Confluence of AI, Machine, and Deep Learning in Cyber Forensics

Digital investigations can involve evidence scattered across devices, data formats, and enormous collections of activity. Confluence of AI, Machine, and Deep Learning in Cyber Forensics brings together research on how computational methods can help investigators collect, examine, and interpret that evidence. The result is a scholarly, multi-author look at the meeting point of artificial intelligence and forensic practice.

Where AI meets digital evidence

The volume explores how machine-learning and deep-learning techniques may assist with evidence analysis, acquisition, preservation, and the processing of large datasets. Rather than treating AI as a single tool, its chapters consider a range of methods and investigative problems, including recognizing patterns in complex data and supporting more efficient forensic workflows.

From mobile devices to malware analysis

Mobile forensics receives attention through discussions of investigative processes, extraction approaches, tools, and vulnerabilities in iOS and Android environments. Other topics in the collection include machine learning for cyber forensics, deep-learning approaches, malware detection and classification, network-anomaly analysis, blockchain in cybercrime and cyberattacks, and fake-news detection using deep learning and natural language processing.

A research collection, not a single-method manual

Because this is an edited collection, the chapters approach the subject from different angles. Together, they connect data analytics and automated analysis with the practical demands of digital investigation, while also considering challenges in developing AI applications and software.

Who may find it useful?

Forensic investigators, cyber-forensics practitioners, researchers, academics, and students in computer science, information technology, and related fields may find this volume relevant. It offers a broad research-oriented view of how AI techniques are being applied to the changing work of examining digital evidence.