# Analysis of Information Availability for Seismic and Volcanic Monitoring Systems: A Review
## 5 Conclusions  
This study has identified some factors that affect the availability of information in seismic-volcanic monitoring systems. Therefore, proposed solutions at the software level and network infrastructure may focus on data recovery mechanisms through traffic control points in primary nodes. Additionally, a new protocol may be developed to add redundancy in data transmission networks and increase the availability of information in acquisition and processing systems. In this literature review, we mentioned that several studies applied new methodologies such as machine learning [31; 41], deep learning [49; 66; 72], convolutional neural networks [36; 61], among others. Mainly, they have focused on the processing and post-processing of feature data and the interpretation of seismic signals. However, we are mainly looking for files or packets that correspond to information gap characteristics, which can be identified by values close to the instrument's reference noise response value in each channel during the seismic data frame arrival sequence. In addition to this, values above the conversion thresholds of data-loggers and acquisition systems. Another specific objective of this study will be creating a database that gathers these gap identifiers, finds their correlation, and thereby applies an algorithm for information retrieval on demand. In other words, it can be pre-established by user requirements in SDCs. This literature review has demonstrated that this issue has not yet been considered as a comprehensive proposal or solution applicable to instrumental networks interacting in transmission media, acquisition, and processing systems for seismic and volcanic monitoring centers. There are also no specific solutions to recover data gaps caused by instability or interruption in seismic-volcanic monitoring networks. Without the information available, all the scientific advances for acquisition and processing that have been developed are not effective in reducing response times to early warning emissions during data acquisition and processing. Therefore, we presented research that can supply strategy development to improve the availability of information in seismic-volcanic networks. As a result of this work, it has been identified that the loss of information that occurs due to vulnerabilities between instrumental networks and acquisition systems has not been considered an important issue. A comprehensive method has not yet been found to solve seismic and volcanic monitoring problems related to data failures, breaches, transmission interruptions, and others focused on information security strategies to increase the availability of data acquisition and processing systems in different SDCs. This previously mentioned issue is due to an ideal communication system that guarantees information availability. Currently available studies allude to the significant investment and resources in the network infrastructure to deal with delays during the transfer and recovery of information. Therefore, information security mechanisms based on algorithms and protocols which focus on increasing availability in instrumental networks offer a novel approach to enhance acquisition and processing systems. Moreover, suggested mechanisms may contribute to the optimization of current network management, diagnosis, and failure identification systems. As a consequence, the time response in the early warnings of seismic and volcanic events can be reduced. Finally, the implementation of this approach can reduce operational costs related to semi-automatic processes for data recovery. In future works in light of this review, the construction of a data set has been proposed that contains a classification of files obtained from monitoring stations of a real network made up of different sensors of speed, acceleration, deformation, geochemistry, and visualization cameras with continuous data in 3 months of the year 2021.