Optical exfiltration of data in physically isolated machines

• Grant number: 15/13876-7
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: November 01, 2015
• End date: October 31, 2016
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Diego de Freitas Aranha
• Grantee: Arthur Costa Lopes
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

With the advancement of computation in the last decades, organizations have begun to make extensive use of computers to store and exchange information, largely sensitive. The computer security area shows up increasingly essential to protect and prevent such data from leaking in many different ways. The concept of data exfiltration is the extraction of data from a closed network after malicious software has infiltrated such a network. In recent years, various forms of data leakage prevention have been adopted, including the isolation of a machine from any other network, or air-gapped. For these reasons the project aims to study new optical methods for data exfiltration and their efficiency and limitations, and possible preventions. Thus, the goal is to help organizations be able to protect data exfiltration and that activists be able to leak information efficiently to collect evidence and expose abuses.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

LOPES, ARTHUR COSTA; ARANHA, DIEGO F.; MORI, P; FURNELL, S; CAMP, O. Platform-agnostic Low-intrusion Optical Data Exfiltration. ICISSP: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY, v. N/A, p. 7-pg., 2017-01-01. (15/13876-7)