conwubiko
I am a Cyber Security, Artificial Intelligence & Blockchain consultant with over 15 years experience in leading, delivering and building Cyber Security Programs
C-MRiC.ORGLondon, UK
Pinned Repositories
AI-Image-Classifier
Conv Neural Network Image Classifier using torchvision pretrained models to train a classifier while preserving the features.
CoCoa
An Ontology for Cybersecurity Operations Centre Analysis Process
SOTER
SOTER – A playbook for Cyber Security Incident Management, 2019. This project is now completed. The focus is on the use of intelligent and adaptive machine learning techniques to develop a comprehensive and adaptive playbook to manage cyber incidents, offering a cross-sectorial, process driven approach, lexicon-based equivalence mapping, sentiment analysis, semantic similarity classification to existing cyber security incident vocabulary and taxonomy. The project sponsors do not wish for it to be made publicly available yet.
SPiRiT
SPiRIT – Adaptive Intelligence-led CyberSA, target completion date, 2023. The background to the project is about Machine Learning for Cyber Security, the case of using Machine Learning and data science concepts to analyse incomplete, conflicting and complementary intelligence in order to make informed decision. The model should be able to incorporate new intelligence and enrichments and as when new intelligence becomes available the model can adapt and hence reinforce its belief system in order to make plausible decisions in the face of new intelligence. While the model may be applied to Cyber, it should be agnostic and hence can be applied to various domains. The project sponsors do not wish for it to be made publicly available yet.
conwubiko's Repositories
conwubiko/CoCoa
An Ontology for Cybersecurity Operations Centre Analysis Process
conwubiko/SOTER
SOTER – A playbook for Cyber Security Incident Management, 2019. This project is now completed. The focus is on the use of intelligent and adaptive machine learning techniques to develop a comprehensive and adaptive playbook to manage cyber incidents, offering a cross-sectorial, process driven approach, lexicon-based equivalence mapping, sentiment analysis, semantic similarity classification to existing cyber security incident vocabulary and taxonomy. The project sponsors do not wish for it to be made publicly available yet.
conwubiko/AI-Image-Classifier
Conv Neural Network Image Classifier using torchvision pretrained models to train a classifier while preserving the features.
conwubiko/SPiRiT
SPiRIT – Adaptive Intelligence-led CyberSA, target completion date, 2023. The background to the project is about Machine Learning for Cyber Security, the case of using Machine Learning and data science concepts to analyse incomplete, conflicting and complementary intelligence in order to make informed decision. The model should be able to incorporate new intelligence and enrichments and as when new intelligence becomes available the model can adapt and hence reinforce its belief system in order to make plausible decisions in the face of new intelligence. While the model may be applied to Cyber, it should be agnostic and hence can be applied to various domains. The project sponsors do not wish for it to be made publicly available yet.