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Video Encryption using Space Filling Curves

Python 3x

This project is aimed to implement an algorithm to prevent the Chosen Plain Text Attack on Space Filling Curves. With the help of that algorithm we would be encrypting videos using Selective Frame Encryption.

Project Tree

Video-Encryption/
├── bin
│ ├── setup
│ └── setup.sh
├── capture_frames.py
├── decrypt.py
├── encrypt.py
├── frame_editor.py
├── frames
│ ├── frame0.jpg
│ ├── frame_dec.jpg
│ ├── frame_enc_2.jpg
│ ├── frame_enc_9.jpg
│ └── frame_enc.jpg
├── hilbertt.py
├── img.jpg
├── input2.avi
├── input2.mp4
├── inverted_pixels.json
├── metrics
│ ├── correlation.py
│ ├── entropy.py
│ ├── hist.py
│ ├── ncc2.py
│ ├── plot_cor.py
│ ├── psnr.py
│ └── ssim.py
├── multiprocessing
│ ├── mulitprocessing.py
│ └── pooling.py
├── output.avi
├── output_dec.avi
├── pixels.json
├── playback.mp4
├── playout.avi
├── README.md
├── requirements.txt
├── resize_frame.py
├── reverse_pixels.py
├── SETUP.md
├── swap.py
└── video_dec.py

Project Files

  • capture_frames.py
    • This files uses OpenCV and other tools to capture a particular frame.
    • It takes the location of the video through commandline arguments.
    • It then capture frames at every 6 seconds interval.
    • Output frames are then saved in the Frames folder.
    • The code has been provided with relevant comments for further information.

Milestones of the Project

  • Capturing Frames
    • Getting particular frames from a given video.
  • Strategy for selecting frames
    • Deciding algorithm for selecting frames for Selective Frame Encryption.
  • Scrambling the frames
    • Using SFCs to encrypt the acquired frame.
  • Putting back the Frames
    • Pushing the scrambled frames back in the output video.
  • Decrypting it back
    • Converting the scrambled frames back to original frame and create the output video.

Setup

Visit the Setup file

About

Encrypting videos using Space-Filling Curves 👨🏿‍💻

Topics

algorithmencrypting-videosencryptionframeshilbert-curvepythonselecting-framesspace-filling-curvesvideos

Resources

Readme
Activity

Stars

10 stars

Watchers

2 watching

Forks

2 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Video Encryption using Space Filling Curves
Python 3x

This project is aimed to implement an algorithm to prevent the Chosen Plain Text Attack on Space Filling Curves. With the help of that algorithm we would be encrypting videos using Selective Frame Encryption.

Project Tree
Video-Encryption/
├── bin
│ ├── setup
│ └── setup.sh
├── capture_frames.py
├── decrypt.py
├── encrypt.py
├── frame_editor.py
├── frames
│ ├── frame0.jpg
│ ├── frame_dec.jpg
│ ├── frame_enc_2.jpg
│ ├── frame_enc_9.jpg
│ └── frame_enc.jpg
├── hilbertt.py
├── img.jpg
├── input2.avi
├── input2.mp4
├── inverted_pixels.json
├── metrics
│ ├── correlation.py
│ ├── entropy.py
│ ├── hist.py
│ ├── ncc2.py
│ ├── plot_cor.py
│ ├── psnr.py
│ └── ssim.py
├── multiprocessing
│ ├── mulitprocessing.py
│ └── pooling.py
├── output.avi
├── output_dec.avi
├── pixels.json
├── playback.mp4
├── playout.avi
├── README.md
├── requirements.txt
├── resize_frame.py
├── reverse_pixels.py
├── SETUP.md
├── swap.py
└── video_dec.py

Project Files
  • capture_frames.py
    • This files uses OpenCV and other tools to capture a particular frame.
    • It takes the location of the video through commandline arguments.
    • It then capture frames at every 6 seconds interval.
    • Output frames are then saved in the Frames folder.
    • The code has been provided with relevant comments for further information.
Milestones of the Project
  • Capturing Frames
    • Getting particular frames from a given video.
  • Strategy for selecting frames
    •  Deciding algorithm for selecting frames for Selective Frame Encryption.
  • Scrambling the frames
    • Using SFCs to encrypt the acquired frame.
  • Putting back the Frames
    • Pushing the scrambled frames back in the output video.
  • Decrypting it back
    • Converting the scrambled frames back to original frame and create the output video.
Setup
Visit the Setup file
About
Encrypting videos using Space-Filling Curves 👨🏿‍💻 
Topics
algorithmencrypting-videosencryptionframeshilbert-curvepythonselecting-framesspace-filling-curvesvideos
Resources
Readme
Activity
Stars
10 stars
Watchers
2 watching
Forks
2 forks
Report repository
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Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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BranchesTags
Repository files navigation
Video Encryption using Space Filling Curves
Python 3x

This project is aimed to implement an algorithm to prevent the Chosen Plain Text Attack on Space Filling Curves. With the help of that algorithm we would be encrypting videos using Selective Frame Encryption.

