{"id":33599,"date":"2025-04-23T23:27:32","date_gmt":"2025-04-23T21:27:32","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/rf-stego-dataset-python-based-tool-that-generates-synthetic-rf-iq-recordings-optional-steganographic-payloads-embedded-via-lsb-repo-includes-sample-dataset\/"},"modified":"2025-04-23T23:27:32","modified_gmt":"2025-04-23T21:27:32","slug":"rf-stego-dataset-python-based-tool-that-generates-synthetic-rf-iq-recordings-optional-steganographic-payloads-embedded-via-lsb-repo-includes-sample-dataset","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/rf-stego-dataset-python-based-tool-that-generates-synthetic-rf-iq-recordings-optional-steganographic-payloads-embedded-via-lsb-repo-includes-sample-dataset\/","title":{"rendered":"Rf-stego-dataset: Python Based Tool That Generates Synthetic RF IQ Recordings + Optional Steganographic Payloads Embedded Via LSB (repo Includes Sample Dataset)"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<h1>rf-stego-dataset [tegridydev]<\/h1>\n<p>Python based tool that generates synthetic RF IQ recordings (<code>.sigmf-data<\/code> + <code>.sigmf-meta<\/code>) with optional steganographic payloads embedded via LSB. <\/p>\n<p>It also produces spectrogram PNGs and a manifest (<code>metadata.csv<\/code> + <code>metadata.jsonl.gz<\/code>).<\/p>\n<h2>Key Features<\/h2>\n<ul>\n<li><strong>Modulations:<\/strong> BPSK, QPSK, GFSK, 16-QAM (Gray), 8-PSK<\/li>\n<li><strong>Channel Impairments:<\/strong> AWGN, phase noise, IQ imbalance, Rician \/ Nakagami fading, frequency &amp; phase offsets<\/li>\n<li><strong>Steganography:<\/strong> LSB embedding into the I\u2011component<\/li>\n<li><strong>Outputs:<\/strong> SigMF files, spectrogram images, CSV &amp; gzipped JSONL manifests<\/li>\n<li><strong>Configurable:<\/strong> via <code>config.yaml<\/code> or interactive menu<\/li>\n<\/ul>\n<h2>Dataset Contents<\/h2>\n<p>Each clip folder contains: 1. <code>clip_&lt;idx&gt;_&lt;uuid&gt;.sigmf-data<\/code> 2. <code>clip_&lt;idx&gt;_&lt;uuid&gt;.sigmf-meta<\/code> 3. <code>clip_&lt;idx&gt;_&lt;uuid&gt;.png<\/code> (spectrogram)<\/p>\n<p>The manifest lists: &#8211; Dataset name, sample rate &#8211; Modulation, impairment parameters, SNR, frequency offset &#8211; Stego method used &#8211; File name, generation time, clip duration<\/p>\n<h2>Use Cases<\/h2>\n<ul>\n<li><strong>Machine Learning:<\/strong> train modulation classification or stego detection models<\/li>\n<li><strong>Signal Processing:<\/strong> benchmark algorithms under controlled impairments<\/li>\n<li><strong>Security Research:<\/strong> study steganography in RF domains<\/li>\n<\/ul>\n<h2>Quick Start<\/h2>\n<ol>\n<li>Clone repo: <code>git clone https:\/\/github.com\/tegridydev\/rf-stego-dataset.git<\/code><\/li>\n<li>Install dependencies: <code>pip install -r requirements.txt<\/code><\/li>\n<li>Edit <code>config.yaml<\/code> or run: <code>python rf-gen.py<\/code> and choose <strong>Show config<\/strong> \/ <strong>Change param<\/strong><\/li>\n<li>Generate data: select <strong>Generate all clips<\/strong><\/li>\n<\/ol>\n<p><em>~~Enjoy &lt;3<\/em><\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/tegridyblues\"> \/u\/tegridyblues <\/a> <br \/> <span><a href=\"https:\/\/github.com\/tegridydev\/rf-stego-dataset\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1k6amkq\/rfstegodataset_python_based_tool_that_generates\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-33599 jlk' href='javascript:void(0)' data-task='like' data-post_id='33599' data-nonce='614a020375' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-33599 lc'>0<\/span><\/a><\/div><\/div> <div class='status-33599 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>rf-stego-dataset [tegridydev] Python based tool that generates synthetic RF IQ recordings (.sigmf-data + .sigmf-meta) with optional steganographic&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-33599","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/33599","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=33599"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/33599\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=33599"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=33599"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=33599"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}