Smart Seoul

S-Security(Smart Seoul Security)


Various cyber security threats are increasing following the acceleration of digital transformation, such as the expansion of online services.
The need for continuous response for security risks such as preemptively responding to cyber security risks and strengthening privacy protection.
A continuous response system for security risks is created to achieve a world leading cyber-safe city through strengthening control tower functions and privacy protection activities.


S-Security status

Personnel and equipment Control targets (72 institutions) Major functions
  • Personnel: 24 persons
  • Control equipment: 8 types / 455 units (trespassing prevention and shut-off, DDoS response, etc.)
  • Seoul Metropolitan Council: 1
  • Seoul City Hall/Office: 17
  • District: 25
  • Metropolitan Hospital: 10
  • Financial Institution: 19
  • Cyber risk detection and response, analysis, and status display
  • Violation accident investigation and analysis (digital forensic)
  • Simulation training for responding to cyber attacks and privacy protection
  • Information Security Management System (ISMS) operation
Expansion of AI-based Security Control System

An AI-based security control system appropriate for Seoul's cyber security environment was established to preemptively respond to cyber attacks which are becoming increasingly intelligent and large-scale.

  • Execution of pilot project in 2021
    • Connected establishment between 4 systems and development of a violation accident prediction model (applied to 18 institutions including city hall and offices)

      Execution of pilot project in 2021

      platform flow - System, Content
      System Content
      Risk collection & analysis system

      Risk data (raw data) detected from security equipment in 72 security control institutions are collected for filtering and normalization

      Violation accident prediction machine learning system

      Attack classification detected through supervised learning and violation accident probability prediction

      • A risk index based violation accident prediction model through time series analysis of attacks and correlation
      Violation accident response system

      A security control officer monitors and responds to detected attack types and violation accident possibilities in real-time

      Risk intelligence system

      Provides various risk information from Korean security companies and research institutes (harmful IP addresses, methods of attack for each entity, response method, etc.) through the cloud

  • Results from the 2021 pilot project will be analyzed and reflected in 2022 to expand on AI-based security control
    (Expanded to 54 institutions incl. 25 districts)
  • Seoul Cyber Safety Center (Jan. 2022-Dec.2022)
  • AI-based security control platform (2022-2022)
  • Cyber attack response simulation training (May 2022-Aug. 2022)
  • Website security vulnerability inspection, etc. (Jan. 2022-Jun. 2022)