Information Forensics and Security: A quarter-century-long journey

Year: 2023

Type: article

Abstract: Information forensics and security (IFS) is an active R&D area whose goal is to ensure that people use devices, data, and intellectual properties for authorized purposes and to facilitate the gathering of solid evidence to hold perpetrators accountable. For over a quarter century, since the 1990s, the IFS research area has grown tremendously to address the societal needs of the digital information era. The IEEE Signal Processing Society (SPS) has emerged as an important hub and leader in this area, and this article celebrates some landmark technical contributions. In particular, we highlight the major technological advances by the research community in some selected focus areas in the field during the past 25 years and present future trends.

Source: IEEE Signal Processing Magazine

DOI: 10.1109/msp.2023.3275319

Authors: Mauro Barni, Patrizio Campisi, Edward J. Delp, Gwenaël Doërr, Jessica Fridrich, Nasir Memon, Fernando Pérez-González, Anderson Rocha, Luisa Verdoliva, Min Wu

Institutions: University of Siena, Roma Tre University, Purdue University West Lafayette, Binghamton University, New York University, Universidade de Vigo, Universidade Estadual de Campinas (UNICAMP), University of Naples Federico II, University of Maryland, College Park

Language: English

Topic: Digital Media Forensic Detection

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: bronze

Funders: National Science Foundation, American Association for the Advancement of Science, Princeton University, University of Maryland, European Commission, Fundação de Amparo à Pesquisa do Estado de São Paulo, Technische Universität München, Xunta de Galicia, Defense Advanced Research Projects Agency, Graduate School, University of Maryland, HORIZON EUROPE Framework Programme, European Regional Development Fund, Agencia Estatal de Investigación, Institute for Advanced Study, Technische Universität München, NextGenerationEU

OpenAlex ID: W4384937769