Accession Number:

AD1175136

Title:

Using Deep Reinforcement Learning to Simulate Security Analyst

Descriptive Note:

[Technical Report, Final Report]

Corporate Author:

CZECH TECHNICAL UNIVERSITY IN PRAGUE

Personal Author(s):

• Pevny, Tomas

Report Date:

2022-06-03

Pagination or Media Count:

4

Abstract:

The goal of this project was to overcome conventional limitations of deep learning approaches and advance the use of machine learning approaches to understand, identify, and analyze security incidents. In general, main-stream classifiers require a full description of the sample in our scenario this means all possible information about the security incident and perform the classification in one step, which is in a sharp contrast to the modus operandi of the analyst, whose investigation is composed of a sequence of actions and decisions.

Descriptors:

Subject Categories:

• Cybernetics
• Computer Systems Management and Standards

Distribution Statement:

[A, Approved For Public Release]