Big Data Paradigm in Cybercrime Investigation
- Title
- Big Data Paradigm in Cybercrime Investigation
- Creator
- Harchandani R.; Bansal P.; Jain S.; Sondhi J.K.; Jacob L.
- Description
- 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.
- Source
- Artificial Intelligence for Cyber Defense and Smart Policing, pp. 91-109.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- 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
- Rights
- Restricted Access
- Relation
- ISBN: 978-100381553-2; 978-103217093-0
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Harchandani R.; Bansal P.; Jain S.; Sondhi J.K.; Jacob L., “Big Data Paradigm in Cybercrime Investigation,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18125.