SYSTEM AND METHOD FOR GRAPHICAL RETICULATED ATTACK VECTORS FOR INTERNET OF THINGS AGGREGATE SECURITY (GRAVITAS)

Patent №

US 12,464,006

Granted

2025-11-04

Filed 2023

Owner

The Trustees of Princeton University

Lab

AI components

0

Assignment

None on record

Dataset

AIPD

Application

18027765

According to various embodiments, a system for detecting security vulnerabilities in at least one of cyber-physical systems (CPSs) and Internet of Things (IoT) devices is disclosed. The system includes one or more processors configured to construct an attack directed acyclic graph (DAG) unique to each CPS or IoT device of the devices. The processors are further configured to generate an aggregate attack DAG from a classification of each device and a location of each device in network topology specified by a system administrator. The processors are also configured to calculate a vulnerability score and exploit risk score for each node in the aggregate attack DAG. The processors are further configured to optimize placement of defenses to reduce an adversary score of the aggregate attack DAG.

G06F 21/552H04L 63/1433G06N 5/02H04L 63/1416H04L 63/1425H04L 63/1441

Ownership

The Trustees of Princeton University

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