Project Tree
Video-Encryption/
├── bin
│ ├── setup
│ └── setup.sh
├── capture_frames.py
├── decrypt.py
├── encrypt.py
├── frame_editor.py
├── frames
│ ├── frame0.jpg
│ ├── frame_dec.jpg
│ ├── frame_enc_2.jpg
│ ├── frame_enc_9.jpg
│ └── frame_enc.jpg
├── hilbertt.py
├── img.jpg
├── input2.avi
├── input2.mp4
├── inverted_pixels.json
├── metrics
│ ├── correlation.py
│ ├── entropy.py
│ ├── hist.py
│ ├── ncc2.py
│ ├── plot_cor.py
│ ├── psnr.py
│ └── ssim.py
├── multiprocessing
│ ├── mulitprocessing.py
│ └── pooling.py
├── output.avi
├── output_dec.avi
├── pixels.json
├── playback.mp4
├── playout.avi
├── README.md
├── requirements.txt
├── resize_frame.py
├── reverse_pixels.py
├── SETUP.md
├── swap.py
└── video_dec.py

Project Files
  • capture_frames.py
    • This files uses OpenCV and other tools to capture a particular frame.
    • It takes the location of the video through commandline arguments.
    • It then capture frames at every 6 seconds interval.
    • Output frames are then saved in the Frames folder.
    • The code has been provided with relevant comments for further information.
Milestones of the Project
  • Capturing Frames
    • Getting particular frames from a given video.
  • Strategy for selecting frames
    •  Deciding algorithm for selecting frames for Selective Frame Encryption.
  • Scrambling the frames
    • Using SFCs to encrypt the acquired frame.
  • Putting back the Frames
    • Pushing the scrambled frames back in the output video.
  • Decrypting it back
    • Converting the scrambled frames back to original frame and create the output video.
Setup
Visit the Setup file
About
Encrypting videos using Space-Filling Curves 👨🏿‍💻 
Topics
algorithmencrypting-videosencryptionframeshilbert-curvepythonselecting-framesspace-filling-curvesvideos
Resources
Readme
Activity
Stars
10 stars
Watchers
2 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Video Encryption using Space Filling Curves
Python 3x

This project is aimed to implement an algorithm to prevent the Chosen Plain Text Attack on Space Filling Curves. With the help of that algorithm we would be encrypting videos using Selective Frame Encryption.

Project Tree
Video-Encryption/
├── bin
│ ├── setup
│ └── setup.sh
├── capture_frames.py
├── decrypt.py
├── encrypt.py
├── frame_editor.py
├── frames
│ ├── frame0.jpg
│ ├── frame_dec.jpg
│ ├── frame_enc_2.jpg
│ ├── frame_enc_9.jpg
│ └── frame_enc.jpg
├── hilbertt.py
├── img.jpg
├── input2.avi
├── input2.mp4
├── inverted_pixels.json
├── metrics
│ ├── correlation.py
│ ├── entropy.py
│ ├── hist.py
│ ├── ncc2.py
│ ├── plot_cor.py
│ ├── psnr.py
│ └── ssim.py
├── multiprocessing
│ ├── mulitprocessing.py
│ └── pooling.py
├── output.avi
├── output_dec.avi
├── pixels.json
├── playback.mp4
├── playout.avi
├── README.md
├── requirements.txt
├── resize_frame.py
├── reverse_pixels.py
├── SETUP.md
├── swap.py
└── video_dec.py

Project Files
  • capture_frames.py
    • This files uses OpenCV and other tools to capture a particular frame.
    • It takes the location of the video through commandline arguments.
    • It then capture frames at every 6 seconds interval.
    • Output frames are then saved in the Frames folder.
    • The code has been provided with relevant comments for further information.
Milestones of the Project
  • Capturing Frames
    • Getting particular frames from a given video.
  • Strategy for selecting frames
    •  Deciding algorithm for selecting frames for Selective Frame Encryption.
  • Scrambling the frames
    • Using SFCs to encrypt the acquired frame.
  • Putting back the Frames
    • Pushing the scrambled frames back in the output video.
  • Decrypting it back
    • Converting the scrambled frames back to original frame and create the output video.
Setup
Visit the Setup file
About
Encrypting videos using Space-Filling Curves 👨🏿‍💻 
Topics
algorithmencrypting-videosencryptionframeshilbert-curvepythonselecting-framesspace-filling-curvesvideos
Resources
Readme
Activity
Stars
10 stars
Watchers
2 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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BranchesTags
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Video Encryption using Space Filling Curves
Python 3x

This project is aimed to implement an algorithm to prevent the Chosen Plain Text Attack on Space Filling Curves. With the help of that algorithm we would be encrypting videos using Selective Frame Encryption.

