scholarly journals Hybrid Chaos Communication With Code Index Modulation

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 183133-183141 ◽  
Author(s):  
Ang Zhou ◽  
Shilian Wang ◽  
Junshan Luo ◽  
Guojiang Xia
Keyword(s):  
Chaos Communication ◽  
Index Modulation

Elektronische Akten: Nutzung ohne Gewähr?

2019 ◽  
Vol 24 (03) ◽  
pp. 36-37
Author(s):  
Guntram Doelfs
Keyword(s):  
Chaos Communication

An der sicheren Nutzung elektronischer Patientendaten wird sich entscheiden, wie schnell die Digitalisierung in deutschen Kliniken vorankommt. Nachdem IT-Experten auf dem „35C3“ Chaos Communication Congress enorme Sicherheitspannen offenlegten, ist die Branche verschnupft – und der Patient noch mehr verunsichert.

Compressive Sensing Audio Watermarking dengan Metode LWT dan QIM

2018 ◽  
Vol 6 (3) ◽  
pp. 405
Author(s):  
IRMA SAFITRI ◽  
NUR IBRAHIM ◽  
HERLAMBANG YOGASWARA
Keyword(s):  
Wavelet Transform ◽  
Compressive Sensing ◽  
Audio Watermarking ◽  
Quantization Index Modulation ◽  
Computationally Efficient ◽  
Black And White ◽  
Additional Information ◽  
Audio Files ◽  
Index Modulation ◽  
Mp3 Compression

ABSTRAKPenelitian ini mengembangkan teknik Compressive Sensing (CS) untuk audio watermarking dengan metode Lifting Wavelet Transform (LWT) dan Quantization Index Modulation (QIM). LWT adalah salah satu teknik mendekomposisi sinyal menjadi 2 sub-band, yaitu sub-band low dan high. QIM adalah suatu metode yang efisien secara komputasi atau perhitungan watermarking dengan menggunakan informasi tambahan. Audio watermarking dilakukan menggunakan file audio dengan format *.wav berdurasi 10 detik dan menggunakan 4 genre musik, yaitu pop, classic, rock, dan metal. Watermark yang disisipkan berupa citra hitam putih dengan format *.bmp yang masing-masing berukuran 32x32 dan 64x64 pixel. Pengujian dilakukan dengan mengukur nilai SNR, ODG, BER, dan PSNR. Audio yang telah disisipkan watermark, diuji ketahanannya dengan diberikan 7 macam serangan berupa LPF, BPF, HPF, MP3 compression, noise, dan echo. Penelitian ini memiliki hasil optimal dengan nilai SNR 85,32 dB, ODG -8,34x10-11, BER 0, dan PSNR ∞.Kata kunci: Audio watermarking, QIM, LWT, Compressive Sensing. ABSTRACTThis research developed Compressive Sensing (CS) technique for audio watermarking using Wavelet Transform (LWT) and Quantization Index Modulation (QIM) methods. LWT is one technique to decompose the signal into 2 sub-bands, namely sub-band low and high. QIM is a computationally efficient method or watermarking calculation using additional information. Audio watermarking was done using audio files with *.wav format duration of 10 seconds and used 4 genres of music, namely pop, classic, rock, and metal. Watermark was inserted in the form of black and white image with *.bmp format each measuring 32x32 and 64x64 pixels. The test was done by measuring the value of SNR, ODG, BER, and PSNR. Audio that had been inserted watermark was tested its durability with given 7 kinds of attacks such as LPF, BPF, HPF, MP3 Compression, Noise, and Echo. This research had optimal result with SNR value of 85.32 dB, ODG value of -8.34x10-11, BER value of 0, and PSNR value of ∞.Keywords: Audio watermarking, QIM, LWT, Compressive Sensing.

NOMA With Index Modulation for Uplink URLLC Through Grant-Free Access

2019 ◽  
Vol 13 (6) ◽  
pp. 1249-1257 ◽  
Author(s):  
Seda Dogan ◽  
Armed Tusha ◽  
Huseyin Arslan
Keyword(s):  
Free Access ◽  
Index Modulation
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