Digital Forensics AI: Evaluating, Standardizing and Optimizing Digital Evidence Mining Techniques (original) (raw)

A comprehensive analysis of the role of AI and ML in modern digital forensics and incident response

Forensic Science International, 2024

In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and Machine Learning (ML) stands as a transformative technology, poised to amplify the efficiency and precision of digital forensics investigations. However, the use of ML and AI in digital forensics is still in its nascent stages. As a result, this paper gives a thorough and in-depth analysis that goes beyond a simple survey and review. The goal is to look closely at how AI and ML techniques are used in digital forensics and incident response. This research explores cutting-edge research initiatives that cross domains such as data collection and recovery, the intricate reconstruction of cybercrime timelines, robust big data analysis, pattern recognition, safeguarding the chain of custody, and orchestrating responsive strategies to hacking incidents. This endeavour digs far beneath the surface to unearth the intricate ways AI-driven methodologies are shaping these crucial facets of digital forensics practice. While the promise of AI in digital forensics is evident, the challenges arising from increasing database sizes and evolving criminal tactics necessitate ongoing collaborative research and refinement within the digital forensics profession. This study examines the contributions, limitations, and gaps in the existing research, shedding light on the potential and limitations of AI and ML techniques. By exploring these different research areas, we highlight the critical need for strategic planning, continual research, and development to unlock AI’s full potential in digital forensics and incident response. Ultimately, this paper underscores the significance of AI and ML integration in digital forensics, offering insights into their benefits, drawbacks, and broader implications for tackling modern cyber threats.

"The Evolving Roles and Applications of Artificial Intelligence in Digital Forensics"

International Journal of All Research Education and Scientific Methods, 2021

Today it is globally known that it is a modern era of Artificial Intelligence. There is a great impact of Artificial Intelligence on the society as we are surrounded by technology. It is being observed that in Today's time, Artificial Intelligence has turned out to be technically friendly due to increasing demand in the Tech Industry. Artificial intelligence may greatly increase the efficiency of the existing economy. But it may have an even larger impact by serving as a new general-purpose "method of invention" that can reshape the nature of the innovation process and the organization of R&D. Artificial Intelligence holds the ability to search, accumulate, analyse, manipulate and make decisions based on interpretations done. Digital Forensics is now adopting this technology to spot the patterns of online security attacks and threats that can be caused to the user browsing online on servers. These patterns may include Browsing History of servers, Credit Checks, Purchasing Histories, Online Payments and Transactions made by the user etc. To secure the users from various cyber threats and attacks we need to move to a new Tech Gateway for Cyber Forensics-"Artificial Intelligence". Today various Government Organizations like Police Cyber Cell, Joint Cipher Bureau, CBI Cyber Cell etc. are standing on the bleeding fringe of AI. The current globalization and technological advancements have meant that individual users, companies and organizations frequently need to adapt their internal cyber structure and operating cyber processes, to demonstrate efficiency and effectiveness of AI, especially when considering aspects that are beyond Tech Crimes, such as Cyber Hacking, User Account Penetration etc. To cope with that, this work proposes an alternative to model the evolution of AI in the field of Cyber Forensics. This paper highlights the role of Artificial Intelligence particularly in field of Digital Forensics, its application in different areas of Digital Forensic Processes and statistical facts relevant to this domain.

Intelligent Methods in Digital Forensics: State of the Art

Lecture Notes in Networks and Systems

This paper contains a review of modern intelligent methods’ applications for digital forensics. One of the main problems of digital forensics, which was investigated by authors, is related to the fact that a huge volume of data needs to be analysed for evidence of crime. The primary aim of this work is to improve this challenging forensic process through application of intelligent methods for analysis of digital evidences. The desired outcome of this work is to encourage advancing these methods in a forensic science discipline.