Skip to content
프로젝트

OTRF/OSSEM has 1,303 GitHub stars and 207 forks. GitHot measured 0 in 7 days. Last checked 2026-11-10 20:18 UTC. Last push 2023-02-27.

이 수치를 측정하는 방법

Open Source Security Events Metadata (OSSEM)

측정된 스타 증가

in 24h
업데이트 지연
in 7 days
0
in 15 days
기록 수집 중
in 1 month
기록 수집 중

서로 겹치는 기간의 순증가량이며 일별 합계가 아닙니다. 측정값이 없으면 비워 둡니다. 스타는 관심도를 나타내며 품질을 보장하지 않습니다.

README.md

Original

Open Source Security Events Metadata (OSSEM)

Open Source Love Open_Threat_Research Community Twitter

A community-led project focused primarily on the documentation, standardization and modeling of security event logs.

https://ossemproject.com/intro.html

Goals

  • Define and share a common data moel in order to improve the data standardization and transformation of security event logs
  • Define and share data structures and relationships identified in security events logs
  • Provide detailed information in a dictionary format about several security event logs to the community
  • Learn more about security event logs (Windows, Linux, MacOS, Azure, AWS, etc)

Project Structure

  • Data Dictionaries (DD):
    • Contains specific information about several security event logs organized by operating system and their respective data providers.
    • Each dictionary describes a single event log and its corresponding field names.
    • It provides the foundational concepts to create a data wiki in an organization.
  • Common Data Model (CDM)
    • Facilitates the normalization of data by providing a standard way to parse security event logs.
    • The project is organized by schema entities identified in several data sources.
    • The definitions of each schema entity and its respective attributes (field names) are mostly general descriptions that could help and expedite event logs parsing procedures.
    • The project also provides the concept of schema tables to aggregate common entities and parse similar data sources. For example, HTTP, Port and User Agent entities can be used to normalize network traffic metadata captured in a network environment.
  • Detection Model (DM):
    • Focuses on identifying relationships among security events to facilitate the development of data analytics and help validate the detection of adversary techniques.

Sponsors

Author

Current Committers

Projects Using OSSEM

Resources

관련 프로젝트 살펴보기