The blackboard model of problem solving
AI Magazine
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Readings in agents
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Blackboard Architectures and Applications
Blackboard Architectures and Applications
Understanding Agent Systems
Digital Investigation: The International Journal of Digital Forensics & Incident Response
FACE: Automated digital evidence discovery and correlation
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Unique file identification in the National Software Reference Library
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Selective and intelligent imaging using digital evidence bags
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Forensic feature extraction and cross-drive analysis
Digital Investigation: The International Journal of Digital Forensics & Incident Response
A hierarchical, objectives-based framework for the digital investigations process
Digital Investigation: The International Journal of Digital Forensics & Incident Response
An application of case-based reasoning with machine learning for forensic autopsy
Expert Systems with Applications: An International Journal
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To be able to examine large amounts of data in a timely manner in search of important evidence during crime investigations is essential to the success of computer forensic examinations. The limitations in time and resources, both computational and human, have a negative impact in the results obtained. Thus, better use of the resources available are necessary, beyond the capabilities of the currently used forensic tools. Herein, we describe the use of Artificial Intelligence in computer forensics through the development of a multiagent system and case-based reasoning. This system is composed of specialized intelligent agents that act based on the experts knowledge of the technical domain. Their goal is to analyze and correlate the data contained in the evidences of an investigation and based on its expertise, present the most interesting evidence to the human examiner, thus reducing the amount of data to be personally analyzed. The correlation feature helps to find links between evidences that can be easily overlooked by a human expert, specially due to the amount of data involved. This system has been tested using real data and the results were very positive when compared to those obtained by the human expert alone performing the same analysis.