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A Novel Steganography Scheme Combining Coverless Information Hiding and Steganography

Journal of Information Hiding and Privacy Protection 2019年第1期1卷 43-48页

作者： Ruohan Meng Zhili Zhou Qi Cui Xingming Sun Chengsheng Yuan School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Jiangsu Engineering Centre of Network Monitoring Nanjing210044China Department of Electrical and computer Engineering University of WindsorWindsorONCanada N9B 3P4

At present,the coverless information hiding has been ***,due to the limited mapping relationship between secret information and feature selection,it is challenging to further enhance the hiding capacity of coverless information *** the same time,the steganography algorithm based on object detection only hides secret information in foreground objects,which contribute to the steganography capacity is *** object recognition contains multiple objects and location,secret information can be mapped to object categories,the relationship of location and so ***,this paper proposes a new steganography algorithm based on object detection and relationship mapping,which integrates coverless information hiding and *** this method,the coverless information hiding is realized by mapping the object type,color and secret information in object detection *** the same time,the object detection method is used to find the safe area to hide secret *** proposed algorithm can not only improve the steganographic capacity of the two information hiding methods but also make the coverless information hiding more secure and robust.

关键词： Steganography faster R-CNN coverless information hiding

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A chinese character segmentation algorithm for complicated printed documents

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2013年第3期6卷 91-100页

作者： Mei, Yuan Wang, Xinhui Wang, Jin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China

The character segmentation technology for printed documents plays an important role in optical character recognition, ticket information identification, postal code identification, automatic license plate recognition and so on. In this paper, a Chinese characters segmentation algorithm for complicated printed documents is proposed for the application in paper watermarking system. In this application, the algorithm aims to achieve high accuracy Chinese character segmentation and high consistent segmentation between the digital version images and print-scanned version images for the same documents. In this method, three main steps are included: connected regions recognition, connected regions merging, and fine-gained segmentation. Experiments show the effectiveness of the proposed algorithm.

关键词： Optical character recognition

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Quantum Privacy-Preserving Price E-Negotiation

arXiv

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arXiv 2023年

作者： Liu, Wen-Jie Li, Chun-Tang Zheng, Yu Xu, Yong Xu, Yin-Song Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing210044 China School of Computer and Software Nanjing University of Information Science & Technology Nanjing210044 China

Privacy-preserving price e-negotiation (3PEN) is an important topic of secure multi-party computation (SMC) in the electronic commerce field, and the key point of its security is to guarantee the privacy of seller’s and buyer’s prices. In this study, a novel and efficient quantum solution to the 3PEN problem is proposed, where the oracle operation and the qubit comparator are utilized to obtain the comparative results of buyer’s and seller’s prices, and then quantum counting is executed to summarize the total number of products which meets the trading conditions. Analysis shows that our solution not only guarantees the correctness and the privacy of 3PEN, but also has lower communication complexity than those classical ones. © 2023, CC BY.

关键词： Comparators (optical)

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A copyright protection method for wireless sensor networks based on digital watermarking

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International Journal of Hybrid Information Technology 2015年第6期8卷 257-268页

作者： Wang, Baowei Su, Jianwei Zhang, Youdong Wang, Biqiang Shen, Jian Ding, Qun Sun, Xingming School of Computer and software Nanjing University of Information Science and Technology Nanjing210044 China Jiangsu Engineering Center of Network Monitoring Nanjing210044 China Department of Computer Engineering Huaiyin Institute of Technology Huaian223003 China Hubei Meteorological Service Center Wuhan430074 China

Wireless sensor networks are composed of numerous sensor nodes in the monitored area, which have been well applied in various practical areas. In these applications, data security from sensors has been threatened. Thereby in this paper, a digital watermarking based copyright protection method is proposed with regard to data security in wireless sensor networks. According to the particular characteristics of collecting data, the embedding capacity can be expanded using this method of manipulating both LSB and MSRB 4. bits of the data field. The data-related information is embedded as the digital watermarking into the data to be forwarded. When the base station receives the data, we use a lookup Table to improve the speed of data parsing. In order to achieve and verify the copyright protection on WSNs, both theoretical analysis and experimental results have demonstrated that the method can effectively detect the data reliability. In addition, we also generate two-dimensional code based on the test results, thereby facilitating the user's copyright authentication. © 2015 SERSC.

