A maximum relevancy and minimum redundancy feature selection approach for median filtering forensics-Reference-Cited by-同舟云学术

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A maximum relevancy and minimum redundancy feature selection approach for median filtering forensics

Published:2020-05-11 Issue:29-30 Volume:79 Page:21743-21770
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Agarwal Aanchal,Gupta Abhinav^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-020-08994-4.pdf

Reference30 articles.

1. Aljawarneh S, Yassein MB, Talafha WA (2017) A resource-efficient encryption algorithm for multimedia big data. Multimedi Tools Appl 76(21):22703–22724. https://doi.org/10.1007/s11042-016-4333-y

2. Aljawarneh S, Yassein MB, Talafha WA (2018) A multithreaded programming approach for multimedia big data: encryption system. Multimed Tools Appl 77 (9):10997–11016. https://doi.org/10.1007/s11042-017-4873-9

3. Aljawarneh SA, Moftah RA, Maatuk AM (2016) Investigations of automatic methods for detecting the polymorphic worms signatures. Future Gener Comput Syst 60(C):67–77. https://doi.org/10.1016/j.future.2016.01.020

4. Bas P, Furon T (2007) Break our watermarking system. http://bows2.ec-lille.fr/2nd

5. Bas P, Filler T, Pevný T (2011) Break our steganographic system: the ins and outs of organizing boss. In: Filler T, Pevný T, Craver S, Ker A (eds) Information hiding. Springer, Berlin, pp 59–70

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advances in Forensic Sedimentology;Technologies to Advance Automation in Forensic Science and Criminal Investigation;2022

2. A Median Filtering Forensics CNN Approach Based on Local Binary Pattern;Proceedings of the 11th International Conference on Computer Engineering and Networks;2021-11-12

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