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Home > Data Sets > Semi-structured > Structure > Botnet Attacks

Botnet Attacks

IoT-based botnet data set are that can be used for performance evaluation of IoT-based IDS for detecting botnet attacks.

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Knowledge

Explicitness (10)
- Tacit (4)
  - Users (1)
  - Experts (2)
  - Crowd (1)
- Explicit (5)
  - Documents (0)
  - Rules and Regulations (1)
- Implicit (3)
  - Descriptive Analytics (1)
  - Diagnostic Analytics (0)
  - Discovery in Analytics (0)
  - Predictive Analytics (0)
  - Prescriptive Analytics (0)
Structure (19)
- Structured (16)
  - Relacional Databases (1)
  - Knowledge-Bases (2)
- Semi-structured (16)
  - Data Sets (15)
    - IoT-Based VPN and Non-VPN (3)
    - Mobile Applications (5)
    - Botnet Attacks (0)
    - Smart Home and Building (1)
    - IoT-Based Smart Farming (1)
    - Healthcare Applications (2)
    - IoT-Based Smart City (1)
- Unstructured (1)
  - Text files (0)
  - Multimedia content (0)
  - Social media (0)
  - Websites and markup language (0)
  - Mobile and communications data (0)
  - Machine and sensor data (0)
  - Scientific data (0)
Trust (7)
- Trustful (5)
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    - Data confidentiality (0)
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  - Integrity (1)
    - Data Integrity (1)
    - System integrity (0)
  - Availability (1)
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- Untrustful (0)
Outcome (6)
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- Substituting (0)
Action (8)
- Automation (5)
  - Industry Automation (4)
    - Digital learning (0)
    - Product supply chain (0)
    - Machine-to-machine (M2M) (1)
    - Energy consumption (0)
    - Power consumption (0)
    - Vehicle-to-vehicle (V2V) (0)
- Transformation (5)
  - Healthcare (1)
    - Monitor the diagnosis (1)
    - Nutrition and medicines (0)
    - Medical equipment (0)
    - Medical facilities (1)
    - Medical insurance (0)
  - Smart Grid (0)
    - Distribution and consumption management (0)
    - Transmission control (0)
    - Enhanced metering architecture (0)
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    - Self-healing infrastructure (0)
  - Transportation (0)
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    - Traffic control (0)
    - Anomaly detection (0)
    - Traffic prediction (0)
    - Managing emergency situations (0)
  - Smart Home and Building (0)
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    - Predict future events (0)
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    - Cleaning management (0)
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    - Emergency control (0)
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    - Environmental conditions (1)
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Type of Sensors and Actuators

Presentation (5)
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Engagement (4)
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  - Mobile crowdsensing (MCS) (1)
  - Mobile Crowd Sensing and Computing (MCSC) (0)
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- Opportunistic (2)
Role (5)
- Sensor (4)
  - Environmental (1)
    - Gas sensors (0)
    - Humidity sensors (0)
    - Pressure Sensors (0)
    - Ambient Light Sensors (0)
    - Proximity Sensors (0)
    - CO₂ sensor (0)
  - Motion (0)
    - Absolute orientation sensors (0)
    - Accelerometers (0)
    - Gyroscopes (0)
    - IMUs (0)
  - Temperature (0)
    - Analog temperature sensors (0)
    - Digital temperature sensors (0)
    - Thermistors (0)
  - mmWave radar (0)
    - Automotive mmWave radar sensors (0)
    - Industrial mmWave radar sensors (0)
  - Magnetic (0)
    - Hall-effect current sensors (0)
    - Hall-effect latches & switches (0)
    - Linear Hall Sensors (0)
    - Magnetometers (0)
- Actuator (0)
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  - Hydraulic Actuators (0)
  - Pneumatic Actuators (0)
  - Manual Actuators (0)
- Sensor and Actuator (0)
Use (5)
- Wearable (2)
  - Accessories (1)
    - Head-mounted devices (1)
      - Smart Eyewear (1)
      - Headsets and Ear-buds (0)
    - Wrist-worns (0)
      - Wrist Bands (0)
      - Smart Watches (0)
    - Other accessories (0)
      - Smart Jewellery (0)
  - E-Textiles (0)
    - Foot/hand-worns (0)
  - E-Patches (0)
- Surroundable (2)
- Connected (1)
- Embeddable (0)
Nature (5)
- Electronic-based (4)
- Human-based (2)
- Software-based (1)
- Non-human-based (0)

Observation

Mobility (5)
- Fixed (3)
- Mobile (1)
Mode (5)
- Sensed (4)
  - Dedicated (1)
  - Non-dedicated (1)
- Manually provided (0)
  - On demand (0)
- Derived (1)
  - Always-on (1)
Time or Frequency (4)
- Pull method or Event-based (3)
- Push method or Continuous (0)
Location (5)
- Fine-grained (3)
- Coarse-grained (1)
Reach (5)
- Partial (4)
- Homogeneous (0)
- Heterogeneous (0)
- Full (0)

Capability

Communication (9)
- Organizational (5)
- Semantic (2)
  - Resource Description Framework RDF (0)
  - SPARQL (0)
  - RDF Query Language. (0)
- Technical (1)
  - Devices (1)
    - Protocol (0)
      - IEEE 802.11 (0)
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      - LoRaWan (0)
      - COAP (0)
      - Message queuing telemetry transport (MQTT) (0)
      - extensible messaging and presence protocol (XMPP) (0)
      - Advanced message queuing protocol (AMQP) (0)
      - data distribution service (DDS) (0)
      - Hypertext transfer protocol (HTTP) (0)
    - Gateway (0)
      - Apple HomeKit (0)
      - If-This-Then- That (IFTTT) Eclipse Ponte (0)
      - Light-Weight M2M (LWM2M) (0)
    - Technologies (0)
      - Zigbee (0)
      - Bluetooth Mesh (0)
      - Zwave (0)
      - WiFi (0)
      - Radio frequency identification (RFID) (0)
      - LTE (0)
      - SigFox (0)
  - Networks (0)
  - Platforms (0)
    - Google Cloud Platform (0)
    - ThingSpeak (0)
    - Microsoft Azure Cloud (0)
    - oneM2M (0)
    - ThingWorx (0)
    - IBM Watson IoT (0)
- Syntactical (1)
- Conceptual (1)
- No connection (0)
- Pragmatic (0)
Storage (4)
- Cluster Level (3)
- Device Level (1)
- Network-Level (1)
Processing (5)
- Cloud Level (3)
- Pre-Processing (1)
  - Raw data (1)
  - Filtering and denoising (0)
- Analytics (1)
  - ML and data mining (0)
  - Real-time (0)
- Device Level (1)
- Post-Processing (0)
  - Statistical (0)
  - Prediction (0)
- Network-Level (0)

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data people process processes smart sensor things

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