Security and Privacy

Encryption and Data Protection

  • End-to-End Encryption: The Kumo Network employs advanced cryptographic protocols such as AES-256 for symmetric encryption and RSA-4096 for asymmetric encryption. This ensures that data remains secure from the moment it leaves the content provider until it reaches the end-user, with no possibility of interception or tampering in transit.

  • Zero-Knowledge Proofs: The network utilizes zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge) to validate transactions and content delivery. This allows nodes to verify the correctness of computations without learning any information beyond the validity of the statement itself, enhancing privacy and reducing the risk of data leaks.

  • Homomorphic Encryption: Kumo implements Fully Homomorphic Encryption (FHE) schemes, allowing computations to be performed on encrypted data without decrypting it first. This enables advanced features like privacy-preserving analytics, where content providers can gain insights into content performance without accessing raw user data.

DDoS Mitigation

Distributed Nature: The decentralized architecture of Kumo spreads traffic across numerous nodes, making it inherently resistant to DDoS attacks. If one node is targeted, traffic can be seamlessly redirected to other nodes, ensuring continuous service.

Adaptive Rate Limiting: Each node implements an intelligent rate-limiting system that dynamically adjusts based on network conditions and historical patterns. This system uses machine learning algorithms to distinguish between legitimate traffic spikes and potential attack vectors, adjusting thresholds in real time.

Sybil Attack Prevention: Kumo employs a multi-faceted approach to prevent Sybil attacks:

  1. Stake-based participation: Nodes must stake a significant amount of Kumo tokens to participate, making it economically unfeasible to create multiple malicious nodes.

  2. Reputation system: Nodes build up reputation scores based on their performance and longevity in the network. Higher reputation scores are required for participation in critical network functions.

  3. Proof-of-Unique-Human: For certain high-stakes operations, the network may require proof of unique human identity, leveraging decentralized identity solutions.

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