Satellite communications have historically played a vital role in a variety of industries, including maritime communications. The marine communication environment is exceedingly complicated, and extracting the characteristics of communication equipment signals is difficult. This research proposes a method for extracting satellite signal fingerprint characteristics based on the maritime complex communication environment. To create the signal fingerprint feature vector, the marginal spectral entropy is determined using the HHT (Hilbert-Huang transform) time-frequency analysis approach. Furthermore, by merging the Mahalanobis distance approach with the EEMD (ensemble empirical mode decomposition) algorithm, this study enhances it. The improved EEMD algorithm decomposes the original signal using EEMD, calculates the Mahalanobis distance between each IMF (intrinsic mode function) component and the raw data, optimizes the adaptive threshold using MPA (marine predators algorithm), and then analyzes the IMF components and redundant IMF components. It was decided to eliminate superfluous IMF components. Finally, this article mimics the Iridium satellite signal. The results of the experiments suggest that using this strategy minimizes the computational cost of the next step in fingerprint feature extraction while ensuring the accuracy of signal fingerprint feature recognition.

In the field of marine communication, with the rapid development of the Internet of Things, big data, blockchain, and other new-generation information technology, marine information security is gradually being attached to more and more coastal countries, and marine information technology has ushered in epoch-making development opportunities. However, marine communication networks are open, and marine equipment is vulnerable to attacks on communication systems. On the one hand, a malicious adversary can intercept and analyze information, obtain relevant data with high probability, and even obtain the identity information of the equipment. On the other hand, attackers can also maliciously inject false information. At the same time, it is difficult for the existing marine information security technology to guarantee the confidentiality and authenticity of information simultaneously, which will bring substantial potential hidden dangers to the development of the ocean. We propose a multitarget authentication and key exchange protocol for secure communication. Our protocol assigns complex cryptographic operations to servers, thus balancing the system’s security and efficiency. The secret is divided into multiple subsecrets using the secret sharing feature, and the subsecret information is used to manage the identity credentials of resource-constrained devices. Then, after successful authentication, the server reassigns the subsecret information of the device to achieve the dynamic generation of identity credentials. Meanwhile, a multitarget authentication scheme is proposed based on recovering secrets. In addition, device extension measures are provided to replace or increase devices. Finally, well-established cryptographic assumptions are used to prove the protocol’s security. Simulation results verify the effectiveness of the protocol in multiobjective authentication.

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