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  • Artificial Intelligence for Cybersecurity

    Series series Computer Science (R0)
    This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity.This book also provides insight into the ... Leer más

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  • Malware Analysis Using Artificial Intelligence and Deep Learning

    Series series Computer Science (R0)
    This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely ... Leer más

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    with Practical Examples in MOA

    Series series Adaptive Computation and Machine Learning series
    A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, ... Leer más

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  • Silicon Valley Cybersecurity Conference

    Third Conference, SVCC 2022, Virtual Event, August 17–19, 2022, Revised Selected Papers

    Series series Springer Nature Proceedings Computer Science
    This open access book constitutes refereed proceedings of the Third Conference on Silicon Valley Cybersecurity Conference, SVCC 2022, held as virtual event, in August 17–19, 2022.The 8 full papers included in this book were carefully reviewed and selected from 10 submissions. The contributions are divided into the following thematic blocks: Malware Analysis; Blockchain and Smart Contracts; Remote ... Leer más

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  • Machine Learning Algorithms for Data Scientists: An Overview

    Machine Learning models are widely used in different fields such as Artificial Intelligence, Business, Clinical and Biological Sciences which includes self-driving cars, predictive models, disease prediction, genome sequencing, spam filtering, product recommendation, fraud detection and image recognition . It has gained importance due to its capabilities of handling large volume of data, ... Leer más

    $5.00 USD o gratis con Kobo Plus

  • Deep Learning with Hadoop

    Distributed Deep Learning with Large-Scale Data

    de Dipayan Dev ...
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  • Data-Intensive Computing

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  • Protecting Privacy through Homomorphic Encryption

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    Series series Mathematics and Statistics (R0)
    This book summarizes recent inventions, provides guidelines and recommendations, and demonstrates many practical applications of homomorphic encryption. This collection of papers represents the combined wisdom of the community of leading experts on Homomorphic Encryption. In the past 3 years, a global community consisting of researchers in academia, industry, and government, has been working ... Leer más

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  • Advances on P2P, Parallel, Grid, Cloud and Internet Computing

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    Series series Springer Nature Proceedings excluding Computer Science
    This book presents the latest, innovative research findings on P2P, Parallel, Grid, Cloud, and Internet Computing. It gathers the Proceedings of the 12th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, held on November 8–10, 2017 in Barcelona, Spain. These computing technologies have rapidly established themselves as breakthrough paradigms for solving complex ... Leer más

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  • Detection of Intrusions and Malware, and Vulnerability Assessment

    13th International Conference, DIMVA 2016, San Sebastián, Spain, July 7-8, 2016, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 13th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2016, held in San Sebastián, Spain, in July 2016.The 19 revised full papers and 2 extended abstracts presented were carefully reviewed and selected from 66 submissions. They present the state of the art in intrusion detection, malware ... Leer más

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  • Big Data Analytics and Knowledge Discovery

    18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings

    Edición de Sanjay Madria, Takahiro Hara ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, held in Porto, Portugal, September 2016.The 25 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and ... Leer más

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  • Deployable Machine Learning for Security Defense

    First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes selected papers from the First International Workshop on Deployable Machine Learning for Security Defense, MLHat 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online.The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions. The papers are organized in the following topical sections: understanding the adversaries; ... Leer más

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