Threat analysis tool based on Machine Learning

Description:

It is a threat monitoring and assessment tool aimed at facilitating the deployment of a new generation of network situational awareness services in a healthcare organization.

Methodology:

• -Use of Artificial Intelligence methods.
• -Use of Machine & Deep Learning methods
• -Use of advanced Big Data Visualization and Analysis techniques.
• -Use of virtual honeypots that mimic the behavior of regular IoMT devices and networks.
• -Use of homomorphic encryption techniques.

Objectives:

• cause analysis to determine the source of any threat and its assessment
• direct access to sensitive data collected and/or managed by endpoints
• zero-knowledge proof interactions to ensure data integrity
• dynamic investigation and visualization of endpoint data to detect zero-day exploits, sophisticated cyber attacks and detect and prevent cyber attacks on a central system, medical device and hospital network
• dynamic risk assessment for real-time assessment of network activity