PENYANDIAN DATA TEKS MENGGUNAKAN ALGORITMA CIPHER FEED-BACK DAN CHAOTIC SKEW TENT MAP

  • Anita M Sonbay(1)
    Universitas Nusa Cendana
  • Adriana Fanggidae(2*)
    Universitas Nusa Cendana
  • Kornelis Letelay(3)
    Universitas Nusa Cendana
  • (*) Corresponding Author
Keywords: text encryption, ciphers feed-back, chaos skew tent map, session keys

Abstract

Security for documents that contain confidential text and important for a company, institution, or organization from disorders irresponsible organisation is a necessity or a major requirement that must be done, so we need a software that can protect these vital documents. The combination of algorithms Chiper Feed-back (CFB), Chaos Skew Tent Map (CSTM), and the initial value generation techniques with Session Keys capable of encrypting the text properly. Tests conducted on 26 files doc, docx and txt where each test will be analyzed the correlation, standard deviation and variance, as well as the histogram. Testing is done to the file doc, docx, and txt with a size ≤ 35 kb, 30-60 kb, 61-80 kb and > 80 kb. The test results obtained by the value of the average correlation = 0.163326411, standard deviation = 1.068,070, variance = 1.550.358,492, and the ciphertext histogram that visually looks uniform, making it difficult to analyze the statistical analysis of the character or key.

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References

[1] Martin, K., 2012, Everyday Cryptography. Oxford University Press.
[2] Ye, Ruisong dan Gou, Weichuang., 2013, A Chaos-based Image Encryption Scheme Using Mulltimodal Skew Tent Map, http://www.cisjournal.org/journalofcomputing/archive /vol4no10/vol4no10, 10 Oktober 2013, diakses tanggal 23 Mei 2014.
[3] Munir, R., 2012, Security Analysis of Selective Image Encryption Algorithm Based on Chaos and CBC-like Mode, International Conference on Telecommunication Systems, Services, and

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Published
2017-10-31
How to Cite
[1]
A. Sonbay, A. Fanggidae, and K. Letelay, “PENYANDIAN DATA TEKS MENGGUNAKAN ALGORITMA CIPHER FEED-BACK DAN CHAOTIC SKEW TENT MAP”, jicon, vol. 5, no. 2, pp. 12-20, Oct. 2017.
Section
Articles

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