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Big Data Access Control Mechanism Based on Two-Layer Permission Decision Structure

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Computers, Materials & Continua 2024年第4期79卷 1705-1726页

作者： Aodi Liu Na Wang Xuehui Du Dibin Shan Xiangyu Wu Wenjuan Wang He’nan province key laboratory of information security Information Engineering UniversityZhengzhou450000China

Big data resources are characterized by large scale, wide sources, and strong dynamics. Existing access controlmechanisms based on manual policy formulation by security experts suffer from drawbacks such as low policymanagement efficiency and difficulty in accurately describing the access control policy. To overcome theseproblems, this paper proposes a big data access control mechanism based on a two-layer permission decisionstructure. This mechanism extends the attribute-based access control (ABAC) model. Business attributes areintroduced in the ABAC model as business constraints between entities. The proposed mechanism implementsa two-layer permission decision structure composed of the inherent attributes of access control entities and thebusiness attributes, which constitute the general permission decision algorithm based on logical calculation andthe business permission decision algorithm based on a bi-directional long short-term memory (BiLSTM) neuralnetwork, respectively. The general permission decision algorithm is used to implement accurate policy decisions,while the business permission decision algorithm implements fuzzy decisions based on the business *** BiLSTM neural network is used to calculate the similarity of the business attributes to realize intelligent,adaptive, and efficient access control permission decisions. Through the two-layer permission decision structure,the complex and diverse big data access control management requirements can be satisfied by considering thesecurity and availability of resources. Experimental results show that the proposed mechanism is effective andreliable. In summary, it can efficiently support the secure sharing of big data resources.

关键词： Big data access control data security BiLSTM

A Flexible Smart Healthcare Platform Conjugated with Artificial Epidermis Assembled by Three‑Dimensionally Conductive MOF network for Gas and Pressure Sensing

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Nano-Micro Letters 2025年第2期17卷 601-620页

作者： Qingqing Zhou Qihang Ding Zixun Geng Chencheng Hu Long Yang Zitong Kan Biao Dong Miae Won Hongwei Song Lin Xu Jong Seung Kim State key laboratory of Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun 130012People’s Republic of China Department of Chemistry Korea UniversitySeoul 02841Republic of Korea TheranoChem Incorporation Seoul 02856Republic of Korea

The rising flexible and intelligent electronics greatly facilitate the noninvasive and timely tracking of physiological information in telemedicine *** building bionic-sensitive moieties is vital for designing efficient electronic skin with advanced cognitive functionalities to pluralistically capture external ***,realistic mimesis,both in the skin’s three-dimensional interlocked hierarchical structures and synchronous encoding multistimuli information capacities,remains a challenging yet vital need for simplifying the design of flexible logic ***,we construct an artificial epidermal device by in situ growing Cu_(3)(HHTP)_(2) particles onto the hollow spherical Ti_(3)C_(2)T_(x) surface,aiming to concurrently emulate the spinous and granular layers of the skin’s *** bionic Ti_(3)C_(2)T_(x)@Cu_(3)(HHTP)_(2) exhibits independent NO_(2) and pressure response,as well as novel functionalities such as acoustic signature perception and Morse code-encrypted message ***,a wearable alarming system with a mobile application terminal is self-developed by integrating the bimodular senor into flexible printed *** system can assess risk factors related with asthmatic,such as stimulation of external NO_(2) gas,abnormal expiratory behavior and exertion degrees of fingers,achieving a recognition accuracy of 97.6%as assisted by a machine learning *** work provides a feasible routine to develop intelligent multifunctional healthcare equipment for burgeoning transformative telemedicine diagnosis.

关键词： Ti_(3)C_(2)T_(x)@Cu_(3)(HHTP)_(2)composites NO_(2)/pressure flexible sensors Health-monitoring Machine learning

Animal Sound Recognition Based on Double Feature of Spectrogram

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Chinese Journal of Electronics 2019年第4期28卷 667-673页

作者： LI Ying HUANG Hongkeng WU Zhibin College of Mathematics and Computer Science Fuzhou University key laboratory of information security of network Systems (Fuzhou University)

Due to existence of different environments and noises, the existing method is difficult to ensure the recognition accuracy of animal sound in low Signal-to-noise(SNR) conditions. To address these problems, we propose a double feature, which consists of projection feature and Local binary pattern variance(LBPV) feature, combined with Random forest(RF) for animal sound *** feature extraction, an operation of projecting is made on spectrogram to generate the projection ***, LBPV feature is generated by means of accumulating the corresponding variances of all pixels for every Uniform local binary pattern(ULBP) in the spectrogram. Short-time spectral estimation algorithm is used to enhance sound signals in severe mismatched noise conditions. In the experiments, we classify 40 kinds of common animal sounds under different SNRs with rain noise, traffic noise, and wind noise. As the experimental results show, the proposed framework consisting of shorttime spectrum estimation, double feature, and RF, can recognize a wide range of animal sounds and still remains a recognition rate over 80% even under 0dB SNR.

