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Scouting the Juncture of Internet of Things (IoT), Deep Learning, and Cybercrime: Powering Legal Perspectives on Advanced Data Analytics

Scouting the Juncture of Internet of Things (IoT), Deep Learning, and Cybercrime: Powering Legal Perspectives on Advanced Data Analytics

Bhupinder Singh, Christian Kaunert
Copyright: © 2025 |Pages: 36
ISBN13: 9798369389447|ISBN13 Softcover: 9798369389454|EISBN13: 9798369389461
DOI: 10.4018/979-8-3693-8944-7.ch012
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MLA

Singh, Bhupinder, and Christian Kaunert. "Scouting the Juncture of Internet of Things (IoT), Deep Learning, and Cybercrime: Powering Legal Perspectives on Advanced Data Analytics." Utilizing Generative AI for Cyber Defense Strategies, edited by Noor Zaman Jhanjhi, IGI Global, 2025, pp. 363-398. https://doi.org/10.4018/979-8-3693-8944-7.ch012

APA

Singh, B. & Kaunert, C. (2025). Scouting the Juncture of Internet of Things (IoT), Deep Learning, and Cybercrime: Powering Legal Perspectives on Advanced Data Analytics. In N. Jhanjhi (Ed.), Utilizing Generative AI for Cyber Defense Strategies (pp. 363-398). IGI Global. https://doi.org/10.4018/979-8-3693-8944-7.ch012

Chicago

Singh, Bhupinder, and Christian Kaunert. "Scouting the Juncture of Internet of Things (IoT), Deep Learning, and Cybercrime: Powering Legal Perspectives on Advanced Data Analytics." In Utilizing Generative AI for Cyber Defense Strategies, edited by Noor Zaman Jhanjhi, 363-398. Hershey, PA: IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8944-7.ch012

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Abstract

The internet of things (IoT) and deep learning technologies has revolutionized the cyber-crimes investigation which providing law enforcement with unprecedented tools for data analytics. The seamless incorporation of IoT devices and deep learning algorithms has ushered in a new era in cyber-crimes investigation. IoT devices, ranging from smart home appliances to wearables, generate vast amounts of data. Deep learning algorithms, with their ability to discern complex patterns and anomalies, enable law enforcement to sift through this data efficiently. Real-time threat detection, forensic analysis, and predictive policing are among the myriad applications empowering investigators to stay one step ahead of cybercriminals. This chapter deeply dives into the diverse arena of the legal discourse surrounding the integration of IoT and deep learning in the context of cyber-crimes investigation.

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