
tensorproxPrice(SN91)
Details tensorprox (SN91) Price information (USD)
The current real-time price of SN91 is $4.64. In the past 24 hours, SN91 has traded between $4.18 and $4.76, showing strong market activity. The all-time high of SN91 is $6.04, and the all-time low is $0.3373.
From a short-term perspective, the price change of SN91 over the past 1 hour is
tensorprox (SN91) Market Information
tensorprox (SN91) Today's Price
The live price of SN91 today is $4.64, with a current market cap of $434.040K. The 24-hour trading volume is 42K. The price of SN91 to USD is updated in real time.
tensorprox (SN91) Price History (USD)
What is TENSORPROX (SN91)?
When is the right time to buy SN91? Should I buy or sell SN91 now?
Before deciding whether to buy or sell SN91, you should first consider your own trading strategy. Long-term traders and short-term traders follow different trading approaches. LBank’s SN91 technical analysis can provide you with trading references.
Future price trend of SN91
What will the value be? You can use our price prediction tool to conduct short-term and long-term price forecasts for SN91.
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How to buy TENSORPROX (SN91)
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SN91 Resources
To learn more about SN91, consider exploring other resources such as the whitepaper, official website, and other published information:
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TENSORPROX (SN91) FAQ
What is TensorProx (SN91) within the Bittensor ecosystem?
TensorProx (SN91) is a specialized decentralized cybersecurity subnet operating on the Bittensor network. While many subnets focus on artificial intelligence, SN91 provides Cybersecurity-as-a-Service, specifically functioning as a decentralized Man-in-the-Middle Firewall. Its primary purpose is to protect web infrastructure from high-impact Layer 3 to Layer 7 DDoS attacks by utilizing a distributed network of miners and validators to neutralize threats.
Who is the development team behind the TensorProx project?
The project is developed by Shugo (Shugo LLC). The name "Shugo" is derived from the Japanese word for "guardian," reflecting the team's core mission to build a decentralized defense layer for the web. They focus on creating a resilient infrastructure where a global network of nodes can collaborate to protect digital assets from sophisticated cyber threats.
How does the decentralized Scrubbing Center function?
In traditional networking, a scrubbing center is a centralized hub where malicious traffic is filtered before reaching a server. TensorProx decentralizes this concept by leveraging a global network of nodes to "clean" traffic. This distributed approach ensures that malicious data packets are identified and removed across multiple points, providing a more robust and scalable defense mechanism than centralized alternatives.
Where can users trade the SN91 token and what is its supply structure?
The SN91 token is the specific asset for the TensorProx subnet within the Bittensor Dynamic TAO ecosystem. It is primarily traded on the LBank exchange and specialized decentralized exchanges (DEXs). Mirroring the scarcity model of Bitcoin and Bittensor (TAO), the SN91 token has a maximum supply of 21,000,000.
What are the core technical components and requirements for mining on the network?
Miners require a setup typically running Ubuntu 22.04 and Python 3.10. The architecture consists of three main elements: the "King" (the target server being protected), the "Moat" (the miner's filtering node/firewall), and "Traffic Generators" (Tgens). Validators use Tgens to simulate attacks, testing the miner's defensive capabilities. For security, validators use a command whitelist-agent for limited SSH access, ensuring they can only execute pre-approved commands to verify performance without compromising the miner's machine.
How does the protocol determine rewards and performance scores for participants?
Rewards are calculated using a multi-factor performance function that balances throughput, filtering accuracy, and latency. The protocol rewards miners who can handle high volumes of traffic while accurately dropping malicious packets and maintaining low latency for legitimate traffic. Participants can increase their incentive scores and earnings by scaling their bandwidth and maintaining high performance standards during validator-led attack simulations.



