The maximum matching degree sifting algorithm for steganography pretreatment applied to IoT-Reference-Cited by-同舟云学术

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The maximum matching degree sifting algorithm for steganography pretreatment applied to IoT

Published:2017-08-18 Issue:14 Volume:77 Page:18203-18221
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Li Huifeng,Hu Liang,Chu Jianfeng,Chi Ling,Li Hongtu^ORCID

Funder

European Seventh Framework Program (FP7)

National Natural Science Foundation of China

National Sci-Tech Support Plan of China

National Key R&D Plan of China

Youth Science Foundation of Jilin Province of China

Youth Sci-Tech Innovation Leader and Team Project of Jilin Province of China

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s11042-017-5075-1/fulltext.html

Reference40 articles.

1. Amin R, Kumar N, Biswas GP, Iqbal R, Chang V (2016) A light weight authentication protocol for IoT-enabled devices in distributed cloud computing environment[J]. Futur Gener Comput Syst. doi: 10.1016/j.future.2016.12.028

2. Atamli AW, Martin A. (2014) Threat-based security analysis for the internet of things. In Secure Internet of Things (SIoT), 2014 International Workshop on, pp. 35-43

3. Avcibas I, Memon N, Sankur B (2002) Steganalysis using image quality metrics[C]. IEEE Trans Image Process 12(2):221–229

4. Aydogdu I, Abualrub T, Siap I (2015) On double-struck capital Z(2)Double-Struck capital Z(2)[u]-additive codes[J]. Int J Comput Math 92(9):1806–1814

5. Bairagi, Anupam Kumar; Khondoker, Rahamatullah; Islam, Rafiqul. An efficient steganographic approach for protecting communication in the Internet of Things (IoT) critical infrastructures[C]. Inf Secur J, p 1–16, 2016; ISSN: 19393555, E-ISSN: 19393547; doi: 10.1080/19393555.2016.1206640 ; Publisher: Taylor and Francis Inc.

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