scholarly journals A Robust MP3 Steganographic Method against Multiple Compressions Based on Modified Discrete Cosine Transform

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yunzhao Yang ◽  
Xiaowei Yi ◽  
Xianfeng Zhao ◽  
Jinghong Zhang
Keyword(s):  
Social Networking ◽  
Discrete Cosine Transform ◽  
Bit Error Rate ◽  
Error Rate ◽  
Social Networking Sites ◽  
Experimental Results ◽  
Covert Communication ◽  
Embedding Capacity ◽  
Strong Robustness ◽  
Almost All

MP3 appears in various social networking sites wildly, and it is very suitable to be applied for covert communication indeed. However, almost all social networking sites recompress the uploaded MP3 files, which leads to the ineffectiveness of the existing MP3 steganographic methods. In this paper, a robust MP3 steganographic algorithm is proposed with the ability of multiple compressions resistance. First, we discover a new embedding domain with strong robustness. The scalefactor bands of higher energy are applied as the embedding bands. The message bits are embedded by adjusting the position of the MDCT coefficients with the largest magnitude in the embedding bands. Besides, the embedding and extraction operations are realized in the process of MP3 decoding at the same time. Experimental results illustrate that our proposed method is of strong robustness against multiple MP3 compressions. The bit error rate is less than 1% at the MP3 bitrate of 320 kbps. It is worth mentioning that the proposed method is proved to be applicable to social networking sites, such as SoundCloud, for covert communication. Our method achieves a satisfactory level of embedding capacity, imperceptibility, and undetectability.

How Is the Personality of Facebook Customers?

2017 ◽  
pp. 191-229
Author(s):  
Juan Jose Delgado
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Online Survey ◽  
Primary Data ◽  
Clear Correlation ◽  
The People ◽  
Research Gap ◽  
Secondary Information ◽  
Almost All ◽  
The Way

This chapter claims to understand the implications of Cloninger´s psychobiological model of temperament in the people behaviour on social networking sites. This study uses secondary information as well as primary data. The author collected and analyzed an online survey with a sample of 365 individuals. The study contributed to bridging the research gap of the correlation between the Cloninger´s psychobiological model of temperament and people behaviour on SNSs. The main findings show that clear correlation exists between Cloninger´s psychobiological temperament dimensions and the way people interacts on Facebook. Mainly, temperament is affecting in almost all the areas that have been tested; Facebook affinity uses of Facebook, motives and barriers of using Facebook.

Social Networking among Library and Information Science Undergraduate Students

2015 ◽  
Vol 11 (3) ◽  
pp. 90-99 ◽  
Author(s):  
Onome Norah Alakpodia
Keyword(s):  
Social Networking ◽  
Undergraduate Students ◽  
Social Networking Sites ◽  
Information Science ◽  
Social Networking Site ◽  
Library And Information Science ◽  
State University ◽  
Chi Square ◽  
Significant Difference ◽  
Almost All

The purpose of this study was to examine social networking use among Library and Information Science students of the Delta State University, Abraka. In this study, students completed a questionnaire which assessed their familiarity with social networking sites, the purpose for which they use social networking site and their most preferred sites to use. Furthermore the study tested two hypotheses. The collected data were analyzed using descriptive statistics, t-test and chi square tests of significance. Results indicated that almost all of the sampled students were familiar with social networking and their most used site is Facebook. Findings also revealed that there is no significant difference in the usage of social networking sites by male and female LIS students and that there is significant relationship between the age of the students and social networking sites that they use.

scholarly journals Area-Efficient Early-Termination Technique for Belief-Propagation Polar Decoders

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1001
Author(s):  
Choi ◽  
Yoo
Keyword(s):  
Error Correction ◽  
Bit Error Rate ◽  
Error Rate ◽  
Belief Propagation ◽  
Early Termination ◽  
Experimental Results ◽  
Polar Codes ◽  
Termination Criterion ◽  
Area Efficient

Early-termination techniques for a belief-propagation (BP) decoder of polar codes can improve the decoding throughput by finishing a decoding iteration when an early-termination condition is satisfied. In the BP decoders, the early-termination condition plays an important role, as it affects decoding iteration savings. In this letter, an area-efficient early-termination criterion is proposed, which simplifies the previous threshold-based termination condition by completely eliminating redundant computations. According to the experimental results, the proposed structure for (1024, 512) polar codes can reduce 72.7%, 66.5%, and 59.7% of hardware resources without any degradation in the error-correction performance and decoding throughput compared to the previous threshold-based, information-BER (bit error rate)-based, and frozen-BER-based early-termination techniques, respectively.

scholarly journals Image Watermarking pada Citra Medis menggunakan Compressive Sensing berbasis Stationary Wavelet Transform

