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Overlapped Connected Dominating Set for Big Data Security

Transmission and aggregation of big data form important foundations for model training of artificial intelligence and machine learning. However, the transmission of big data faces many security threats. In distributed networks, network entities carrying data may be physically compromised, leading to internal attacks. In order to deal with the threat of internal attacks, we propose the overlapped connected dominating set (OCDS) for multipath transmission. The OCDS is constructed by distributed algorithms for distributed implementation. In this method, information is transmitted and compared through different paths to prevent compromised nodes from tampering. Simulation results show that this method can effectively defend against internal attacks including black hole attacks and selective forwarding attacks.