CIF: SMALL: RUI: Novel Detection Approaches with Comprehensive Hybrid Intelligent Systems for Multimedia Forensics
Description
Machine learning and computational intelligence techniques for developing hybrid systems able to novel detection in multimedia forensics.
Multimedia forensics is increasingly becoming an important research area for protecting public safety and enhancing national security; steganalysis and forgery detection are becoming two active research areas, even as they are still in their inception. The shortage of comprehensive detection systems has severely impeded progress and practical applications in the field. This study will facilitate the work of forensic practitioners in criminal investigations and will deliver to the community benchmark datasets, performance evaluation standards and models, software design and the analysis toolkit in order to design and test new steganalysis/forgery detection system approaches.
Researchers
Funded by
NSF-USA
Total budget
320 000,00 €
Local budget
20 000,00 €
Keywords
Multimedia Forensics, Machine Learning
Start Date
2014-01-01
End Date
2017-12-01
Journal Articles
2016
(1 publication) - Koirala, S. and Sung, A.H. and Wang, H. and Ribeiro, B. and Liu, Q. , "RtpExtSteg: A Practical VoIP Network Steganography Exploiting RTP Extension Header", IEEE COMSOC MMTC Communications - Frontiers, vol. 11, pp. 66, 2016
Conference Articles
2011
(2 publications) - Qiao, M. and Sung, A.H. and Liu, Q. and Ribeiro, B. , "Locating Information-Hidding In MP3 AUDIO", in Int Conf Agents and Artificial Intelligence (ICAART), 2011
- Qiao, M. and Sung, A.H. and Liu, Q. and Ribeiro, B. , "A Novel Approach for Detection of Copy-Move Forgery", in The Fifth International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2011, pp. 44-47 , November 20-25, 2011 - Lisbon, Portugal, 2011