+  - name: honeypot_hostname
+    dtype: string
+  - name: dest_port
+    dtype: int64
+  - name: in_iface
+    dtype: string
+  - name: pkt_src
+    dtype: string
+  - name: geoip_ext
+    dtype: string
+  - name: proto
+    dtype: string
+  - name: honeypot_ip_int
+    dtype: string
+  - name: event_type
+    dtype: string
+  - name: alert
+    dtype: string
+  - name: direction
+    dtype: string
+  - name: geoip
+    dtype: string
+  - name: host
+    dtype: string
+  - name: type
+    dtype: string
+  - name: payload_printable
+    dtype: string
+  - name: "@version"
+    dtype: string
+  - name: flow
+    dtype: string
+  - name: src_port
+    dtype: string
+  - name: honeypot_ip_ext
+    dtype: string
+  - name: stream
+    dtype: string
+  - name: flow_id
+    dtype: string
+  - name: timestamp
+    dtype: string
+  - name: mitre_techniques
+    dtype: string
+  - name: attack_vectors
+    dtype: string
+  - name: mitre_tactic
+    dtype: string
+  - name: mitre_technique
+    dtype: string
+  - name: confidence_score
+    dtype: string
+  - name: is_malicious
+    dtype: bool
+  - name: severity
+    dtype: string
+  - name: primary_label
+    dtype: string
+  - name: subject
+    dtype: string
+  - name: os
+    dtype: string
+  - name: dist
+    dtype: string
+  - name: mod
+    dtype: string
+  - name: params
+    dtype: string
+  - name: raw_sig
+    dtype: string
+  - name: rdp
+    dtype: string
+  - name: tags
+    dtype: string
+  - name: app_proto
+    dtype: string
+  - name: tx_guessed
+    dtype: string
+  - name: tx_id
+    dtype: string
+  - name: fatt_ssh
+    dtype: string
+  - name: protocol
+    dtype: string
+  - name: link
+    dtype: string
+  - name: raw_mtu
+    dtype: string
+  - name: ssh
+    dtype: string
+  - name: app_proto_tc
+    dtype: string
+  - name: tcp
+    dtype: string
+  - name: uptime
+    dtype: string
+  - name: raw_freq
+    dtype: string
+  - name: ip_rep
+    dtype: string
+  - name: anomaly
+    dtype: string
+  - name: lang
+    dtype: string
+  - name: app
+    dtype: string
+  - name: http
+    dtype: string
+  - name: fatt_rdp
+    dtype: string
+  - name: tls
+    dtype: string
+  - name: fileinfo
+    dtype: string
+  - name: reason
+    dtype: string
+  - name: raw_hits
+    dtype: string
+  - name: fatt_tls
+    dtype: string
+  - name: smtp
+    dtype: string
+  - name: smb
+    dtype: string
+  - name: files
+    dtype: string
+  - name: ftp
+    dtype: string
+  - name: fatt_http
+    dtype: string
+  - name: icmp_type
+    dtype: string
+  - name: icmp_code
+    dtype: string
+  - name: mqtt
+    dtype: string
+  - name: pgsql
+    dtype: string
+  - name: dcerpc
+    dtype: string
+  - name: app_proto_ts
+    dtype: string
+  - name: commands
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 145729370
+    num_examples: 29545
+  download_size: 145729370
+  dataset_size: 145729370
+config_name: default
+---
+
+# network-intrusion-detection
+
+## Dataset Description
+
+This dataset contains cybersecurity events collected from honeypot infrastructure. 
+
+The data has been processed and feature-engineered for machine learning applications in threat detection and security analytics.
+
+## Feature Categories
+
+### Network Features
+- Connection flow statistics (bytes, packets, duration)
+- Protocol-specific metrics
+- Geographic information
+- IP reputation data
+
+### Behavioral Features
+- Session patterns and command sequences
+- User-agent analysis
+- Attack pattern identification
+- Protocol fingerprinting
+
+### Temporal Features
+- Time-based aggregations
+- Frequency analysis
+- Campaign detection indicators
+- Attack timing patterns
+
+### Security Labels
+- MITRE ATT&CK technique mappings
+- Alert severity classifications
+- Automatic threat categorization
+- Binary maliciousness indicators
+
+## Usage Example
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("pyToshka/network-intrusion-detection")
+train_data = dataset["train"]
+
+# Basic exploration
+print("Dataset features:", list(train_data.features.keys()))
+print("Total samples:", len(train_data))
+
+from collections import Counter
+
+# Example: Filter RDP attacks
+rdp_events = train_data.filter(lambda x: x['app_proto'] == 'rdp')
+print("RDP events:", len(rdp_events))
+
+# Example: Analyze attack vectors
+if len(rdp_events) > 0:
+    attack_vectors = Counter([event['attack_vectors'] for event in rdp_events if event['attack_vectors']])
+    print("RDP Attack vectors:")
+    for vector, count in attack_vectors.most_common():
+        print(f"  {vector}: {count}")
+
+# Example: Analyze protocol distribution
+protocols = Counter([event['app_proto'] for event in train_data if event['app_proto']])
+print("Protocol distribution:")
+for proto, count in protocols.most_common():
+    print(f"  {proto if proto else '(empty)'}: {count}")
+
+# Example: Malicious events analysis
+malicious_count = sum(1 for event in train_data if event['is_malicious'])
+print(f"Malicious events: {malicious_count}/{len(train_data)} ({malicious_count/len(train_data)*100:.1f}%)")
+```
+
+## Data Fields
+
+The dataset contains 77 features across several categories:
+
+### Network Features
+- `dest_ip`: Network-related information
+- `src_ip`: Network-related information
+- `dest_port`: Network-related information
+- `geoip_ext`: Network-related information
+- `honeypot_ip_int`: Network-related information
+- ... and 7 more network features
+
+### Behavioral Features
+- `commands`: Behavioral analysis data
+
+### Temporal Features
+- `@timestamp`: Time-based information
+- `timestamp`: Time-based information
+- `uptime`: Time-based information
+
+### Security Features
+- `alert`: Security and threat intelligence
+- `mitre_techniques`: Security and threat intelligence
+- `attack_vectors`: Security and threat intelligence
+- `mitre_tactic`: Security and threat intelligence
+- `mitre_technique`: Security and threat intelligence
+- ... and 1 more security features
+
+## Data Splits
+
+| Split | Examples |
+|-------|----------|
+| train | 29,545 |
+
+## Dataset Statistics
+
+- **Total size**: ~139.0 MB
+- **Average record size**: ~4932 bytes
+- **Feature completeness**: 100.0%
+
+## Ethical Considerations
+
+This dataset contains real honeypot data representing actual attack attempts. Users should:
+
+- **Privacy**: Respect anonymization measures implemented in the dataset
+- **Research Use**: Use data only for legitimate cybersecurity research and education
+- **Responsible Disclosure**: Follow responsible disclosure practices for any findings
+- **Legal Compliance**: Comply with applicable laws and regulations in your jurisdiction
+- **No Reidentification**: Do not attempt to identify or contact attackers
+- **Defensive Purpose**: Use insights for defensive security improvements only
+
+

