Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Data Paradigm in Cybercrime Investigation Description An account of the resource Big Data is a field that provides a wide range of ways for analyzing and retrieving data as well as hidden patterns of complex and large data collections. As cybercrime and the danger of data theft increase, there is a greater demand for a more robust algorithm for cyber security. Big Data concepts and monitoring are extremely useful in discovering patterns of illegal activity on the internet and informing the appropriate authorities. This chapter investigates privacy and security in the context of Big Data, proposing a paradigm for Big Data privacy and security. It also investigates a classification of Big Data-driven privacy and security of each algorithm. In this section, we first define Big Data in the contexts of police, criminology, and criminal psychology. The chapter will look at how it might be used to analyze concerns that these paradigms confront carefully. We provide a conceptual approach for assisting criminal investigations, as well as a variety of application situations in which Big Data may bring fresh insights into detecting facts regarding illegal incidents. Finally, this chapter will explore the implications, limits, and effects of Big Data monitoring in cybercrime investigations. 2024 selection and editorial matter, S. Vijayalakshmi, P. Durgadevi, Lija Jacob, Balamurugan Balusamy, and Parma Nand; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Harchandani R.; Bansal P.; Jain S.; Sondhi J.K.; Jacob L. Source A related resource from which the described resource is derived Artificial Intelligence for Cyber Defense and Smart Policing, pp. 91-109. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003251781-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003251781-7</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190227294&amp;doi=10.1201%2F9781003251781-7&amp;partnerID=40&amp;md5=fb9d42bde369e439551e1b7adacd915d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190227294&amp;doi=10.1201%2f9781003251781-7&amp;partnerID=40&amp;md5=fb9d42bde369e439551e1b7adacd915d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100381553-2; 978-103217093-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Harchandani R., Department of Data Science, Christ University, Pune, Lavasa, India; Bansal P., Department of Data Science, Christ University, Pune, Lavasa, India; Jain S., Department of Data Science, Christ University, Pune, Lavasa, India; Sondhi J.K., Department of Data Science, Christ University, Pune, Lavasa, India; Jacob L., Department of Data Science, Christ University, Pune, Lavasa, India