关键词： Sensor nodes

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An enhanced ID-updating hash-based RFID authentication protocol with strong privacy protection

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Journal of computers (Taiwan) 2016年第4期27卷 121-129页

作者： Shen, Jian Chang, Shaohua Tan, Haowen Ji, Sai Wang, Jin Jiangsu Technology and Engineering Center of Meteorological Sensor Network Nanjing University of Information Science and Technology Nanjing China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

RFID authentication has raised many concerns about the security risks and privacy issues due to its lightweight authentication properties. Many research achievements in RFID focus on strengthening the entire RFID system and solving the security problems. Recently, a hash-based RFID security protocol with the intension of updating the identifier of the tag in both the reader side and the tag side itself was proposed. However, there exists inherent risk in the ID-updating procedure. In the scenario that the adversary blocks the legal messages continuously for several times, the backend processing system (BPS) cannot recognize the tag due to the desynchronization of the identifier in last several sessions. Thus the tag will be invalid and cannot be reused again. In this paper, we propose an enhanced ID-updating hash-based RFID authentication protocol with strong privacy protection. In our protocol the ID-updating procedure is resistant to de-synchronization attack. Additionally, the possible feedbacks towards different cases of the tag are taken into consideration. Our proposed protocol is proved to be effective and secure in real applications. Above all, the de-synchronization attack towards the communication between the tag and reader can be prevented according to our design. The identifier of the RFID tag is assumed to be updated with cryptographic hash functions during every session. In this way the identifier can be synchronized in both the BPS side and the RFID tag side. The location privacy of the tag can be protected in our protocol. © 2016, computer Society of the Republic of China. All rights reserved.

关键词： Radio frequency identification (RFID)

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Security data auditing based on multifunction digital watermark for multimedia file in cloud storage

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous engineering 2014年第9期9卷 231-240页

作者： Ren, Yongjun Shen, Jian Wang, Jin Xu, Jiang Fang, Liming Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

Cloud computing is a promising computing model that enables convenient and on-demand network access to a shared pool of configurable computing resources. In cloud computing, data owners host their data on cloud servers and data consumers can access the data from cloud servers. This new paradigm of data storage service also introduces new security challenges, because data owners and data servers have different identities and different business interests. Therefore, an independent auditing service is required to make sure that the data is correctly hosted in the Cloud. However, the existing solutions are not specific to the multimedia data. Moreover copyright protection is not provided. In this paper, we define specially a provable data possession model for multimedia file, and present a framework based on digital watermarking for multimedia data storages audit service, in which we analyze the security features of audit service for multimedia data outsourcing and the corresponding properties of digital watermarking. Moreover as an example, we present a provable data possession scheme based on double function self-embedded digital watermark, which integrate image content audit service and copyright protection. © 2014 SERSC.

关键词： Cloud storage

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Real-time human cross-race aging-related face appearance detection with deep convolution architecture

Real-time human cross-race aging-related face appearance det...

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作者： Tian, Qing Zhang, Wenqiang Mao, Junxiang Yin, Hujun School of Computer and Software Nanjing University of Information Science and Technology Nanjing China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing University of Aeronautics and Astronautics Nanjing China School of Electrical and Electronic Engineering The University of Manchester Manchester United Kingdom

Human age estimation (AE) is an emerging research topic in computer vision and machine learning and has attracted increasing amount of research due its wide potential applications. In the process of human aging, facial appearances change from glabrous to crinkly similarly across all races, from European, Hispanic and African to Asian. To specially explore the relationships between aging and facial appearances across races, this paper is devoted to determining the correspondence between facial aging and facial appearances. Specifically, we first extract appearance vector features from facial images with their spatial structure preserved. Then, we propose to select the aging-related features shared by different races to explore their aging-related common facial regions, while removing redundant features. Thirdly, we improve the proposed model by incorporating potential cross-race relationships in an automated learning manner. Additionally, we extend our model with deep convolution architecture. Finally, we evaluate the proposed methodologies on a large face aging database with real-time efficiency. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Convolution

