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1
Intro
2
About me
3
Disclaimer
4
Definitions
5
Problem
6
Abandoning
7
Fake Accounts
8
Social Media Presence
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Code Links
10
Python Code
11
Long Term Memory Model
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Recurrent Neural Network
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Code
14
Generate
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Demonstration
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Project History
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Jetson Nano
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Why Jetson Nano
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Lessons Learned
20
Twitter
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Code Overview
22
Questions
Description:
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.

Python for Enhanced OPSEC

Hack In The Box Security Conference
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