关键词： Animal sound recognition Local binary pattern variance(LBPV) Projection feature Random forest(RF) Sound enhancement

Steganalysis and improvement of a quantum steganography protocol via a GHZ_4 state

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Chinese Physics B 2013年第6期22卷 199-202页

作者：徐淑奖陈秀波钮心忻杨义先 information security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications Shandong Provincial key laboratory of Computer network Shandong Computer Science Center State key laboratory of information security (Institute of Information EngineeringChinese Academy of Sciences)

Quantum steganography that utilizes the quantum mechanical effect to achieve the purpose of information hiding is a popular topic of quantum information. Recently, E1 Allati et al. proposed a new quantum steganography using the GHZ4 state. Since all of the 8 groups of unitary transformations used in the secret message encoding rule change the GHZ4 state into 6 instead of 8 different quantum states when the global phase is not considered, we point out that a 2-bit instead of a 3-bit secret message can be encoded by one group of the given unitary transformations. To encode a 3-bit secret message by performing a group of unitary transformations on the GHZ4 state, we give another 8 groups of unitary transformations that can change the GHZ4 state into 8 different quantum states. Due to the symmetry of the GHZ4 state, all the possible 16 groups of unitary transformations change the GHZ4 state into 8 different quantum states, so the improved protocol achieves a high efficiency.

关键词： quantum steganography GHZ4 entangled state quantum cryptography quantum communication

FPGA based unified architecture for public key and private key cryptosystems

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Frontiers of Computer Science 2013年第3期7卷 307-316页

作者： Yi WANG Renfa LI Embedded Systems and networking laboratory Hunan Province Key Laboratory of Network and Information Security Hunan University Changsha 410082 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore

Recently, security in embedded system arises attentions because of modern electronic devices need cau- tiously either exchange or communicate with the sensitive data. Although security is classical research topic in world- wide communication, the researchers still face the problems of how to deal with these resource constraint devices and en- hance the features of assurance and certification. Therefore, some computations of cryptographic algorithms are built on hardware platforms, such as field program gate arrays （FPGAs）. The commonly used cryptographic algorithms for digital signature algorithm （DSA） are rivest-shamir-adleman （RSA） and elliptic curve cryptosystems （ECC） which based on the presumed difficulty of factoring large integers and the algebraic structure of elliptic curves over finite fields. Usu- ally, RSA is computed over GF（p）, and ECC is computed over GF（p） or GF（2P）. Moreover, embedded applications need advance encryption standard （AES） algorithms to pro- cess encryption and decryption procedures. In order to reuse the hardware resources and meet the trade-off between area and performance, we proposed a new triple functional arith- metic unit for computing high radix RSA and ECC operations over GF（p） and GF（2P）, which also can be extended to support AES operations. A new high radix signed digital （SD） adder has been proposed to eliminate the carry propagations over GF（p）. The proposed unified design took up 28.7% less hardware resources than implementing RSA, ECC, and AES individually, and the experimental results show that our proposed architecture can achieve 141.8 MHz using approxi- mately 5.5k CLBs on Virtex-5 FPGA.

关键词： AES RSA ECC signed-digit number FPGA cryptographic algorithms high radix arithmetic unit

MIA-UNet:Multi-Scale Iterative Aggregation U-network for Retinal Vessel Segmentation

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Computer Modeling in Engineering & Sciences 2021年第11期129卷 805-828页

作者： Linfang Yu Zhen Qin Yi Ding Zhiguang Qin network and Data security key laboratory of Sichuan province University of Electronic Science and Technology of ChinaChengdu610054China

As an important part of the new generation of information technology,the Internet of Things(IoT)has been widely concerned and regarded as an enabling technology of the next generation of health care *** fundus photography equipment is connected to the cloud platform through the IoT,so as to realize the realtime uploading of fundus images and the rapid issuance of diagnostic suggestions by artificial *** the same time,important security and privacy issues have *** data uploaded to the cloud platform involves more personal attributes,health status and medical application data of *** leaked,abused or improperly disclosed,personal information security will be ***,it is important to address the security and privacy issues of massive medical and healthcare equipment connecting to the infrastructure of IoT healthcare and health *** meet this challenge,we propose MIA-UNet,a multi-scale iterative aggregation U-network,which aims to achieve accurate and efficient retinal vessel segmentation for ophthalmic auxiliary diagnosis while ensuring that the network has low computational complexity to adapt to mobile *** this way,users do not need to upload the data to the cloud platform,and can analyze and process the fundus images on their own mobile terminals,thus eliminating the leakage of personal ***,the interconnection between encoder and decoder,as well as the internal connection between decoder subnetworks in classic U-Net are redefined and ***,we propose a hybrid loss function to smooth the gradient and deal with the imbalance between foreground and *** with the UNet,the segmentation performance of the proposed network is significantly improved on the premise that the number of parameters is only increased by 2%.When applied to three publicly available datasets:DRIVE,STARE and CHASE DB1,the proposed network achieves the accuracy/F1-score of 96.33%/84.34%