2020 ◽  
Vol 8 (1) ◽  
pp. 43
Author(s):  
YASQI HAFIZHANA ◽  
IRMA SAFITRI ◽  
LEDYA NOVAMIZANTI ◽  
NUR IBRAHIM
Keyword(s):  
Wavelet Transform ◽  
Compressive Sensing ◽  
Bit Error Rate ◽  
Error Rate ◽  
Image Watermarking ◽  
Extraction Process ◽  
Embedding Capacity ◽  
Stationary Wavelet Transform ◽  
Final Project ◽  
Ownership Rights

ABSTRAK Watermarking pada citra medis dilakukan untuk melindungi hak kepemilikan dan keaslian sebuah citra medis. Proses embedding dan extraction dirancang menggunakan metode Stationary Wavelet Transform (SWT) dan Statistical Mean Manipulation (SMM) untuk mengubah citra host menjadi sinyal sparse kemudian memasuki proses watermarking. Citra watermark dioptimasi dengan menggunakan metode Compressive Sensing (CS). Hasil akhir dari penelitian ini menunjukkan simulasi Image Watermarking dengan Bit Error Rate (BER) mendekati nilai nol dan PSNR lebih besar dari 40 dB, tanpa diberikan serangan. Penerapan Compressive Sensing menyebabkan nilai PSNR meningkat hingga 3,5 dB dan embedding capacity menjadi empat kali lipat lebih baik. Kata Kunci: Image watermarking, Telemedicine, Stationary Wavelet Transform, Statistical Mean Manipulation, Compressive Sensing. ABSTRACT Watermarking in medical images is carried out to protect ownership rights and authenticity of a medical image. The embedding and extraction process was designed using Stationary wavelet transform (SWT) and Statistical Mean Manipulation (SMM) methods to convert the host image into a sparse signal and then enter the watermarking process. The watermark image is optimized using the Compressive Sensing (CS) method. The final result of this final project shows the simulation of Image Watermarking with the Bit Error Rate (BER) approaching zero and PSNR greater than 40 dB, without being given an attack. The application of the Compressive Sensing pursuit will cause the PSNR increase up to 3.5 dB and embedding capacity four times better. Keywords: Image watermarking, Telemedicine, Stationary Wavelet Transform, Statistical Mean Manipulation, Compressive Sensing.

scholarly journals Investigatng The Social Impact of Social Networking Media on Teenagers From 13 to 19 Years Old in Oman

2015 ◽  
Vol 6 (1) ◽  
pp. 15
Author(s):  
Yousuf Salim AlHinai ◽  
Juhaina Alsabahi ◽  
Zahra AlWahaibi
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Social Impact ◽  
Arab World ◽  
Age Groups ◽  
Theory And Practice ◽  
The Social ◽  
Rapid Spread ◽  
Almost All ◽  
The Impact

The burst in the use of social networking sites such as MySpace, Facebook, Bebo and Friendster has brought many opportunities, changes and challenges into our world. The impact of this type of media can be social, psychological, and/or economic. For many societies, the social impact is a major concern since these technologies with their rapid spread have succeeded in influencing the attitudes of various groups of individuals. The role that social media played in the recent unrests in the Arab world is a clear example of such an impact. Oman, like all other countries, is also facing the same challenge. Among all other age groups in Oman, teenagers from 13 to 19 years old make up a major segment in the demographic structure of the country. Therefore, it is very important to study and understand the impact of the rapidly-growing social networking media on this group. The present research aims to contribute to this understanding by investigating the social impact of social networking media on teenagers in Oman. We survey teenagers’ use of and perceptions about these technologies, in addition to parents’ perceptions. By combining these two perspectives, this research aims to provide several contributions to both theory and practice. The results revealed that almost all teenagers (99%) agreed that the social networking sites are beneficial. They believe that using social networking sites does not impact their social behavior. 

scholarly journals A Novel AMR-WB Speech Steganography Based on Diameter-Neighbor Codebook Partition

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Junhui He ◽  
Junxi Chen ◽  
Shichang Xiao ◽  
Xiaoyu Huang ◽  
Shaohua Tang
Keyword(s):  
State Of The Art ◽  
Experimental Results ◽  
Covert Communication ◽  
Embedding Capacity ◽  
The Real ◽  
Speech Codec ◽  
Speech Steganography ◽  
Statistical Steganalysis ◽  
Better Than

Steganography is a means of covert communication without revealing the occurrence and the real purpose of communication. The adaptive multirate wideband (AMR-WB) is a widely adapted format in mobile handsets and is also the recommended speech codec for VoLTE. In this paper, a novel AMR-WB speech steganography is proposed based on diameter-neighbor codebook partition algorithm. Different embedding capacity may be achieved by adjusting the iterative parameters during codebook division. The experimental results prove that the presented AMR-WB steganography may provide higher and flexible embedding capacity without inducing perceptible distortion compared with the state-of-the-art methods. With 48 iterations of cluster merging, twice the embedding capacity of complementary-neighbor-vertices-based embedding method may be obtained with a decrease of only around 2% in speech quality and much the same undetectability. Moreover, both the quality of stego speech and the security regarding statistical steganalysis are better than the recent speech steganography based on neighbor-index-division codebook partition.

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