Cloud Computing and Security: Second International by Xingming Sun, Alex Liu, Han-Chieh Chao, Elisa Bertino

By Xingming Sun, Alex Liu, Han-Chieh Chao, Elisa Bertino

This quantity set LNCS 10039 and LNCS 10040 constitutes the completely refereed post-conference complaints of the second one overseas convention on Cloud Computing and safety, ICCCS 2016, held in Nanjing, China, in the course of July 29-31, 2016.

The ninety seven papers of those volumes have been conscientiously reviewed and chosen from 272 submissions. The papers are equipped in topical sections resembling: info Hiding, Cloud Computing, Cloud protection, IOT purposes, Multimedia purposes, Multimedia protection and Forensics.

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Additional info for Cloud Computing and Security: Second International Conference, ICCCS 2016, Nanjing, China, July 29-31, 2016, Revised Selected Papers, Part I

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Finally, a0i and a1i are set to be ri , and ti is set to be pi − 2ri . For the next step, the image I is encrypted unit by unit according to the Paillier algorithm. That is, E(pi ) = E(ti + a0i + a1i ) = E(ti )E(a0i )E(a1i ). (1) When all the units are encrypted, the encrypted units comprise the encrypted image EI. On the other hand, the data hider H uses the public key pk to encrypt a message m by Paillier encryption. Denote the encrypted message as E(m). 4 Data Embedding Phase In data embedding phase, the data hider H embeds the encrypted message E(m) into the encrypted image EI bit by bit.

Cambridge University Press, Cambridge (2009) 7. : Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004) 8. : Color image analysis by quaternion-type moments. J. Math. Imaging Vis. 51(1), 124–144 (2015) 9. : Steganalysis of least significant bit matching using multi-order differences. Secur. Commun. Netw. cn 2 Management School, Jinan University, Guangzhou, China School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China 4 Department of Electronic Science, Huizhou University, Huizhou, China Abstract.

75) to resist noise adding attack than other algorithms [10, 15]. Table 3. 8907 Filtering is one of the classical attacks. Since the embedded watermark can be removed by the filter with different sizes, Table 4 gives the experimental results of extracted watermarks from the watermarked images attacked by median filtering with different sizes. Table 4. 8999 In addition, Table 5 shows the experimental results of the extracted watermarks from the watermarked images distorted by Butterworth low-pass filtering with cut-off frequency 50 Hz and different fuzzy radii N, which illustrates that the watermark can be extracted in the whole test range.

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