Implementation of RITA (Real Intelligence Threat Analytics) in Jupyter Notebook with improved scoring algorithm.
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Updated
Jul 21, 2022 - Jupyter Notebook
Cybersecurity involves protecting systems, networks, and data from cyber threats. This field encompasses a wide range of practices and technologies designed to safeguard information from unauthorized access, attacks, damage, or theft. Cybersecurity includes preventive measures such as firewalls, encryption, and secure coding practices, as well as detection and response strategies like intrusion detection systems and incident response plans. This topic covers the principles, best practices, and latest trends in cybersecurity, including emerging threats and the evolving landscape of cyber defense.
Implementation of RITA (Real Intelligence Threat Analytics) in Jupyter Notebook with improved scoring algorithm.
Collection of Jupyter Notebooks by @fr0gger_
STIX2 graph widget for Jupyter notebooks, powered by stixview library
Analyst Tool to automate some of an analyst's daily investigation tasks. In both python script and Jupyter Notebook format.
Our plan is to improve cybersecurity posture through risk assessment, goal-setting, resource allocation, KPI monitoring, and ongoing review.
Jupyter notebook for detecting malicious URLs
Example of ML methods and strategies in practice.
Repository of all notebooks used in workshop at NII.
Machine learning notebooks using cybersecurity data
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an OBJECT DETECTION proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (A1) PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a EMOTION RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Jupyter Notebook for Analysis and Reporting on Data Breach Trends
The notebook covers basic data cleaning, exploration, and visualization techniques to understand the characteristics of spam emails.
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (G2) PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (D) proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a BRAIN PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a VOICE PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an OBJECT MASKING PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (C) proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Created by The cybersecurity community