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A Fusion Steganographic Algorithm Based on Faster R-CNN

computers, Materials & Continua 2018年第4期55卷 1-16页

作者： Ruohan Meng Steven G.Rice Jin Wang Xingming Sun School of Computer and Software Nanjing University of Information Science and TechnologyNing Liu RoadNo.219Nanjing210044China Jiangsu Engineering Centre of Network Monitoring Ning Liu RoadNo.219Nanjing210044China Department of Mathematics and Computer Science Northeastern State University TahlequahOK 74464USA School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China

The aim of information hiding is to embed the secret message in a normal cover media such as image,video,voice or text,and then the secret message is transmitted through the transmission of the cover *** secret message should not be damaged on the process of the cover *** order to ensure the invisibility of secret message,complex texture objects should be chosen for embedding *** this paper,an approach which corresponds multiple steganographic algorithms to complex texture objects was presented for hiding secret ***,complex texture regions are selected based on a kind of objects detection ***,three different steganographic methods were used to hide secret message into the selected block *** results show that the approach enhances the security and robustness.

关键词： Faster R-CNN fusion steganography object detection CNNs information hiding.

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A robust instantaneous frequency estimation of rotating machinery

A robust instantaneous frequency estimation of rotating mach...

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2011 International Conference on Mechatronic Science, Electric engineering and computer, MEC 2011

作者： Zhao, Xiaoping Zhao, Xiuli Zheng, Yuhui Xie, Shengdong 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 Hebei Software Institute Baoding 071000 China

ISBN: (纸本)9781612847221

The problem of estimating and tracking the fundamental frequency of a periodic signal is formulated in short Fourier transform and viterbi algorithm (STFT-VA) is proposed. An improvement to peak search is proposed, which can avoid strong non-order components or noises disturbing to the peak search work Compare with traditional methods of order tracking instantaneous frequency estimation (IFE) based on order tracking is simplified in application an only software depended. The method is tested on a multichannel vibration measurement from the rotating machinery. From the measurements the running speed of the engine is successfully estimated during the run-up/down experiment. © 2011 IEEE.

关键词： Viterbi algorithm

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The Numerical Results of Binary Coherent-State Signal’s Quantum Detection in the Presence of Noise 6th

The Numerical Results of Binary Coherent-State Signal’s Qua...

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6th International Conference on Artificial Intelligence and Security, ICAIS 2020

作者： Yu, Wenbin Xiong, Zijia Dong, Zangqiang Xu, Yinsong Liu, Wenjie Qu, Zhiguo Liu, Alex X. Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology NanjingJiangsu210044 China The Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management ZhengzhouHenan450015 China Department of Computer Science and Engineering Michigan State University East LansingMI48824-1226 United States

ISBN: (纸本)9783030578831

In the optical frequency level communication, quantum effect becomes the source of significant communication errors. One alternative to classical detection is orthogonal projection measurement. In this paper, based on the coherent state’s quantum measurement and discrimination, the quantum optimal detection of binary coherent state signal in the presence of thermal noise was studied. Our numerical results showed the error probabilities of quantum detection under the OOK and BPSK modulation, and verified the performance of these two modulation methods in the thermal noise field background. © 2020, Springer Nature Switzerland AG.

关键词： Optical communication

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Semi-supervised stacked autoencoder-based deep hierarchical semantic feature for real-time fingerprint liveness detection

Semi-supervised stacked autoencoder-based deep hierarchical ...

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作者： Yuan, Chengsheng Chen, Xianyi Yu, Peipeng Meng, Ruohan Cheng, Weijin Wu, Q. M. Jonathan 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 Electrical and Computer Engineering University of Windsor WindsorONN9B 3P4 Canada

The popularity of biometric authentication technology benefits from the rapid development of smart mobile devices in recent years, and fingerprints, which are inherent human traits and neither easily revealed nor deciphered, can be used for real-time individual authentication systems. However, the main security issue of real-time fingerprint authentication systems is that most fingerprint scanners are vulnerable to presentation attacks by artificial replicas, made from plastic clay, gelatin, silicon, wood glue, etc. One anti-spoofing attack scheme, called real-time fingerprint liveness detection (RFLD), has been proposed to discriminate live or fake fingerprints. Currently, to resolve the presentation attacks, most RFLD solutions all relied on handcrafted feature extraction and selection. The features extracted by manual method are shallow features of the samples;however, autoencoder can automatically learn deep hierarchical semantic features representation of the samples, thus replacing the operations extracted with hand-designed features. In this paper, we apply stacked autoencoder to RFLD to significantly lower the work-force burden of the feature extraction engineering, and our model consists of two parts: parameter pre-training based on unsupervised learning and FLD based on supervised learning. The performance has been verified on two public fingerprint datasets: LivDet 2011 and 2013, and the experimental results indicate that our proposed approach works well for RFLD as well as the detection performance is satisfactory. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Feature extraction

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A practical RFID grouping authentication protocol in multiple-tag arrangement with adequate security assurance 18

A practical RFID grouping authentication protocol in multipl...

