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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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Coverless Information Hiding Based on the Molecular Structure Images of Material

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computers, Materials & Continua 2018年第2期54卷 197-207页

作者： Yi Cao Zhili Zhou Xingming Sun Chongzhi Gao 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 Electrical and computer Engineering University of Windsor401 Sunset AvenueWindsorONCanada N9B 3P4 School of Computer Science Guangzhou UniversityWaihuanxi RoadNo.230Guangzhou510006China

The traditional information hiding methods embed the secret information by modifying the carrier,which will inevitably leave traces of modification on the *** this way,it is hard to resist the detection of steganalysis *** address this problem,the concept of coverless information hiding was *** information hiding can effectively resist steganalysis algorithm,since it uses unmodified natural stego-carriers to represent and convey confidential ***,the state-of-the-arts method has a low hidden capacity,which makes it less *** the pixel values of different regions of the molecular structure images of material(MSIM)are usually different,this paper proposes a novel coverless information hiding method based on MSIM,which utilizes the average value of sub-image’s pixels to represent the secret information,according to the mapping between pixel value intervals and secret *** addition,we employ a pseudo-random label sequence that is used to determine the position of sub-images to improve the security of the *** the histogram of the Bag of words model(BOW)is used to determine the number of subimages in the image that convey secret ***,to improve the retrieval efficiency,we built a multi-level inverted index ***,the proposed method can also be used for other natural *** with the state-of-the-arts,experimental results and analysis manifest that our method has better performance in anti-steganalysis,security and capacity.

关键词： Coverless information hiding molecular structure images of material pixel value inverted index image retrieval bag of words model

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A Real-time Cutting Model Based on Finite Element and Order Reduction

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computer Systems Science & engineering 2022年第10期43卷 1-15页

作者： Xiaorui Zhang Wenzheng Zhang Wei Sun Hailun Wu Aiguo Song Sunil Kumar Jha Wuxi Research Institute Nanjing University of Information Science&TechnologyWuxi214100China Engineering Research Center of Digital Forensics Ministry of EducationJiangsu Engineering Center of Network MonitoringSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China School of Automation Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of Bioelectronics Jiangsu Key Lab of Remote Measurement and ControlSchool of Instrument Science and EngineeringSoutheast UniversityNanjing210096China IT Fundamentals and Education Technologies Applications University of Information Technology and Management in RzeszowRzeszow Voivodeship100031Poland

Telemedicine plays an important role in Corona Virus Disease 2019(COVID-19).The virtual surgery simulation system,as a key component in telemedicine,requires to compute in ***,this paper proposes a realtime cutting model based on finite element and order reduction method,which improves the computational speed and ensure the real-time *** proposed model uses the finite element model to construct a deformation model of the virtual ***,a model order reduction method combining proper orthogonal decomposition and Galerkin projection is employed to reduce the amount of deformation *** addition,the cutting path is formed according to the collision intersection position of the surgical instrument and the lesion area of the virtual ***,the Bezier curve is adopted to draw the incision outline after the virtual lung has been ***,the simulation system is set up on the PHANTOM OMNI force haptic feedback device to realize the cutting simulation of the virtual *** results show that the proposed model can enhance the real-time performance of telemedicine,reduce the complexity of the cutting simulation and make the incision smoother and more natural.

关键词： Virtual surgery cutting model finite element model model order reduction Bezier curve

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A RFID data-cleaning algorithm based on communication information among RFID readers

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International Journal of u- and e- Service, Science and Technology 2015年第1期8卷 155-164页

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

For the insufficient of existing algorithms of redundant-reader elimination, the paper proposes a data-cleaning algorithm based on communication information among readers. This algorithm is no longer dependent on the tag to send information between the RFID readers, but to transmit information directly through communication information among the readers to determine which reader the tag belongs to and whether the reader is redundant or not. This paper does a lot of experiments to verify the effectiveness of the algorithm. © 2015 SERSC.

关键词： Cleaning

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Semantics-based text copy detection method supporting similarity ranking

Semantics-based text copy detection method supporting simila...

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第十二届全国信息隐藏暨多媒体信息安全学术大会

作者： FU Zhangjie SUN Xingming ZHOU Lu HUANG Fengxiao School of Computer and Software & Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044

Text document is the most widely used medium on the ***, there are some emerging problems that cannot be neglected, such as plagiarism, reproduction of information content, illicit redistribution, and copyright disputes *** plagiarists have become more and more "clever",they could rewrite the contents by using synonym substitution, syntactic variation and other *** traditional copy detection methods that use precise matching or similar string matching algorithms cannot apply to the circumstance of semantics-based copy *** meet the challenge of supporting semantics-based copy detection, for the first time this paper proposes a semantics-based copy detection method supporting similarity *** scores between the suspicious text and each text from corpus are calculated using our proposed similarity calculation *** last,top-k texts from corpus, which have high similarity scores with the suspicious text, are ranked and listed in descending order of the *** on the real-world dataset further show that our proposed solution is very efficient and effective in supporting semantics-based copy detection.

