Objective
The forensics investigation requirements are in direct conflict with the privacy rights of those whose actions are being investigated. At the same time, once the private data is exposed it is impossible to ‘undo’ its exposure effects should the suspect is found innocent! Therefore, there is a growing concern in the development of forensic investigation frameworks that respect privacy of the involved entities whiles only need-to-know data are exposed to the forensic investigator.
To the best of our knowledge, there is no model for privacy-respecting digital forensic investigation that is capable of considering different jurisdictions requirements and protects subjects' data privacy in accordance with search warrant permissions and collected data requirements. In this proposal, we offer development of a rule-processing engine that extracts privacy properties of collected data and investigation search warrant(s), detects conflicting or uncertain situations and labels collected data accordingly, and monitors and controls investigator access to collected data in accordance with the assigned labels. The proposed model is capable of parsing any privacy policy (to support different rules and regulations in different contexts) and labels any type of collected-data while it keeps the soundness of the investigation by not amending the source data.
The main contributions of this research are development of a formal language for capturing privacy properties of forensic investigation search warrant and collected data policies, devising objective criteria for comparing and contrasting privacy properties to detect potential conflicts or uncertain situations and making objective rulings, development of a practical strategy for labeling the collected data in accordance with privacy rulings, and innovation of a privacy-respecting forensics investigation controlling and monitoring engine.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2013-IIF
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
M5 4WT Salford
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.