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A feature selection algorithm based on Hoeffding inequality and mutual information

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2015年第11期8卷 433-444页

作者： Yin, Chunyong Feng, Lu Ma, Luyu Yin, Zhichao Wang, Jin School of Computer and Software Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School Nanjing China

With the rapid development of the Internet, the application of data mining in the Internet is becoming more and more extensive. However, the data source’s complex feature redundancy leads that data mining process becomes very inefficient and complex. So feature selection research is essential to make data mining more efficient and simple. In this paper, we propose a new way to measure the correlation degree of internal features of dataset which is a mutation of mutual information. Additionally we also introduce Hoeffding inequality as constraint of constructing algorithm. During the experiments, we use C4.5 classification algorithm as test algorithm and compare HSF with BIF(feature selection algorithm based on mutual information). Experiments results show that HSF performances better than BIF[1] in TP and FP rate, what’s more the feature subset obtained by HSF can significantly improve the TP, FP and memory usage of C4.5 classification algorithm. © 2015 SERSC.

关键词： Feature Selection

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Privacy-preserving image retrieval based on additive secret sharing

arXiv

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arXiv 2020年

作者： Xia, Zhihua Gu, Qi Xiong, Lizhi Zhou, Wenhao Weng, Jian Engineering Research Center of Digital Forensics Ministry of Education School of Computer and Software Jiangsu Engineering Center of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing210044 China Jinan University Guangzhou510632 China

The rapid growth of digital images motivates individuals and organizations to upload their images to the cloud server. To preserve the privacy, image owners would prefer to encrypt the images before uploading, but it would strongly limit the efficient usage of images. Plenty of existing schemes on privacy-preserving Content-Based Image Retrieval (PPCBIR) try to seek the balance between security and retrieval ability. However, compared to the advanced technologies in CBIR like Convolutional Neural network (CNN), the existing PPCBIR schemes are far deficient in both accuracy and efficiency. With more cloud service providers, the collaborative secure image retrieval service provided by multiple cloud servers becomes possible. In this paper, inspired by additive secret sharing technology, we propose a series of additive secure computing protocols on numbers and matrices with better efficiency, and then show their application in PPCBIR. Specifically, we extract CNN features, decrease the dimension of features and build the index securely with the help of our protocols, which include the full process of image retrieval in plaintext domain. The experiments and security analysis demonstrate the efficiency, accuracy and security of our scheme. Copyright © 2020, The Authors. All rights reserved.

关键词： Additives

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Hybrid Multiplicative Watermarking and Its Decoders

Hybrid Multiplicative Watermarking and Its Decoders

引用

International Conference on Multimedia Information networking and Security (MINES)

作者： Jinwei Wang Shiguo Lian Leiming Yan Yuxiang Wang Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology Nanjing China France Telecom Research and Development Orange Laboratories Beijing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

With the rapid development and the richer content of the Internet, the copyright protection of the works should be further developed. The watermarking has become a possible solution. In this paper, firstly, a novel hybrid multiplicative rule is presented and utilized to embed the watermark into DWT coefficients controlled by the secret key. Secondly, the optimum and locally optimum hybrid multiplicative multi-watermarking decoders are proposed, respectively, which are based on the minimum Bayesian risk criterion. The DWT coefficients are modeled as the generalized Gaussian distribution. Nextly, the performance of the optimum hybrid watermarking decoder, i.e. the average bit error rate is theoretically analyzed. Then the security of the hybrid multiplicative watermarking scheme is compared with the existing schemes. Finally, experimental results prove the theoretical analysis valid.

关键词： Watermarking Decoding Bit error rate Gaussian distribution Robustness Discrete wavelet transforms

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