supported by the National Natural Science Foundation of China(Nos.62102450,62272478,and 62202496).
Recently proposed steganalysis methods based on the local optimality of motion vector prediction(MVP)indicate that the existing HEVC(high efficiency video coding)motion vector(MV)domain video steganography algorithms ...
supported in part by the National Natural Science Foundation of China(Nos.62202234,62401270);the China Postdoctoral Science Foundation(No.2023M741778);the Natural Science Foundation of Jiangsu Province(Nos.BK20240706,BK20240694).
Generative image steganography is a technique that directly generates stego images from secret infor-mation.Unlike traditional methods,it theoretically resists steganalysis because there is no cover image.Currently,th...
supported in part by the Zhejiang Provincial Natural Science Foundation of China under Grant LQ20F020004;in part by the National College Student Innovation and Research Training Program under Grant 202313283002.
With the rapid advancement of Voice over Internet Protocol(VoIP)technology,speech steganography techniques such as Quantization Index Modulation(QIM)and Pitch Modulation Steganography(PMS)have emerged as significant c...
supported by the National Natural Science Foundation of China(Grant No.62172059);Scientific Research Fund of Hunan Provincial Education Department of China(Grant No.22A0200);Scientific Research Fund of Hunan Provincial Natural Science Foundation(Grant No.2023JJ60257)。
The rapid development of the Internet has led to the widespread dissemination of manipulated facial images,significantly impacting people's daily lives.With the continuous advancement of Deepfake technology,the genera...
supported by the National Natural Science Foundation of China(No.62372062)。
Three-dimensional (3D) point cloud information hiding algorithms are mainly concentrated in the spatialdomain. Existing spatial domain steganalysis algorithms are subject to more disturbing factors during the analysis...
supported by the National Key Research and Development Program of China(No.2022YFB3102900);the National Natural Science Foundation of China(Nos.62172435,62202495 and 62002103);Zhongyuan Science and Technology Innovation Leading Talent Project of China(No.214200510019);Key Research and Development Project of Henan Province(No.2211321200);the Natural Science Foundation of Henan Province(No.222300420058).
The rapid development of the internet and digital media has provided convenience while also posing a potential risk of steganography abuse.Identifying steganographer is essential in tracing secret information origins ...
This advanced paper presents a new approach to improving image steganography using the Ant Colony Optimization(ACO)algorithm.Image steganography,a technique of embedding hidden information in digital photographs,shoul...
National Natural Science Foundation of China (Grant Nos. 62172435, 62202495, and U2336206);National Key Research and Development Program of China (Grant No. 2022 YFB3102900);Zhongyuan Science and Technology Innovation Leading Talent Project, China (Grant No. 214200510019);Key Research and Development Project of Henan Province (Grant No. 221111321200)。
Existing deep learning-based steganography detection methods utilize convolution to automatically capture and learn steganographic features, yielding higher detection efficiency compared to manually designed steganogr...
the National Natural Science Foundation of China(Grant Nos.62272478,62202496,61872384).
Among steganalysis techniques,detection against MV(motion vector)domain-based video steganography in the HEVC(High Efficiency Video Coding)standard remains a challenging issue.For the purpose of improving the detectio...
supported by the Ministry of Education,Culture,Research and Technology,The Republic of Indonesia,and Institut Teknologi Sepuluh Nopember.
Hiding secret data in digital multimedia has been essential to protect the data.Nevertheless,attackers with a steganalysis technique may break them.Existing steganalysis methods have good results with conventional Mac...