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Machine Learning in Image Steganalysis
, 2012 Steganography is the art of communicating a secret message, hiding the very existence of a secret message. This is typically done by hiding the message within a non-sensitive document. Steganalysis is the art and science of detecting such hidden messages.
Vrusias, Bogdan, Schaathun, Hans Georg
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CAAI Transactions on Intelligence Technology, Volume 10, Issue 5, Page 1269-1290, October 2025.Abstract Life expectancy has improved with new‐age technologies and advancements in the healthcare sector. Though artificial intelligence (AI) and the Internet of Things (IoT) are revolutionising smart healthcare systems, security of the healthcare data is always a concern.
Shaiju Panchikkil +4 more
wiley +1 more source
Topological Data Analysis as Image Steganalysis Technique
, 2018 Image Steganography is the technique of hiding sensitive data (secrete message) inside cover images in a way that no suspicion occurs to attackers, while steganalysis is the technique of detecting the embedded data by unauthorized persons.
Jassim, Sabah A. +5 more
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Computational intelligence in steganalysis environment [PDF]
, 2008 This paper presents gives a consolidated view of digital media steganalysis from the perspective of computational intelligence (CI). The environment of digital media steganalysis can be divided into three (3)domains which are image steganalysis, audio ...
Samsudin, Azman, Din, Roshidi
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CAAI Transactions on Intelligence Technology, Volume 10, Issue 5, Page 1422-1445, October 2025.ABSTRACT Medical images play a crucial role in diagnosis, treatment procedures and overall healthcare. Nevertheless, they also pose substantial risks to patient confidentiality and safety. Safeguarding the confidentiality of patients' data has become an urgent and practical concern.
Mohamed Meselhy Eltoukhy +3 more
wiley +1 more source
TESOL Quarterly, Volume 59, Issue 2, Page 874-906, June 2025.Abstract The purpose of this study is to analyze the grammatical complexity features of international teaching assistants' (ITAs) mock‐teaching presentations and to compare the distributions of these features to those found in the Oral English Proficiency Test (a local ITA assessment), university classroom teaching, conversation, and academic writing ...
Heesun Chang, Amin Raeisi‐Vanani
wiley +1 more source
On Security Notions for Steganalysis
, 2005 There have been some achievements in steganalysis recently. Many people have been making strides in steganalysis. They have approached steganalysis from different angles; from information theory to complexity theory. Anderson gave a possibility that there is a provable secure steganographic system, but there had not been complexity theoretical ...
Kisik Chang +5 more
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Modified Algorithm for Steganalysis [PDF]
, 2016 This paper proposes a modified algorithm for steganalysis based on data compression. The experimental results verify that the proposed steganalysis can detect the altered images with high ...
Zhelezov, Stanimir; Konstantin Preslavsky University of Shumen
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Wavelet‐Based Texture Mining and Enhancement for Face Forgery Detection
IET Biometrics, Volume 2025, Issue 1, 2025.Due to the abuse of deep forgery technology, the research on forgery detection methods has become increasingly urgent. The corresponding relationship between the frequency spectrum information and the spatial clues, which is often neglected by current methods, could be conducive to a more accurate and generalized forgery detection.
Xin Li +4 more
wiley +1 more source
CoRR, 2017 7 pages, 4 figures, 3 tables, 2016 1st International Conference on New Research Achievements in Electrical and Computer Engineering, https://en.civilica.com/Paper-CBCONF01-CBCONF01_0107=Calibrated-Audio-Steganalysis ...
Hamzeh Ghasemzadeh +1 more
openaire +3 more sources