scholarly journals Binary similarity measures for fingerprint analysis of qualitative metabolomic profiles

Metabolomics ◽  
2018 ◽  
Vol 14 (3) ◽  
Author(s):  
Anita Rácz ◽  
Filip Andrić ◽  
Dávid Bajusz ◽  
Károly Héberger
Keyword(s):  
Similarity Measures ◽  
Fingerprint Analysis ◽  
Binary Similarity Measures

scholarly journals Improved binary similarity measures for software modularization

2017 ◽  
Vol 18 (8) ◽  
pp. 1082-1107 ◽  
Author(s):  
Rashid Naseem ◽  
Mustafa Bin Mat Deris ◽  
Onaiza Maqbool ◽  
Jing-peng Li ◽  
Sara Shahzad ◽  
...  
Keyword(s):  
Similarity Measures ◽  
Software Modularization ◽  
Binary Similarity Measures

scholarly journals Image Steganalysis with Binary Similarity Measures

2005 ◽  
Vol 2005 (17) ◽  
Author(s):  
İsmail Avcıbaş ◽  
Mehdi Kharrazi ◽  
Nasir Memon ◽  
Bülent Sankur
Keyword(s):  
Similarity Measures ◽  
Image Steganalysis ◽  
Binary Similarity Measures

scholarly journals Analisis Perbandingan Ketahanan Metode Steganografi LSB dan BPCS Menggunakan Metode Steganalisis Binary Similarity Measures

2012 ◽  
Vol 3 (1) ◽  
Author(s):  
Ngurah Agus Sanjaya ER ◽  
I Putu Edy Suardiyana Putra
Keyword(s):  
Detection Probability ◽  
Similarity Measures ◽  
Test Results ◽  
Least Significant Bit ◽  
Bit Plane ◽  
Binary Similarity Measures

Abstract. Least significant bit (LSB) and Bit Plane Complexity Segmentation (BPCS) are two of the most commonly used steganoraphy methods. LSB is relatively simple and can be quickly implemented while BPCS offers an advantage in the capacity of storing hidden messages. These two methods are considered good if and only if the hidden messages in each of them are robust from a steganalysis implementation. This research specifically performs the robustness checks for both methods by using the Binary Similarity Measures (BSM). BSM measures the correlations between bits in a bit-plane to detect the message hidden in an image. Our test results show that the larger the size of the message hidden by using the BPCS method, the smaller is its detection probability. On the contrary, the size of the hidden message is directly proportional to its probability of being discovered in the LSB method. Keywords: steganography, Least Significant Bit, Bit Plane Complexity Segmentation, steganalysis, Binary Similarity Measures Abstrak. Least Significant Bit (LSB) dan Bit Plane Complexity Segmentation (BPCS) merupakan dua metode steganografi yang umum digunakan. LSB dapat diimplementasikan secara cepat dan sederhana sedangkan BPCS menawarkan kelebihan dalam penampungan kapasitas pesan rahasia. Agar dapat dikatakan sebagai metode steganografi yang baik maka kedua metode tersebut harus dapat mempertahankan pesan yang disisipkan dari serangan metode steganalisis. Penelitian yang dilakukan bertujuan untuk mengetahui ketahanan dari masing-masing metode menggunakan metode steganalisis Binary Similarity Measures (BSM). BSM mengukur korelasi antar bit-bit dalam suatu bit-plane untuk mengetahui keberadaan pesan pada citra. Hasil penelitian mengungkapkan bahwa semakin besar pesan yang disisipkan pada suatu citra menggunakan metode BPCS, maka kemungkinan terdeteksinya pesan akan berkurang. Hal ini berbanding terbalik dengan metode LSB dimana ukuran pesan yang disisipkan berbanding lurus dengan kemungkinan terdeteksinya pesan tersebut.Kata Kunci: Steganografi, Least Significant Bit, Bit Plane Complexity Segmentation, Steganalisis, Binary Similarity Measures

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