Project Tree
Video-Encryption/
├── bin
│ ├── setup
│ └── setup.sh
├── capture_frames.py
├── decrypt.py
├── encrypt.py
├── frame_editor.py
├── frames
│ ├── frame0.jpg
│ ├── frame_dec.jpg
│ ├── frame_enc_2.jpg
│ ├── frame_enc_9.jpg
│ └── frame_enc.jpg
├── hilbertt.py
├── img.jpg
├── input2.avi
├── input2.mp4
├── inverted_pixels.json
├── metrics
│ ├── correlation.py
│ ├── entropy.py
│ ├── hist.py
│ ├── ncc2.py
│ ├── plot_cor.py
│ ├── psnr.py
│ └── ssim.py
├── multiprocessing
│ ├── mulitprocessing.py
│ └── pooling.py
├── output.avi
├── output_dec.avi
├── pixels.json
├── playback.mp4
├── playout.avi
├── README.md
├── requirements.txt
├── resize_frame.py
├── reverse_pixels.py
├── SETUP.md
├── swap.py
└── video_dec.py

Project Files
  • capture_frames.py
    • This files uses OpenCV and other tools to capture a particular frame.
    • It takes the location of the video through commandline arguments.
    • It then capture frames at every 6 seconds interval.
    • Output frames are then saved in the Frames folder.
    • The code has been provided with relevant comments for further information.
Milestones of the Project
  • Capturing Frames
    • Getting particular frames from a given video.
  • Strategy for selecting frames
    •  Deciding algorithm for selecting frames for Selective Frame Encryption.
  • Scrambling the frames
    • Using SFCs to encrypt the acquired frame.
  • Putting back the Frames
    • Pushing the scrambled frames back in the output video.
  • Decrypting it back
    • Converting the scrambled frames back to original frame and create the output video.
Setup
Visit the Setup file
About
Encrypting videos using Space-Filling Curves 👨🏿‍💻 
Topics
algorithmencrypting-videosencryptionframeshilbert-curvepythonselecting-framesspace-filling-curvesvideos
Resources
Readme
Activity
Stars
10 stars
Watchers
2 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Video Encryption using Space Filling Curves
Python 3x

This project is aimed to implement an algorithm to prevent the Chosen Plain Text Attack on Space Filling Curves. With the help of that algorithm we would be encrypting videos using Selective Frame Encryption.

Project Tree
Video-Encryption/
├── bin
│ ├── setup
│ └── setup.sh
├── capture_frames.py
├── decrypt.py
├── encrypt.py
├── frame_editor.py
├── frames
│ ├── frame0.jpg
│ ├── frame_dec.jpg
│ ├── frame_enc_2.jpg
│ ├── frame_enc_9.jpg
│ └── frame_enc.jpg
├── hilbertt.py
├── img.jpg
├── input2.avi
├── input2.mp4
├── inverted_pixels.json
├── metrics
│ ├── correlation.py
│ ├── entropy.py
│ ├── hist.py
│ ├── ncc2.py
│ ├── plot_cor.py
│ ├── psnr.py
│ └── ssim.py
├── multiprocessing
│ ├── mulitprocessing.py
│ └── pooling.py
├── output.avi
├── output_dec.avi
├── pixels.json
├── playback.mp4
├── playout.avi
├── README.md
├── requirements.txt
├── resize_frame.py
├── reverse_pixels.py
├── SETUP.md
├── swap.py
└── video_dec.py

Project Files
  • capture_frames.py
    • This files uses OpenCV and other tools to capture a particular frame.
    • It takes the location of the video through commandline arguments.
    • It then capture frames at every 6 seconds interval.
    • Output frames are then saved in the Frames folder.
    • The code has been provided with relevant comments for further information.
Milestones of the Project
  • Capturing Frames
    • Getting particular frames from a given video.
  • Strategy for selecting frames
    •  Deciding algorithm for selecting frames for Selective Frame Encryption.
  • Scrambling the frames
    • Using SFCs to encrypt the acquired frame.
  • Putting back the Frames
    • Pushing the scrambled frames back in the output video.
  • Decrypting it back
    • Converting the scrambled frames back to original frame and create the output video.
Setup
Visit the Setup file
About
Encrypting videos using Space-Filling Curves 👨🏿‍💻 
Topics
algorithmencrypting-videosencryptionframeshilbert-curvepythonselecting-framesspace-filling-curvesvideos
Resources
Readme
Activity
Stars
10 stars
Watchers
2 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Video Encryption using Space Filling Curves
Python 3x

This project is aimed to implement an algorithm to prevent the Chosen Plain Text Attack on Space Filling Curves. With the help of that algorithm we would be encrypting videos using Selective Frame Encryption.

