Robot Hacking Manual (RHM). From robotics to cybersecurity. Papers, notes and writeups from a journey into robot cybersecurity.

Related tags

Deep Learningdockersecuritytutorialrobotroboticshackingforensicscybersecuritymanualrobotsctfcyber-securitystep-tutorialrobot-footprintingrobot-exploitationrobot-enumerationrobot-cybersecurity
Overview

RHM: Robot Hacking Manual

Download in PDF RHM v0.4 ┃ Read online

The Robot Hacking Manual (RHM) is an introductory series about cybersecurity for robots, with an attempt to provide comprehensive case studies and step-by-step tutorials with the intent to raise awareness in the field and highlight the importance of taking a security-first1 approach. The material available here is also a personal learning attempt and it's disconnected from any particular organization. Content is provided as is and by no means I encourage or promote the unauthorized tampering of robotic systems or related technologies.

Footnotes

  1. Read on what a security-first approach in here. ↩

You might also like...
ICCV2021 - A New Journey from SDRTV to HDRTV.
ICCV2021 - A New Journey from SDRTV to HDRTV.

ICCV2021 - A New Journey from SDRTV to HDRTV.

XyChen 82 Dec 27, 2022
Control-Raspberry-Pi-Robot-using-Hand-Gestures - A 4WD Robot car based on Raspberry Pi that controlled by hand gestures(using openCV and mediapipe)
Control-Raspberry-Pi-Robot-using-Hand-Gestures - A 4WD Robot car based on Raspberry Pi that controlled by hand gestures(using openCV and mediapipe)

Control-Raspberry-Pi-Robot-using-Hand-Gestures you can see all details about thi

MohammadReza Sharifi 27 Dec 13, 2022
Guiding evolutionary strategies by (inaccurate) differentiable robot simulators @ NeurIPS, 4th Robot Learning Workshop
Guiding evolutionary strategies by (inaccurate) differentiable robot simulators @ NeurIPS, 4th Robot Learning Workshop

Guiding Evolutionary Strategies by Differentiable Robot Simulators In recent years, Evolutionary Strategies were actively explored in robotic tasks fo

Vladislav Kurenkov 4 Dec 14, 2021
Libraries, tools and tasks created and used at DeepMind Robotics.

Libraries, tools and tasks created and used at DeepMind Robotics.

DeepMind 270 Nov 30, 2022
Pytorch code for ICRA'21 paper:
Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation This repository is the pytorch implementation of our paper: Hierarchical Cr

null 43 Nov 21, 2022
Yet Another Robotics and Reinforcement (YARR) learning framework for PyTorch.
Yet Another Robotics and Reinforcement (YARR) learning framework for PyTorch.

Yet Another Robotics and Reinforcement (YARR) learning framework for PyTorch.

Stephen James 51 Dec 27, 2022
YARR is Yet Another Robotics and Reinforcement learning framework for PyTorch.
YARR is Yet Another Robotics and Reinforcement learning framework for PyTorch.

Yet Another Robotics and Reinforcement (YARR) learning framework for PyTorch.

Stephen James 21 Aug 1, 2021
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics. By Andres Milioto @ University of Bonn. (for the new P

Photogrammetry & Robotics Bonn 314 Dec 30, 2022
Robotics with GPU computing
Robotics with GPU computing

Robotics with GPU computing Cupoch is a library that implements rapid 3D data processing for robotics using CUDA. The goal of this library is to imple

Shirokuma 625 Jan 7, 2023
Comments
  • Aztarna path for Dockerfile COPY

    Aztarna path for Dockerfile COPY

    Hi vmayoral, thanks for putting this together.

    It may be helpful to instruct in the readme that users clone/copy the aztarna package to the Dockerfile build directory (basic_robot_cybersecurity/robot_footprinting/tutorial1) for tutorial 1 so that it can be copied via the relative path (COPY ./aztarna /root/aztarna) in the Dockerfile.

    opened by mitchallain 2
Releases(0.5)

  • 0.5(Aug 3, 2022)

    Robot Hacking Manual (RHM v0.5). From robotics to cybersecurity. Papers, notes and writeups from a journey into robot cybersecurity.

    The Robot Hacking Manual (RHM) is an introductory series about cybersecurity for robots, with an attempt to provide comprehensive case studies and step-by-step tutorials with the intent to raise awareness in the field and highlight the importance of taking a security-first approach. The material available here is also a personal learning attempt and it's disconnected from any particular organization. Content is provided as is and by no means I encourage or promote the unauthorized tampering of robotic systems or related technologies.

    Changes:

    • Added robot hacks table
    • Reviewed case studies
    • Various minor improvements
    • Updated list of recommended talks
    Source code(tar.gz)
    Source code(zip)
    RHM.pdf(6.22 MB)

  • 0.4(Dec 12, 2021)

    Robot Hacking Manual (RHM v0.4). From robotics to cybersecurity. Papers, notes and writeups from a journey into robot cybersecurity.

    The Robot Hacking Manual (RHM) is an introductory series about cybersecurity for robots, with an attempt to provide comprehensive case studies and step-by-step tutorials with the intent to raise awareness in the field and highlight the importance of taking a security-first approach. The material available here is also a personal learning attempt and it's disconnected from any particular organization. Content is provided as is and by no means I encourage or promote the unauthorized tampering of robotic systems or related technologies.

