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Home / Volume 6, Issue 2 / Digital Forensics in Intellectual Property Theft and Ethical… Open access · CC BY-NC 4.0
Research Paper Volume 6 Issue 2 144 - 159 March 29, 2024

Digital Forensics in Intellectual Property Theft and Ethical Concerns

Lead author · Corresponding
Ishaan Deepak Joshi
Student at International Forensic Sciences, India
Abstract

In this article, we will delve into the ever-changing world of intellectual property (IP) theft in the digital age and the important role that digital forensics plays in tackling this issue. This comprehensive content provides a detailed analysis of different forms of IP theft, such as patents, copyrights, trademarks, and trade secrets. It also highlights the vulnerabilities associated with each type. We will explore the various reasons why individuals engage in IP theft, which can range from seeking financial gain to gaining a competitive edge. Additionally, we will delve into the repercussions that IP theft can have on individuals, businesses, and entire economies. We will explore the fundamental principles and methods of digital forensics, shedding light on its development and the tools and technologies used in investigations. Furthermore, it explores the latest developments in areas like Artificial Intelligence (AI), blockchain, and Internet of Things (IoT) forensics, providing valuable insights into how these advancements could impact the protection of intellectual property. In addition, we delve into the legal and ethical considerations surrounding digital forensics practices. We also provide recommendations on how to improve intellectual property protection. By examining these key themes, we highlight the importance of digital forensics in protecting intellectual property assets and fostering innovation and competitiveness in the digital era.

Type
Research Paper
Information
International Journal of Legal Science and Innovation, Volume 6, Issue 2, Page 144 - 159
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLSI 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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