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Full Description
Artificial Intelligence (AI) has revolutionized several sectors, with digital forensics being one that has been notably affected by its rapid advancement. AI brings previously unheard-of powers to this field, helping authorities examine large datasets, identify developments, and uncover digital evidence that is essential to cracking cybercrimes. Despite these promising developments, using AI in digital forensics presents problems. The complexity and dynamic nature of cyber-attacks are a significant challenge, demanding the ongoing adaptation of AI models to new attack strategies. This changing environment makes it difficult to create reliable and future-proof solutions. This book explores the advancements, applications, challenges, and solutions that AI brings to the realm of digital forensics.
Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges, and Solutions includes the latest applications and examples with real data making the book meaningful for readers. It is written in very simple language with each technology having its dedicated chapter that explains how it works and provides an example of a real-world application. Key points and a summary are provided at the end of each chapter to enable the readers to quickly review the major concepts as it presents a practical understanding, so the readers can be better equipped to handle AI-based tools with ease and efficiency. The book provides unconditional support to those who are making decisions by using massive data from their organization and applying the findings to real-world current business scenarios addressing the challenges associated with integrating AI into digital forensics and offering practical solutions. It also offers insights into the ethical use of AI technologies and guidance on navigating legal requirements and ensuring responsible and compliant practices.
This book caters to industry professionals from diverse backgrounds, including engineering, data science, computer science, law enforcement, and legal experts, fostering a holistic understanding of the subject along with providing practical insights and real-world examples.
Contents
1. Use Artificial Intelligence for Digital Forensics. 2. Challenges in Integrating AI into Digital Forensics. 3. Towards Open Standards for Systemic Complexity in Digital Forensics. 4. Identifying Patterns through Integration of Natural Language Processing and Semantic Web Technologies. 5. The Futuristic Approaches in Conversational AI for the Cloud Platform. 6. Harnessing the Power of Artificial Intelligence to Enhance Digital Forensics. 7. Analyzing Vast Datasets with Machine Learning. 8. Artificial Intelligence and Forensic Intelligence: Analyzing Social Behavior through Historical Data. 9. Identifying IOCs From Compromised Android Devices. 10. Technology Toold for Legal System: Understanding the Gaps and Enhancing the Capacity of the Stakeholders. 11. Future of Digital Forensics: Implications of Transparency and Accountability in Artificial Intelligence. 12. Legal and Ethical Imperatives for Transparency.