data_files.json

@@ -0,0 +1,7 @@
+{
+  "train": {
+    "csv": "train.csv",
+    "parquet": "train.parquet",
+    "jsonl": "train.jsonl"
+  }
+}

metadata.json

@@ -0,0 +1,262 @@
+{
+  "dataset_info": {
+    "name": "network-intrusion-detection",
+    "version": "1.0.0",
+    "description": "Cybersecurity dataset from honeypot infrastructure",
+    "total_samples": 29545,
+    "features": 77,
+    "creation_timestamp": "2025-09-22T16:35:07.148369+00:00",
+    "data_source": "Honeypot Infrastructure",
+    "honeypot_types": {},
+    "time_range": {
+      "start": "",
+      "end": "2025-09-22T16:33:45.474857+00:00"
+    }
+  },
+  "statistics": {
+    "total_events": 40000,
+    "successful_extractions": 40000,
+    "feature_extraction_time": 68.711894,
+    "dataset_creation_time": 0,
+    "quality_score": 0.0
+  },
+  "feature_schema": {
+    "payload": "object",
+    "dest_ip": "object",
+    "metadata": "object",
+    "src_ip": "object",
+    "@timestamp": "object",
+    "honeypot_hostname": "object",
+    "dest_port": "int64",
+    "in_iface": "object",
+    "pkt_src": "object",
+    "geoip_ext": "object",
+    "proto": "object",
+    "honeypot_ip_int": "object",
+    "event_type": "object",
+    "alert": "object",
+    "direction": "object",
+    "geoip": "object",
+    "host": "object",
+    "type": "object",
+    "payload_printable": "object",
+    "@version": "object",
+    "flow": "object",
+    "src_port": "object",
+    "honeypot_ip_ext": "object",
+    "stream": "object",
+    "flow_id": "object",
+    "timestamp": "object",
+    "mitre_techniques": "object",
+    "attack_vectors": "object",
+    "mitre_tactic": "object",
+    "mitre_technique": "object",
+    "confidence_score": "object",
+    "is_malicious": "bool",
+    "severity": "object",
+    "primary_label": "object",
+    "subject": "object",
+    "os": "object",
+    "dist": "object",
+    "mod": "object",
+    "params": "object",
+    "raw_sig": "object",
+    "rdp": "object",
+    "tags": "object",
+    "app_proto": "object",
+    "tx_guessed": "object",
+    "tx_id": "object",
+    "fatt_ssh": "object",
+    "protocol": "object",
+    "link": "object",
+    "raw_mtu": "object",
+    "ssh": "object",
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+    "tcp": "object",
+    "uptime": "object",
+    "raw_freq": "object",
+    "ip_rep": "object",
+    "anomaly": "object",
+    "lang": "object",
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+}

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upload_manifest.json

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+{
+  "upload_session_id": "upload_1758558909",
+  "preparation_timestamp": "2025-09-22T16:35:11.452405+00:00",
+  "source_path": "outputs/ml_pipeline/network-intrusion-detection",
+  "dataset_format": "huggingface",
+  "files_prepared": [
+    "train.jsonl",
+    "train.parquet",
+    "metadata.json",
+    "README.md",
+    "data_files.json",
+    "train.csv"
+  ],
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+}