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18th International Conference on Advanced Communications Technology, ICACT 2016

作者： Shen, Jian Tan, Haowen Ren, Yongjun Liu, Qi Wang, Baowei Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology China Jiangsu Technology and Engineering Center of Meteorological Sensor Network Nanjing University of Information Science and Technology China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology China School of Computer and Software Nanjing University of Information Science and Technology China

ISBN: (纸本)9788996865063

Radio Frequency Identification (RFID) is considered to be an authentication technology of great potential. Due to the bright future of low-cost RFID tags in practical situations, the authentication towards multiple tags and tag groups has become the research hotspot. However, there are many concerns about the security risks and privacy issues in lightweight RFID authentication scenarios. Many researches achievements have been made focusing on the existence of single tag in one object, while the arrangement that multiple tags attached to one object is out of consideration. In this paper, we propose a practical RFID grouping authentication protocol in multiple-tag arrangement with adequate security assurance. In our assumption, one object to be authenticated is attached with a group of RFID tags. The feedback towards various cases of the RFID tags is timely provided, which is necessary in practical situations. Additionally, the probable position and status of the object can be ascertained with a number of tags combined with the object. Moreover, the protocol is proved to offer enough security assurances and have resistance to various attacks under the security analysis. The regular operation of RFID system will not be severely damaged by the incidents occurred during the authentication process. © 2016 Global IT Research Institute (GiRI).

关键词： Authentication

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Quantum Searchable Encryption for Cloud Data Based on Delegating Quantum Computing 9th

Quantum Searchable Encryption for Cloud Data Based on Delega...

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9th EAI International Conference on Cloud Computing, CloudComp 2019 and the 4th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019

作者： Xu, Yinsong Liu, Wenjie Chen, Junxiu Tong, Lian School of Computer and Software Nanjing University of Information Science and Technology Nanjing210044 China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing210044 China School of Information Engineering Jiangsu Maritime Institute Nanjing211100 China

ISBN: (纸本)9783030485122

Based on delegating quantum computing (DQC), a DQC model that adapts to multi-qubit and composite quantum circuits is given firstly. In this model, the single client with limited quantum ability can give her encrypted data to a powerful but untrusted quantum data server and let the data server computes over the encrypted data without decryption, where the computation is a quantum circuit composed of multiple quantum gates. Then, the client generates the decryption key to decrypt the computing result according to the circuit of computation. However, this model cannot meet the situation of multi-client accessing or computing encrypted cloud data in the cloud environment. To solve this problem, we let the client outsource key generation to a trusted key server, which composes the quantum cloud center with the data server. The clients only perform X and Z operation according to the encryption or decryption key. Then, combined with Grover algorithm, a quantum searchable encryption scheme for cloud data based on delegating quantum computing is proposed in this paper. The data server mainly uses Grover algorithm to perform search computation on the encrypted data. Moreover, a concrete example of our scheme is discussed next, where the data server searches for 2 target items from 8 items of the encrypted data. Finally, security of our proposed scheme is analysed, which can protect the security of the data. © 2020, ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Trusted computing

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Fingerprint Liveness Detection from Different Fingerprint Materials Using Convolutional Neural network and Principal Component Analysis

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computers, Materials & Continua 2017年第4期53卷 357-372页

作者： Chengsheng Yuan Xinting Li Q.M.Jonathan Wu Jin Li Xingming Sun School of Computer and Software Nanjing University of Information Science&TechnologyNing Liu RoadNo.219NanjingChina210044 Jiangsu Engineering Center of Network Monitoring Ning Liu RoadNo.219NanjingChina210044 Department of Electrical and Computer Engineering University of Windsor401 Sunset AvenueWindsorONCanada N9B 3P4 School of Computer Science Guangzhou UniversityYudongxi Road 36Tianhe DistrictGuangzhouChina510500