关键词： Retinal vessel segmentation security and privacy redesigned skip connection feature maps aggregation hybrid loss function

An Erebus Attack Detection Method Oriented to Blockchain network Layer

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Computers, Materials & Continua 2023年第6期75卷 5395-5431页

作者： Qianyi Dai Bin Zhang Kaiyong Xu Shuqin Dong Zhengzhou information Science and Technology Institute Zhengzhou450001Henan ProvinceChina Henan key laboratory of information security Zhengzhou450001Henan ProvinceChina

Recently,the Erebus attack has proved to be a security threat to the blockchain network layer,and the existing research has faced challenges in detecting the Erebus attack on the blockchain network *** cloud-based active defense and one-sidedness detection strategies are the hindrances in detecting Erebus *** study designs a detection approach by establishing a ReliefF_WMRmR-based two-stage feature selection algorithm and a deep learning-based multimodal classification detection model for Erebus attacks and responding to security threats to the blockchain network *** goal is to improve the performance of Erebus attack detection methods,by combining the traffic behavior with the routing status based on multimodal deep feature *** traffic behavior and routing status were first defined and used to describe the attack characteristics at diverse stages of s leak monitoring,hidden traffic overlay,and transaction identity *** goal is to clarify how an Erebus attack affects the routing transfer and traffic state on the blockchain network ***,detecting objects is expected to become more relevant and sensitive.A two-stage feature selection algorithm was designed based on ReliefF and weighted maximum relevance minimum redundancy(ReliefF_WMRmR)to alleviate the overfitting of the training model caused by redundant information and noise in multiple source features of the routing status and traffic *** ReliefF algorithm was introduced to select strong correlations and highly informative features of the labeled *** to WMRmR,a feature selection framework was defined to eliminate weakly correlated features,eliminate redundant information,and reduce the detection overhead of the model.A multimodal deep learning model was constructed based on the multilayer perceptron(MLP)to settle the high false alarm rates incurred by multisource *** this model,isolated inputs and deep learning were conducted on the selec

关键词： Blockchain network Erebus attack attack detection machine learning

Efficient and secure image authentication with robustness and versatility

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Science China(information Sciences) 2020年第12期63卷 179-196页

作者： Haixia CHEN Xinyi HUANG Wei WU Yi MU Fujian Provincial key laboratory of network security and Cryptology Center for Applied Mathematics of Fujian ProvinceCollege of Mathematics and Informatics Fujian Normal University

Image authentication is the technology of verifying image origin, integrity and authenticity. A rich stream of research on image authentication has shown various trade-off among four favorable features,namely robustness, security, versatility and efficiency. Image data authentication has the highest level of security but provides no robustness/versatility. Image content authentication from robust hashing keeps robust to limited types of operations, and as a result its versatility is not satisfactory. Existing designs of image content authentication from advanced cryptographic primitives achieve robustness, security and versatility, at the cost of low efficiency. In this paper, we present a new design of image authentication with an improved trade-off among the aforementioned features. Our versatile design is robust to a number of predefined image processing operations. Its security can be reduced to q-strong Diffie-Hellman(q-SDH), a complexity problem used by existing cryptographic algorithms. From the aspect of efficiency, the new design has a constant-size authentication overhead( ≤2 kB) and a constant verification time(around 0.05 s). While the time of generating authentication overhead increases linearly with the number of permissible editing operations, it only takes around 0.33 s for 1000 types of permissible operations. We believe the new design will facilitate image applications where trustworthy image editing is required.

关键词： image authentication image processing cryptography bilinear maps

An Efficient Location Privacy Protection Scheme Based on the Chinese Remainder Theorem

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Tsinghua Science and Technology 2016年第3期21卷 260-269页

作者： Jingjing Wang Yiliang Han Xiaoyuan Yang Department of Electronic Technology the Key Laboratory of Network & Information Security of Armed Police Force Engineering University of Armed Police Force

Traditional k-anonymity schemes cannot protect a user＇s privacy perfectly in big data and mobile network environments. In fact, existing k-anonymity schemes only protect location in datasets with small granularity. But in larger granularity datasets, a user＇s geographical region-location is always exposed in realizations of k-anonymity because of interaction with neighboring nodes. And if a user could not find enough adjacent access points, most existing schemes would be invalid. How to protect location information has become an important issue. But it has not attracted much attention. To solve this problem, two location-privacy protection models are proposed. Then a new generalized k-anonymity Location Privacy Protection Scheme based on the Chinese Remainder Theorem （LPSS-CRT） in Location-Based Services （LBSs） is proposed. We prove that it can guarantee that users can access LBSs without leaking their region-location information, which means the scheme can achieve perfect anonymity. Analysis shows that LPPS-CRT is more secure in protecting location privacy, including region information, and is more efficient, than similar schemes. It is suitable for dynamic environments for different users＇ privacy protection requests.

关键词： location privacy protection generalized k-anonymity location-based services the Chinese remaindertheorem