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Image Source Identification Using Convolutional Neural Networks In Iot Environment, Yan Wang, Qindong Sun, Dongzhu Rong, Shancang Li, Li Da Xu Jan 2021

Image Source Identification Using Convolutional Neural Networks In Iot Environment, Yan Wang, Qindong Sun, Dongzhu Rong, Shancang Li, Li Da Xu

Information Technology & Decision Sciences Faculty Publications

Digital image forensics is a key branch of digital forensics that based on forensic analysis of image authenticity and image content. The advances in new techniques, such as smart devices, Internet of Things (IoT), artificial images, and social networks, make forensic image analysis play an increasing role in a wide range of criminal case investigation. This work focuses on image source identification by analysing both the fingerprints of digital devices and images in IoT environment. A new convolutional neural network (CNN) method is proposed to identify the source devices that token an image in social IoT environment. The experimental results …


Ranking Influential Nodes Of Fake News Spreading On Mobile Social Networks, Yunfei Xing, Xiwei Wang, Fang-Kwei Wang, Yang Shi, Wu He, Haowu Chang Jan 2021

Ranking Influential Nodes Of Fake News Spreading On Mobile Social Networks, Yunfei Xing, Xiwei Wang, Fang-Kwei Wang, Yang Shi, Wu He, Haowu Chang

Information Technology & Decision Sciences Faculty Publications

Online fake news can generate a negative impact on both users and society. Due to the concerns with spread of fake news and misinformation, assessing the network influence of online users has become an important issue. This study quantifies the influence of nodes by proposing an algorithm based on information entropy theory. Dynamic process of influence of nodes is characterized on mobile social networks (MSNs). Weibo (i.e., the Chinese version of microblogging) users are chosen to build the real network and quantified influence of them is analyzed according to the model proposed in this paper. MATLAB is employed to simulate …


Technological Innovation: A Case Study Of Mobile Internet Information Technology Applications In Community Management, Wan Su, Xiaobo Xu, Yangchun Li, Francisco J. Martinez-Lopez, Ling Li Jan 2018

Technological Innovation: A Case Study Of Mobile Internet Information Technology Applications In Community Management, Wan Su, Xiaobo Xu, Yangchun Li, Francisco J. Martinez-Lopez, Ling Li

Information Technology & Decision Sciences Faculty Publications

The Mobile Internet Information Technology MIIT has been widely accepted as one of the most promising technologies in the next decades, having various applications and different value positions. However, few published studies explore and examine the effects of MIIT on community management. Based on the Dramaturgical Theory, this article uses a case study method to get an insightful understanding of MIIT. This article found that the MIIT was used by grid organizations to realize technological innovation and change organizational routines and structures, but eventually it was shaped by them, so this new technology was only able to embed itself into …