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The Fundamentals and Potential for Cybersecurity of Big Data in the Modern World

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Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 919))

Abstract

Information security is essential for any company that uses technology in its daily routine. Cybersecurity refers to the practices employed to ensure the integrity, confidentiality, and availability of information, consisting of a set of tools, risk management approaches, technologies, and methods to protect networks, devices, programs, and data against attacks or non-access authorized. Big Data becomes a barrier for network security to understand the true threat landscape, considering effective solutions that differ from reactive “collect and analyze” methods, improving security at a faster pace. Through Machine Learning it is possible to address unknown risks including insider threats, being an advanced threat analytics technology. Big data analytics, in conjunction with network flows, logs, and system events, can discover irregularities and suspicious activities, can deploying an intrusion detection system, which given the growing sophistication of cyber breaches. Cybersecurity is fundamental pillars of digital experience, so organizations’ digital initiatives must consider, from the beginning, the requirements in cyber and privacy, concerning the security and privacy of this data. So, Big data analytics plays a huge role in mitigating cybersecurity breaches caused by the most diverse means, guaranteeing data security and privacy, or supporting policies for secure information sharing in favor of cybersecurity. Therefore, this chapter has the mission and objective of providing an updated review and overview of Big Data, addressing its evolution and fundamental concepts, showing its relationship with Cybersecurity on the rise as well as approaching its success, with a concise bibliographic background, categorizing and synthesizing the potential of technology.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering (FEEC), University of Campinas—UNICAMP, Av. Albert Einstein, 400, Barão Geraldo, Campinas, SP, Brazil

    Reinaldo Padilha França, Ana Carolina Borges Monteiro, Rangel Arthur & Yuzo Iano

Authors
  1. Reinaldo Padilha França
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  2. Ana Carolina Borges Monteiro
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  3. Rangel Arthur
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  4. Yuzo Iano
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Corresponding author

Correspondence to Reinaldo Padilha França .

Editor information

Editors and Affiliations

  1. Sultan Moulay Slimane University, Beni Mellal, Morocco

    Yassine Maleh

  2. Institute for Communication Systems, University of Surrey, Guildford, UK

    Mohammad Shojafar

  3. Charles Darwin University, Darwin, NT, Australia

    Mamoun Alazab

  4. Chouaib Doukkali University El Jadida, El Jadida, Morocco

    Youssef Baddi

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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França, R.P., Monteiro, A.C.B., Arthur, R., Iano, Y. (2021). The Fundamentals and Potential for Cybersecurity of Big Data in the Modern World. In: Maleh, Y., Shojafar, M., Alazab, M., Baddi, Y. (eds) Machine Intelligence and Big Data Analytics for Cybersecurity Applications. Studies in Computational Intelligence, vol 919. Springer, Cham. https://doi.org/10.1007/978-3-030-57024-8_3

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