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Enhancing Deepfake Detection:Proactive Forensics Techniques Using Digital Watermarking
《Computers, Materials & Continua》2025年第1期73-102,共30页Zhimao Lai Saad Arif Cong Feng Guangjun Liao Chuntao Wang 
supported by the National Fund Cultivation Project from China People’s Police University(Grant Number:JJPY202402);National Natural Science Foundation of China(Grant Number:62172165).
With the rapid advancement of visual generative models such as Generative Adversarial Networks(GANs)and stable Diffusion,the creation of highly realistic Deepfake through automated forgery has significantly progressed...
关键词：Deepfake proactive forensics digital watermarking TRACEABILITY detection techniques 
A dual benchmarking study of facial forgery and facial forensics
《CAAI Transactions on Intelligence Technology》2024年第6期1377-1397,共21页Minh Tam Pham Thanh Trung Huynh Thanh Tam Nguyen Thanh Toan Nguyen Thanh Thi Nguyen Jun Jo Hongzhi Yin Quoc Viet Hung Nguyen 
QuỹĐổi mới sáng tạo Vingroup,Grant/Award Number:VINIF.2020.ThS.BK.10。
In recent years,visual facial forgery has reached a level of sophistication that humans cannot identify fraud,which poses a significant threat to information security.A wide range of malicious applications have emerge...
关键词：BENCHMARK deepfake digital forensics visual facial forgery 
Online Vehicle Forensics Method of Responsible Party for Accidents Based on LSTM-BiDBN External Intrusion Detection
《Journal of Shanghai Jiaotong university(Science)》2024年第6期1161-1168,共8页LIU Wen XU Jianxin YANG Genke CHEN Yuanfang 
the National Key R&D Program of China(No.2017YFA60700602)。
Vehicle data is one of the important sources of traffic accident digital forensics.We propose a novel method using long short-term memory-deep belief network by binary encoding(LSTM-BiDBN)controller area network ident...
关键词：digital forensics deep belief network(DBN) long short-term memory(LSTM) binary encoding controller area network identifier(CAN ID) responsible party 
IMTNet:Improved Multi-Task Copy-Move Forgery Detection Network with Feature Decoupling and Multi-Feature Pyramid
《Computers, Materials & Continua》2024年第9期4603-4620,共18页Huan Wang Hong Wang Zhongyuan Jiang Qing Qian Yong Long 
supported and founded by the Guizhou Provincial Science and Technology Project under the Grant No.QKH-Basic-ZK[2021]YB311;the Youth Science and Technology Talent Growth Project of Guizhou Provincial Education Department under Grant No.QJH-KY-ZK[2021]132;the Guizhou Provincial Science and Technology Project under the Grant No.QKH-Basic-ZK[2021]YB319;the National Natural Science Foundation of China(NSFC)under Grant 61902085;the Key Laboratory Program of Blockchain and Fintech of Department of Education of Guizhou Province(2023-014).
Copy-Move Forgery Detection(CMFD)is a technique that is designed to identify image tampering and locate suspicious areas.However,the practicality of the CMFD is impeded by the scarcity of datasets,inadequate quality a...
关键词：Image copy-move detection feature decoupling multi-scale feature pyramids passive forensics 
Metallurgical Forensics: Investigating a Superheater Tube Failure in Industrial Process Plants
《World Journal of Engineering and Technology》2024年第3期742-758,共17页Kok Toong Leong 
A metallurgical forensic investigation was conducted to determine the cause of a failed superheater tube. Analysis techniques by Visual Examination, Energy Dispersive X-ray Analysis, Mechanical Testing and Metallograp...
关键词：Superheater Tubes Thermal Degradation Corrosion-Erosion EMBRITTLEMENT Stress Rupture 
Source Camera Identification Algorithm Based on Multi-Scale Feature Fusion
《Computers, Materials & Continua》2024年第8期3047-3065,共19页Jianfeng Lu Caijin Li Xiangye Huang Chen Cui Mahmoud Emam 
This work was funded by the National Natural Science Foundation of China(Grant No.62172132);Public Welfare Technology Research Project of Zhejiang Province(Grant No.LGF21F020014);the Opening Project of Key Laboratory of Public Security Information Application Based on Big-Data Architecture,Ministry of Public Security of Zhejiang Police College(Grant No.2021DSJSYS002).
The widespread availability of digital multimedia data has led to a new challenge in digital forensics.Traditional source camera identification algorithms usually rely on various traces in the capturing process.Howeve...
关键词：Source camera identification camera forensics convolutional neural network feature fusion transformer block graph convolutional network 
Factors affecting forensic electric network frequency matching-A comprehensive study
《Digital Communications and Networks》2024年第4期1121-1130,共10页Guang Hua Qingyi Wang Dengpan Ye Haijian Zhang Guoyin Wang Shuyin Xia 
funded by National Natural Science Foundation of China(No.62272347,62072343,and 61802284);National Key Research Development Program of China(No.2019QY(Y)0206).
The power system frequency fluctuations could be captured by digital recordings and extracted to compare with a reference database for forensic timestamp verification.It is known as the Electric Network Frequency(ENF)...
关键词：Digital forensics Audio forensics Data authentication Timestamp verification Electric network frequency criterion 
Detecting Double Mixed Compressed Images Based on Quaternion Convolutional Neural Network被引量：1
《Chinese Journal of Electronics》2024年第3期657-671,共15页Hao WANG Jinwei WANG Xuelong HU Bingtao HU Qilin YIN Xiangyang LUO Bin MA Jinsheng SUN 
supported by the National Natural Science Foundation of China (Grant Nos.62072250,61772281,61702235,U1636117,and U1804263)。
Detection of color images that have undergone double compression is a critical aspect of digital image forensics.Despite the existence of various methods capable of detecting double Joint Photographic Experts Group(JP...
关键词：Color image forensics JPEG JPEG2000 Mixed double compression Quaternion convolutional neural network 
A hyperspectral unmixing approach for ink mismatch detection in unbalanced clusters
《Journal of Information and Intelligence》2024年第2期177-190,共14页Faryal Aurooj Nasir Salman Liaquat Khurram Khurshid Nor Muzlifah Mahyuddin 
Detecting ink mismatch is a significant challenge in verifying the authenticity of documents,especially when dealing with uneven ink distribution.Conventional imaging methods frequently fail to distinguish visually si...
关键词：k-means clustering Gaussian mixture model(GMM) Hyper spectral imaging(HSI) iVision handwritten hyperspectral images dataset(HHID) Document forensics 
An Adaptive Hate Speech Detection Approach Using Neutrosophic Neural Networks for Social Media Forensics
《Computers, Materials & Continua》2024年第4期243-262,共20页Yasmine M.Ibrahim Reem Essameldin Saad M.Darwish 
Detecting hate speech automatically in social media forensics has emerged as a highly challenging task due tothe complex nature of language used in such platforms. Currently, several methods exist for classifying hate...
关键词：Hate speech detection whale optimization neutrosophic sets social media forensics 
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