Introduction
Over the years I became increasingly curious about anonymous networks, censorship resistance, and privacy-focused communication systems.
I wanted to understand how these systems behave in practice, not just theoretically. I spent time experimenting with TOR, I2P, and Freenet directly, comparing their usability, architecture, performance, and overall philosophy.
Even though these technologies are often grouped together, they are actually very different systems designed around very different goals.
High Level Comparison
TOR
The most mainstream anonymous network. Optimized mainly for anonymous browsing and hidden services.
- Largest user base
- Fastest browsing experience
- Most polished ecosystem
- Uses onion routing
- Strong documentation
I2P
Internal anonymous overlay network heavily focused on peer-to-peer communication.
- Garlic routing architecture
- Strong internal services
- Community-driven ecosystem
- Decentralized feel
- Optimized for internal anonymity
Freenet
Distributed censorship-resistant anonymous data storage network.
- Extremely decentralized
- Anonymous publishing focus
- Distributed encrypted storage
- Very resilient philosophy
- Unique architecture
My Experience Using TOR
TOR was by far the easiest network to start using. Downloading the TOR Browser, connecting, and browsing onion services felt surprisingly polished.
Compared to the others, TOR clearly has the most mature ecosystem. Speeds were noticeably better, documentation was everywhere, and the user experience felt far more accessible to newcomers.
Browser → Entry Node → Relay → Exit Node → InternetWhat I Liked
- Very easy to use
- Large active network
- Strong anonymity research
- Good browsing performance
- Massive public adoption
Weaknesses
- Exit nodes can inspect unencrypted traffic
- Traffic correlation remains possible
- Some websites block TOR users
- Centralized directory authorities exist
Technical Notes
TOR circuits typically use three relays: an entry guard, middle relay, and exit relay.
Hidden services avoid exit nodes entirely by using rendezvous points inside the network itself.
TOR prioritizes low-latency communication, which makes it practical for browsing, but also introduces certain correlation attack concerns.
My Experience Using I2P
I2P immediately felt different from TOR. Instead of focusing on anonymous access to the normal internet, it felt more like an internal anonymous ecosystem.
Forums, internal websites, messaging systems, and peer-to-peer services created a very underground community atmosphere.
Inbound Tunnel ⇄ I2P Router ⇄ Outbound TunnelWhat I Liked
- Strong internal anonymity
- Decentralized feel
- Interesting routing model
- Excellent peer-to-peer focus
- Community-driven ecosystem
Weaknesses
- Harder learning curve
- Less polished interface
- Smaller network size
- Services sometimes unstable
Technical Notes
I2P uses garlic routing, which bundles multiple encrypted messages together into a single transmission.
Unlike TOR, I2P is optimized mainly for internal services rather than anonymous access to the public internet.
The network dynamically builds tunnels and continuously changes paths to complicate traffic analysis.
My Experience Using Freenet
Freenet honestly felt like the strangest and most fascinating system of the three.
It did not feel like traditional internet browsing at all. Instead, it felt like exploring a distributed anonymous archive.
Pages could be extremely slow at times, but the philosophy behind the network was incredibly interesting: persistent anonymous publishing and censorship resistance.
Encrypted Distributed Data Storage Across NodesWhat I Liked
- Strong censorship resistance
- Distributed encrypted storage
- Persistent anonymous publishing
- Very decentralized philosophy
Weaknesses
- Very slow performance
- Steep learning curve
- Smaller ecosystem
- Not ideal for casual browsing
Technical Notes
Freenet stores encrypted fragments of data across participating nodes.
Nodes cache content dynamically, meaning popular content becomes easier to retrieve over time.
The architecture focuses heavily on plausible deniability, censorship resistance, and distributed storage resilience.
Security and Threat Models
One of the biggest lessons I learned while testing these systems is that anonymity is highly dependent on threat models.
None of these technologies are magical invisibility cloaks. User behavior, browser fingerprinting, metadata leakage, and operational security mistakes can still compromise anonymity.
Video References
These videos provide excellent technical explanations and practical overviews of anonymous networking technologies.