Abstract
Secure and anonymous routing is required in many underwater acoustic network applications such as marine military. However, the characteristics of underwater acoustic networks cause existing secure...
Highlights
Research on underwater acoustic networks (UANs) has attracted significant attention due to its potential application in environmental monitoring, resource investigation, disaster prevention, and so on.[1,2,3,4] UANs usually include underwater nodes, surface repeater, ship-based receiving stations, satellites, and ground stations
In a routing request (RREQ; response) message, a random number is introduced in the fields of hops, which is used by the source node to protect its location privacy
After the destination node opens the trap door successfully, it computes whether equation (14) is true based on QIDS and the information of signature t Á P, u, v and further authenticates the identity of the source node
Summary
Research on underwater acoustic networks (UANs) has attracted significant attention due to its potential application in environmental monitoring, resource investigation, disaster prevention, and so on.[1,2,3,4] UANs usually include underwater nodes, surface repeater, ship-based receiving stations, satellites, and ground stations. Underwater activities, and some nodes will fail due to energy depletion or hardware fault, so the network topology of UANs usually changes dynamically. All those characteristics result in terrestrial-based communication protocols and are either inapplicable or inefficient for UANs, and UANs call for a new communication protocol. Based on the signature scheme, we realize two-way authentication between source and destination node pair as well as resolve the problem of key escrow in UANs. we present a trap-door scheme for route messages, which achieves anonymity of communication nodes to the intermediate nodes in routing path. In section ‘‘Experiment and conclusion,’’ we evaluate the performance through simulations and make a conclusion
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More From: International Journal of Distributed Sensor Networks
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