Cluster Node Sequence Number Adjustment for Replay Attack Prevention
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Solution Overview
Problem
Network clusters are vulnerable to replay attacks and packet tampering, which can impact cluster functionality and security, as existing methods do not effectively prevent these malicious attacks.
Innovation Solution
The implementation of unique sequence numbers generated based on previous communications and node events, adjusted by delta values corresponding to average communication frequencies, are included in packets to prevent replay attacks. These sequence numbers are verified by receiving nodes using hash-based message authentication codes to ensure packet integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sequence numbers are used to prevent replay attacks, then security against malicious attacks is improved, but device complexity increases due to sequence number generation and verification mechanisms
Solution Approach 1:
The system pre-generates sequence numbers and stores them in a sequence number pool before they are needed for communication. This preliminary preparation allows the system to quickly assign sequence numbers without complex real-time generation, reducing the computational burden during actual packet transmission and verification
Solution Approach 2:
A dedicated sequence number management component acts as an intermediary between the packet transmission system and the sequence number storage. This component handles the complex tasks of sequence number generation, validation, and pool management, isolating the complexity from the main communication protocol and making the system more modular and manageable
2Adaptability or versatility
If delta values based on communication frequency are used to adjust sequence numbers, then adaptability to varying communication rates is improved, but measurement precision requirements increase to accurately determine average communication frequency
Solution Approach 1:
The system automatically monitors its own communication patterns and calculates the average communication frequency based on historical data from its previous transmissions and receptions. This self-measurement approach eliminates the need for external precision measurement tools, as the system uses its own operational history to determine appropriate delta values for sequence number adjustment
Solution Approach 2:
Instead of requiring precise measurement of every single communication event, the system uses a simplified averaging approach that considers only the essential communication frequency trends. This partial measurement strategy provides sufficient adaptability for most scenarios without demanding extreme measurement precision, balancing accuracy with implementation simplicity
Data Source
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AI summary
Disclosed herein includes a system, a method, and a device for preventing replay attacks in a cluster. A first node in the cluster having a plurality of nodes can receive an indication of a node event. The first node can access a first sequence number from a storage corresponding to a previous communication between the plurality of nodes. The first node can adjust the first sequence number by a delta indicative of an average number of communications between the plurality of nodes in the cluster in a determined time period to generate a second sequence number. The first node can transmit a packet including the second sequence number to the plurality of nodes in the cluster. The second sequence number can be used by the plurality of nodes to reset a starting sequence number for communications between the plurality of nodes to prevent replay attacks in the cluster.