Artificial intelligence applied to computer forensics

@inproceedings{Hoelz2009ArtificialIA,
  title={Artificial intelligence applied to computer forensics},
  author={Bruno W. P. Hoelz and C{\'e}lia Ghedini Ralha and Rajiv Geeverghese},
  booktitle={ACM Symposium on Applied Computing},
  year={2009}
}
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. [] Key Method 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…
View on ACM
doi.org
52 Citations
Highly Influential Citations
1
Background Citations
13
Methods Citations
8

Figures and Tables from this paper

52 Citations

ARTIFICIAL INTELLIGENCE IN FORENSIC SCIENCE : INVASION OR REVOLUTION?

The present review provided an overview of AI, conversing its current and probable forthcoming applications in forensic science.

Artificial Intelligence Applied to digital Email for forensic Application

The use of Artificial Intelligence in computer forensics is described through the development of a multiagent system and span email tracking retrieve useful attributes from spam emails.

An application of case-based reasoning with machine learning for forensic autopsy

Intelligence in Digital Forensics Process

This study builds on existing works in the literature to propose the use of clustering and classification machine learning algorithms on evolving database files to achieve intelligence in the digital investigation process and finally come up with a comprehensive block diagram as a general-purpose framework for intelligent forensic investigation.

Building an Intelligent Assistant for Digital Forensics

AUDIT is presented, a novel automated disk investigation toolkit that supports investigations conducted by non-expert (in IT and disk technology) and expert investigators and a new hierarchical disk investigation model which leads AUDIT to systematically examine the disk in its totality based on its physical and logical structures.

Machine learning forensics to gauge the likelihood of fraud in emails

  • K. MaheswariS. Bushra
  • Computer Science
    2021 6th International Conference on Communication and Electronics Systems (ICCES)
  • 2021
A machine learning forensics prototype to predict the fraudulent emails in advance to avoid victimization of cyber-crimes is proposed and can greatly aid the automation in digital forensic investigation for the prediction of fraudulent emails.

Applications of Machine Learning in Cyber Forensics

The objective is to explore the possible applications of machine learning (ML) in cyberForensics and to discuss the various research issues, the solutions of which will serve out to provide better predictions for cyber forensics.

ARTIFICIAL INTELLIGENCE BASED DIGITAL FORENSICS FRAMEWORK

An Artificial Intelligence Based Digital Forensics Framework is proposed in this paper to overcome above issues and require minimum user interaction and does majority of routine operations by intelligence acquired from training.

Data Reduction and Data Mining Framework for Digital Forensic Evidence: Storage, Intelligence, Review and Archive

A Digital Forensic Data Reduction and Data Mining Framework is proposed to provide a rapid triage, collection, intelligence analysis, review and storage methodology to support the various stages of digital forensic examinations.

College of Arts and Sciences Building an Intelligent Assistant for Digital Forensics Table of Contents

AUDIT is presented, a novel automated disk investigation toolkit that supports investigations conducted by non-expert (in IT and disk technology) and expert investigators and a new hierarchical disk investigation model which leads AUDIT to systematically examine the disk in its totality based on its physical and logical structures.
...

References

SHOWING 1-10 OF 29 REFERENCES

Case-Relevance Information Investigation: Binding Computer Intelligence to the Current Computer Forensic Framework

This paper proposes a highly automatic and efficient framework to provide the Case-Relevance information, by binding computer intelligence technology to the current computer forensic framework.

FACE: Automated digital evidence discovery and correlation

How to Reuse Knowledge about Forensic Investigations

A model able to organize forensic knowledge in a reusable way is proposed that may be used to train new personnel, to foster knowledge sharing among detective communities and to expose collected information to quality assessment by third parties.

Unification of Digital Evidence from Disparate Sources (Digital Evidence Bags)

Unique file identification in the National Software Reference Library

  • S. Mead
  • Computer Science
    Digit. Investig.
  • 2006

Breaking the Performance Wall: The Case for Distributed Digital Forensics

It is inevitable that forensic investigation tools will have to employ the distributed resources of a pool of computer systems in order to make investigations manageable.

Multiagent systems: a modern approach to distributed artificial intelligence

This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence and will be a useful reference not only for computer scientists and engineers, but for social scientists and management and organization scientists as well.

An Intelligent Distributed System for Strategic Decision Making

A general framework for building intelligent distributed strategic decision making systems which integrates advances in both distributed decision making and Distributed Artificial Intelligence is presented and a multi-blackboard system, ARISTOTE, is described which is aimed at helping corporate managers address the feasibility and coherence of a plan of actions.

Artificial Intelligence: A Modern Approach

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications.…

Collaborating software: Blackboard and multi-agent systems & the future

Examining collaborating software from both perspectives provides insights into the nature of collaboration, reveals unresolved problems in integrating disparate contributions, and underscores issues in coordinating collaborative activities.