Python for Enhanced OPSEC

Explore Python's potential for enhancing operational security (OPSEC) in this conference talk from Hack In The Box Security Conference. Dive into the innovative DECEPTICON bot, a Python-based tool that leverages Natural Language Processing (NLP) and Machine Learning (ML) to autonomously manage social media presence. Learn how this technology can be applied to protect individuals trying to abandon targeted social media accounts without alerting adversaries. Discover the practical applications for public figures, executives, and victims of domestic violence or trafficking. Gain insights into social engineering, OSINT techniques, and the intersection of cybersecurity and privacy. Follow along as the speaker demonstrates code implementation, discusses long-term memory models, recurrent neural networks, and the use of Jetson Nano for this project. Understand the lessons learned and potential implications of this technology for enhancing personal security in the digital age.

Intro
About me
Disclaimer
Definitions
Problem
Abandoning
Fake Accounts
Social Media Presence
Code Links
Python Code
Long Term Memory Model
Recurrent Neural Network
Code
Generate
Demonstration
Project History
Jetson Nano
Why Jetson Nano
Lessons Learned
Twitter
Code Overview
Questions