    Changes:

    • Added recap of talks and videos on robot cybersecurity
    • Added a new case study with open source ROS (1) PoCs
    • Improvements
    Source code(tar.gz)
    Source code(zip)
    RHM.pdf(6.13 MB)

  • 0.3(Nov 21, 2021)

    Robot Hacking Manual (RHM v0.3). From robotics to cybersecurity. Papers, notes and writeups from a journey into robot cybersecurity.

    The Robot Hacking Manual (RHM) is an introductory series about cybersecurity for robots, with an attempt to provide comprehensive case studies and step-by-step tutorials with the intent to raise awareness in the field and highlight the importance of taking a security-first approach. The material available here is also a personal learning attempt and it's disconnected from any particular organization. Content is provided as is and by no means I encourage or promote the unauthorized tampering of robotic systems or related technologies.

    Source code(tar.gz)
    Source code(zip)
    RHM.pdf(9.05 MB)
Owner
Víctor Mayoral Vilches
Roboticist. AI and security enthusiast.
Víctor Mayoral Vilches
GitHub Repository https://rhm.cybersecurityrobotics.net/
Anchor-free Oriented Proposal Generator for Object Detection

Anchor-free Oriented Proposal Generator for Object Detection Gong Cheng, Jiabao Wang, Ke Li, Xingxing Xie, Chunbo Lang, Yanqing Yao, Junwei Han, Intro

jbwang1997 56 Nov 15, 2022
PyTorch reimplementation of the paper Involution: Inverting the Inherence of Convolution for Visual Recognition [CVPR 2021].

Involution: Inverting the Inherence of Convolution for Visual Recognition Unofficial PyTorch reimplementation of the paper Involution: Inverting the I

Christoph Reich 100 Dec 01, 2022
Keras Image Embeddings using Contrastive Loss

Keras-Image-Embeddings-using-Contrastive-Loss Image to Embedding projection in vector space. Implementation in keras and tensorflow for custom data. B

Shravan Anand K 5 Mar 21, 2022
Tutorial on scikit-learn and IPython for parallel machine learning

Parallel Machine Learning with scikit-learn and IPython Video recording of this tutorial given at PyCon in 2013. The tutorial material has been rearra

Olivier Grisel 1.6k Dec 26, 2022
A wrapper around SageMaker ML Lineage Tracking extending ML Lineage to end-to-end ML lifecycles, including additional capabilities around Feature Store groups, queries, and other relevant artifacts.

ML Lineage Helper This library is a wrapper around the SageMaker SDK to support ease of lineage tracking across the ML lifecycle. Lineage artifacts in

AWS Samples 12 Nov 01, 2022
CoRe: Contrastive Recurrent State-Space Models

CoRe: Contrastive Recurrent State-Space Models This code implements the CoRe model and reproduces experimental results found in Robust Robotic Control

Apple 21 Aug 11, 2022
ByteTrack超详细教程！训练自己的数据集&&摄像头实时检测跟踪

ByteTrack超详细教程！训练自己的数据集&&摄像头实时检测跟踪

Double-zh 45 Dec 19, 2022
Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring

Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring

2 Dec 28, 2021
Repository for the AugmentedPCA Python package.

Overview This Python package provides implementations of Augmented Principal Component Analysis (AugmentedPCA) - a family of linear factor models that

Billy Carson 6 Dec 07, 2022
Python script that takes an Impulse response .wav and a input .wav to demonstrate audio convolution.

convolver Python script that takes an Impulse response .wav and a input .wav to demonstrate audio convolution. Created by Sean Higley

Sean Higley 1 Feb 23, 2022
A toolkit for making real world machine learning and data analysis applications in C++

dlib C++ library Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real worl

Davis E. King 11.6k Jan 01, 2023
This repository contains small projects related to Neural Networks and Deep Learning in general.

ILearnDeepLearning.py Description People say that nothing develops and teaches you like getting your hands dirty. This repository contains small proje

Piotr Skalski 1.2k Dec 22, 2022
[IEEE Transactions on Computational Imaging] Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting

Few-shot Deep HDR Deghosting This repository contains code and pretrained models for our paper: Self-Gated Memory Recurrent Network for Efficient Scal

Susmit Agrawal 4 Dec 29, 2021
Official implementation of EfficientPose

EfficientPose This is the official implementation of EfficientPose. We based our work on the Keras EfficientDet implementation xuannianz/EfficientDet

2 May 17, 2022
MEND: Model Editing Networks using Gradient Decomposition

MEND: Model Editing Networks using Gradient Decomposition Setup Environment This codebase uses Python 3.7.9. Other versions may work as well. Create a

Eric Mitchell 141 Dec 02, 2022
Exadel CompreFace is a free and open-source face recognition GitHub project

Exadel CompreFace is a leading free and open-source face recognition system Exadel CompreFace is a free and open-source face recognition service that

Exadel 2.6k Jan 04, 2023
Deep Image Search is an AI-based image search engine that includes deep transfor learning features Extraction and tree-based vectorized search.

Deep Image Search - AI-Based Image Search Engine Deep Image Search is an AI-based image search engine that includes deep transfer learning features Ex

139 Jan 01, 2023
Stochastic Scene-Aware Motion Prediction

Stochastic Scene-Aware Motion Prediction [Project Page] [Paper] Description This repository contains the training code for MotionNet and GoalNet of SA

Mohamed Hassan 31 Dec 09, 2022
Simple implementation of Mobile-Former on Pytorch

Simple-implementation-of-Mobile-Former At present, only the model but no trained. There may be some bug in the code, and some details may be different

Acheung 103 Dec 31, 2022
A plug-and-play library for neural networks written in Python

A plug-and-play library for neural networks written in Python!

Dimos Michailidis 2 Jul 16, 2022