Fingerprint-spoofing attack often occurs when imposters gain access illegally by using artificial fingerprints,which are made of common fingerprint materials,such as silicon,latex,***,to protect our privacy,many fingerprint liveness detection methods are put forward to discriminate fake or true *** work on liveness detection for fingerprint images is focused on the construction of complex handcrafted features,but these methods normally destroy or lose spatial information between *** from existing methods,convolutional neural network(CNN)can generate high-level semantic representations by learning and concatenating low-level edge and shape features from a large amount of labeled ***,CNN is explored to solve the above problem and discriminate true fingerprints from fake ones in this *** reduce the redundant information and extract the most distinct features,ROI and PCA operations are performed for learned features of convolutional layer or pooling *** that,the extracted features are fed into SVM *** results based on the LivDet(2013)and the LivDet(2011)datasets,which are captured by using different fingerprint materials,indicate that the classification performance of our proposed method is both efficient and convenient compared with the other previous methods.

关键词： Fingerprint liveness detection CNNs PCA SVM ROI LivDet 2013 LivDet 2011

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Outsourced data modification algorithm with assistance of multi-assistants in cloud computing

Outsourced data modification algorithm with assistance of mu...

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作者： Shen, Jian Shen, Jun Li, Xiong Wei, Fushan Li, Jiguo Department of Jiangsu Engineering Center of Network Monitoring Jiangsu210044 China Technology and Engineering Center of Meteorological Sensor Network Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing Jiangsu210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing210044 China Hunan University of Science and Technology Hunan410082 China PLA Information Engineering University Henan450002 China Hohai University Nanjing210098 China

The rapid development of cloud storage has caused a wave of research craze. To improve cloud user experience, a large number of schemes are proposed with various practical performances, like long-term correct ensurence and dynamic support. In most works, however, authors seem to completely ignore that data owner alone could not have enough energy to discover and correct all inappropriate data outsourced. Others considered it and gave more than one user both read and write permissions, leading to chaotic management of multiusers. In this paper, we propose a novel algorithm, where data owner and authenticated assistants form a team to support data dynamics. Assistants are in charge of detecting problems of data and discussing a corresponding modification suggestion, while data owner is responsible for the implementation of the modification. Additionally, our algorithm supports identity authentication, malicious assistant revocation, and lazy update. Sufficient numerical analysis validates the performance of our algorithm. Copyright © 2017 Inderscience Enterprises Ltd.

关键词： Cloud storage

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RFID indoor localization algorithm based on adaptive self-correction

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International Journal of Smart Home 2014年第6期8卷 205-216页

作者： Gu, Yunhua Zhang, Junyong Wang, Jin Gao, Bao Du, Jie Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

With the rapid development of wireless communication and embedded system, wireless positioning systems are paid more and more attention to. Radio Frequency Identification (RFID) localization system is getting more important, due to its own advantages, such as no contact, non-line-of-sight nature, promising transmission range and cost-effectiveness. To improve the accuracy of active RFID indoor location system, some traditional RFID indoor localization systems were studied, such as LANDMARC. On this basis, an adaptive self-correction location algorithm was presented, which uses a positioning correction value to correct the positioning result. N minimum errors and position results are obtained by using adaptive K-nearest neighbor algorithm N times. The positioning correction value calculated with N minimum errors in weighted way. The sum of the positioning average value and the positioning correction value would be the final positioning results. Experimental results show that compared with adaptive K-nearest neighbor algorithm and error self-correction algorithm, the proposed method provides a higher accuracy and stability.

关键词： Indoor positioning systems

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Splicing Detection for Color Images based on QDCT Markov

Splicing Detection for Color Images based on QDCT Markov

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第十三届全国信息隐藏暨多媒体信息安全学术大会

作者： WANG Jinwei LIU Renfeng Jiangsu Network Monitoring Engineering Center Department of Computer and SoftwareNanjing University of Information Science and Technology Nanjing

With the increasing amount of splicing images, many detecting methods of splicing images are *** this paper, we propose a splicing detection scheme based on quaternion discrete cosine transform (QDCT).Compared to most of existing methods, the proposed scheme uses the correlation among three channels of the color image, hence decreases the loss of the image's inherent color ***, Markov features from color images are extracted in QDCT ***, SVM is used to detect the splicing *** accuracy of the proposed scheme reaches 98.75% and 96.78% in CASIA1 and CASIA2, *** experimental result is better than most of the existing methods.

关键词： splicing detection color images QDCT Markov

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