Project Tree
Video-Encryption/
├── bin
│ ├── setup
│ └── setup.sh
├── capture_frames.py
├── decrypt.py
├── encrypt.py
├── frame_editor.py
├── frames
│ ├── frame0.jpg
│ ├── frame_dec.jpg
│ ├── frame_enc_2.jpg
│ ├── frame_enc_9.jpg
│ └── frame_enc.jpg
├── hilbertt.py
├── img.jpg
├── input2.avi
├── input2.mp4
├── inverted_pixels.json
├── metrics
│ ├── correlation.py
│ ├── entropy.py
│ ├── hist.py
│ ├── ncc2.py
│ ├── plot_cor.py
│ ├── psnr.py
│ └── ssim.py
├── multiprocessing
│ ├── mulitprocessing.py
│ └── pooling.py
├── output.avi
├── output_dec.avi
├── pixels.json
├── playback.mp4
├── playout.avi
├── README.md
├── requirements.txt
├── resize_frame.py
├── reverse_pixels.py
├── SETUP.md
├── swap.py
└── video_dec.py

Project Files
  • capture_frames.py
    • This files uses OpenCV and other tools to capture a particular frame.
    • It takes the location of the video through commandline arguments.
    • It then capture frames at every 6 seconds interval.
    • Output frames are then saved in the Frames folder.
    • The code has been provided with relevant comments for further information.
Milestones of the Project
  • Capturing Frames
    • Getting particular frames from a given video.
  • Strategy for selecting frames
    •  Deciding algorithm for selecting frames for Selective Frame Encryption.
  • Scrambling the frames
    • Using SFCs to encrypt the acquired frame.
  • Putting back the Frames
    • Pushing the scrambled frames back in the output video.
  • Decrypting it back
    • Converting the scrambled frames back to original frame and create the output video.
Setup
Visit the Setup file
About
Encrypting videos using Space-Filling Curves 👨🏿‍💻 
Topics
algorithmencrypting-videosencryptionframeshilbert-curvepythonselecting-framesspace-filling-curvesvideos
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Readme
Activity
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10 stars
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2 watching
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2 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Video Encryption using Space Filling Curves
Python 3x

This project is aimed to implement an algorithm to prevent the Chosen Plain Text Attack on Space Filling Curves. With the help of that algorithm we would be encrypting videos using Selective Frame Encryption.

Project Tree
Video-Encryption/
├── bin
│ ├── setup
│ └── setup.sh
├── capture_frames.py
├── decrypt.py
├── encrypt.py
├── frame_editor.py
├── frames
│ ├── frame0.jpg
│ ├── frame_dec.jpg
│ ├── frame_enc_2.jpg
│ ├── frame_enc_9.jpg
│ └── frame_enc.jpg
├── hilbertt.py
├── img.jpg
├── input2.avi
├── input2.mp4
├── inverted_pixels.json
├── metrics
│ ├── correlation.py
│ ├── entropy.py
│ ├── hist.py
│ ├── ncc2.py
│ ├── plot_cor.py
│ ├── psnr.py
│ └── ssim.py
├── multiprocessing
│ ├── mulitprocessing.py
│ └── pooling.py
├── output.avi
├── output_dec.avi
├── pixels.json
├── playback.mp4
├── playout.avi
├── README.md
├── requirements.txt
├── resize_frame.py
├── reverse_pixels.py
├── SETUP.md
├── swap.py
└── video_dec.py

Project Files
  • capture_frames.py
    • This files uses OpenCV and other tools to capture a particular frame.
    • It takes the location of the video through commandline arguments.
    • It then capture frames at every 6 seconds interval.
    • Output frames are then saved in the Frames folder.
    • The code has been provided with relevant comments for further information.
Milestones of the Project
  • Capturing Frames
    • Getting particular frames from a given video.
  • Strategy for selecting frames
    •  Deciding algorithm for selecting frames for Selective Frame Encryption.
  • Scrambling the frames
    • Using SFCs to encrypt the acquired frame.
  • Putting back the Frames
    • Pushing the scrambled frames back in the output video.
  • Decrypting it back
    • Converting the scrambled frames back to original frame and create the output video.
Setup
Visit the Setup file
About
Encrypting videos using Space-Filling Curves 👨🏿‍💻 
Topics
algorithmencrypting-videosencryptionframeshilbert-curvepythonselecting-framesspace-filling-curvesvideos
Resources
Readme
Activity
Stars
10 stars
Watchers
2 watching
Forks
2 forks
Report repository
Releases
Packages
Used by
Contributors
Languages