Data Science and Security: Proceedings of IDSCS 2021

A scholarly volume published within the Lecture Notes in Networks and Systems series. The primary focus of the text is the intersection of data science and computational security, highlighting how these fields drive socioeconomic growth and digital reliability. Included materials feature a preface and table of contents that list various research papers covering topics like deep learning, blockchain, and privacy-preserving machine learning. Furthermore, the sources provide a detailed look at a specific study on semantic text summarization, which utilizes domain-based ontology and advanced algorithms to extract relevant information from large datasets. Short biographies of the international editors are also provided, illustrating the collaborative, global nature of the research presented. Overall, the text serves as a comprehensive record of modern advancements in intelligent systems and secure data processing.

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