关键词： Plagiarism Semantics-based copy detection Semantics similarity Plain text keyword extraction

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Extracting Regular Behaviors from Social Media networks

Extracting Regular Behaviors from Social Media Networks

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International Conference on Multimedia Information networking and Security (MINES)

作者： Leiming Yan Jinwei Wang School of Computer & Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China

Social media network analysis has become very popular in recent years. How do real networks evolve over time? What are the normal evolving behaviors in a social media network? In order to extract behaviors occurring regularly to reveal the microscopic evolving properties in social networks, the evolving process of networks is modeled as stochastic states transition, and the evolving behaviors are described as topological structure changes of a series of sub graphs. Then, based on Maximal Frequent Sub graph mining technology, RB Miner (Regular Behaviors Miner) algorithm is proposed to identify such regular behaviors in network dataset. The empirical evaluation using both synthetic and real dataset verifies that the proposed algorithm is valid, and the regular behavior patterns show more dynamic information hidden in evolving social networks than normal frequent sub graph patterns.

关键词： Social network services Data mining Media Electronic mail Databases Markov processes

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International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Zhangjie Fu Jiangang Shu Jin Wang Xingming Sun School of Computer and Software & Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China

The increasing popularity of cloud computing makes the data owner to outsource sensitive data in encrypted form onto the cloud. To tackle the problem of searching over encrypted cloud data, many keyword-based searchable encryption schemes have been proposed. However, there are few document-based search schemes in this field, which are also important in real applications. In this paper, we use the simhash algorithm to realizing similarity search over encrypted document with privacy-preserving. Through our method, data users can find similar encrypted documents stored in cloud by querying a document. In addition, a trie-based index is adopted in our solution to improve search efficiency.

关键词： Indexes Fingerprint recognition Feature extraction Servers Encryption Hamming distance

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Joint Bayesian guided metric learning for end-to-end face verification

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Neurocomputing 2018年 275卷 560-567页

作者： Di Chen Chunyan Xu Jian Yang Jianjun Qian Yuhui Zheng Linlin Shen School of Computer Science and Engineering Nanjing University of Science and Technology 210094 China Jiangsu Engineering Center of Network Monitoring School of computer and software Nanjing University of Information Science and Technology 210044 China School of Computer Science and Software Engineering Shenzhen University 518060 China

In this work, we address the problem of face verification, namely determining whether a pair of face images belongs to the same or different subjects. Previous works often consider solving the problem of face verification in two steps: feature extraction and face recognition, resulting in a fragmented procedure. We argue that these techniques, although working well, fail to explicitly exploit a full end-to-end framework for face verification, which has received much attention and achieved significant improvements recently. In this paper, we propose a novel Joint Bayesian guided metric learning technique for dealing with the face verification task, which well integrates the above two steps of face verification into an end-to-end convolutional neural network (CNN) architecture. In the training stage, an initial neural network, which has the similar architecture with GoogLeNet CNN model, is firstly pre-trained by optimizing classification-based objective functions on the publicly available CASIA WebFace database. Based on constructed face pairs dataset from CASIA WebFace and LFW datasets, we then fine-tune the whole network parameters under the guide of the learned knowledge, which is obtained from the highly successful Joint Bayesian model. This guided learning procedure, which can also be seen as a metric learning technique, can further update network parameters for discriminating face pairs. In the testing process, the outputs by this unified network are discriminated with a threshold value to produce the ultimate prediction for the face verification task. Comprehensive evaluations over the LFW dataset well demonstrate the encouraging face verification performance of our proposed framework.

关键词： Face verification Convolutional neural network Joint Bayesian model

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Document Attribute-Based Keyword Search over Encrypted Data

Document Attribute-Based Keyword Search over Encrypted Data

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International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Zhangjie Fu Jie Xi Jin Wang Xingming Sun School of Computer and Software & Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China

As the cloud computing popularizes, sensitive data need to be encrypted before outsourcing, which makes the traditional data utilization useless. So search over these encrypted documents is a very challenging task. This paper firstly descripts the framework of the searchable encryption, and then presents the existing keyword-based search technologies. At last, we propose a novel color-based keyword search scheme for encrypted office document. Two vectors on behalf of the keywords and the corresponding color are used. The scheme can return top-k set as correct as possible meeting user's requirements.

关键词： Keyword search Semantics Cloud computing XML Encryption Vectors

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Secure Storage of Data in Cloud Computing

Secure Storage of Data in Cloud Computing

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International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Zhangjie Fu Xinyue Cao Jin Wang Xingming Sun School of Computer and Software & Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China

Cloud storage brings convenient storage of data, at the same time there are also hidden security issues. Data storage security includes legal access to the data stored in the cloud, namely access authorization and authentication security data sharing and the encryption of stored data to ensure data confidentiality, consisting of the accessibility to effective cryptographic data and inaccessibility to the deleted cryptographic data, using tamper-proof technology to ensure the integrity of the data, as well as using tracking technology to ensure data traceability. This paper focuses on the file systems with secure data deletion. We design a file system which supports secure deletion of data. It uses CP-ABE which supports fine-grained access policy to encrypt files.

关键词： Cloud computing Encryption Access control File systems Secure storage

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