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A Blockchain-Based Proxy Re-Encryption Scheme with co.ditional Privacy Protection and Auditability

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China co.munications 2024年第7期21卷 267-277页

作者： Chen Guo PengWeijun Wu Jing Fang Youxuan Ye Keke Xin Yanshuang China Mobile information technology co. LtdBeijing 100037China China Mobile information technology co. LtdShenzhen 518048China

With the development of Internet of Things technology,intelligent door lock devices are widely used in the field of house *** the traditional housing leasing scenario,problems of door lock information disclosure,tenant privacy disclosure and rental co.tract disputes frequently occur,and the security,fairness and auditability of the housing leasing transaction cannot be *** solve the above problems,a blockchain-based proxy re-encryption scheme with co.ditional privacy protection and auditability is *** scheme implements fine-grained access co.trol of door lock data based on attribute encryption technology with policy hiding,and uses proxy re-encryption technology to achieve auditable supervision of door lock information *** encryption technology and zero-knowledge proof technology are introduced to ensure the co.fidentiality of housing rent information and the fairness of rent *** co.struct a decentralized housing lease transaction architecture,the scheme realizes the efficient co.laboration between the door lock data ciphertext stored under the chain and the key information ciphertext on the chain based on the blockchain and InterPlanetary File ***,the security proof and co.puting performance analysis of the proposed scheme are carried *** results show that the scheme can resist the chosen plaintext attack and has low co.putational co.t.

关键词： attribute encryption blockchain homomorphic encryption house leasing proxy re-encryption zero-knowledge proof

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An optimization-oriented modeling approach using input co.vex neural networks and its application on optimal chiller loading

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Building Simulation 2024年第4期17卷 639-655页

作者： Shanshuo Xing Jili Zhang Song Mu Dalian University of technology Dalian116024China Guangdong Airport Baiyun information technology co. Ltd.Guangzhou510000China

Optimization for the multi-chiller system is an indispensable approach for the operation of highly efficient chiller *** optima obtained by model-based optimization algorithms are dependent on precise and solvable objective *** classical neural networks cannot provide co.vex input-output mappings despite capturing impressive nonlinear fitting capabilities,resulting in a reduction in the robustness of model-based *** this paper,we leverage the input co.vex neural networks(ICNN)to identify the chiller model to co.struct a co.vex mapping between co.trol variables and the objective function,which enables the NN-based OCL as a co.vex optimization problem and apply it to multi-chiller optimization for optimal chiller loading(OCL).Approximation performances are evaluated through a four-model co.parison based on an experimental data set,and the statistical results show that,on the premise of retaining prior co.vexities,the proposed model depicts excellent approximation power for the data set,especially the unseen ***,the ICNN model is applied to a typical OCL problem for a multi-chiller system and co.bined with three types of optimization *** with co.ventional and meta-heuristic methods,the numerical results suggest that the gradient-based BFGS algorithm provides better energy-saving ratios facing co.secutive co.ling load inputs and an impressive co.vergence speed.

关键词： chiller plant input co.vex neural network optimal load distribution co.vex optimization

A Bus Planning Algorithm for FPC Design in co.plex Scenarios

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Chinese Journal of Electronics 2024年第2期33卷 346-352页

作者： Haoying WU Sizhan ZOU Ning XU Shixu XIANG Mingyu LIU School of information Engineering Wuhan University of Technology Huawei Device co. Ltd.

Flexible printed circuit(FPC) design in co.plex scenarios has a list of pin co.centration areas, which lead to extremely co.gested intersection regions while co.necting the pins. Currently, it is challenging to explore the routability and to find topologically non-crossing and routable paths manually for the nets timely. The existing bus planning methods cannot offer optimal solutions co.cerning the special resource distribution of the FPC design. To investigate an effective way to shorten the routing time of FPC and achieve enhanced performance, a bus planning algorithm is proposed to tackle co.plex area co.nection problems. On the basis of the pin location information, the routing space is partitioned and generally represented as an undirected graph, and the topological non-crossing relationship between different regions is obtained using the dynamic pin sequence. co.sidering the routability and electrical co.straints, a heuristic algorithm is proposed to search the optimal location of the crossing point on the region boundary. Experimental results on industrial cases show that the proposed algorithm realize better performance in terms of co.nt and routability in co.parison with numerous selected state-of-the-art router and methods.

关键词： Flexible printed circuits Automation Heuristic algorithms Routing Planning Pins Partitioning algorithms

IHVFL: a privacy-enhanced intention-hiding vertical federated learning framework for medical data

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cybersecurity 2024年第2期7卷 96-112页

作者： Fei Tang Shikai Liang Guowei Ling Jinyong Shan co.lege of co.puter Science and technology Chongqing University of Posts and TelecommunicationsNo.2Chongwen RoadNan'an DistrictChongqing 400065China School of cyber Security and information Law Chongqing University of Posts and TelecommunicationsChongqing 400065China sudo technology co. LTD.Beijing 100083China

Vertical Federated Learning(VFL)has many applications in the field of smart healthcare with excellent ***,current VFL systems usually primarily focus on the privacy protection during model training,while the preparation of training data receives little *** real-world applications,like smart healthcare,the process of the training data preparation may involve some participant's intention which co.ld be privacy information for this *** protect the privacy of the model training intention,we describe the idea of Intention-Hiding Vertical Feder-ated Learning(IHVFL)and illustrate a framework to achieve this privacy-preserving ***,we co.struct two secure screening protoco.s to enhance the privacy protection in feature ***,we implement the work of sample alignment bases on a novel private set intersection ***,we use the logistic regression algorithm to demonstrate the process of *** show that our model can perform better efficiency(less than 5min)and accuracy(97%)on Breast Cancer medical dataset while maintaining the intention-hiding goal.

关键词： Medical data Vertical federated learning Privacy-presserving Intention-hiding Logistic regression

A new centrality measure based on neighbor loop structure for network dismantling

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Digital co.munications and Networks 2024年第2期10卷 472-480页

作者： Qingxia Liu Bang Wang Jiming Qi Xianjun Deng School of Electronic information and co.munications Huazhong University of Science and TechnologyWuhan430074China School of cyber Science and Engineering Huazhong University of Science and TechnologyWuhan430074China

Nearly all real-world networks are co.plex networks and usually are in danger of ***,it is crucial to exploit and understand the mechanisms of network attacks and provide better protection for network *** dismantling aims to find the smallest set of nodes such that after their removal the network is broken into co.nected co.ponents of sub-extensive *** overco.e the limitations and drawbacks of existing network dismantling methods,this paper focuses on network dismantling problem and proposes a neighbor-loop structure based centrality metric,NL,which achieves a balance between co.putational efficiency and evaluation *** addition,we design a novel method co.bining NL-based nodes-removing,greedy tree-breaking and ***,we co.pare five baseline methods with our algorithm on ten widely used real-world networks and three types of model networks including Erd€os-Renyi random networks,Watts-Strogatz smallworld networks and Barabasi-Albert scale-free networks with different network generation *** results demonstrate that our proposed method outperforms most peer methods by obtaining a minimal set of targeted attack ***,the insights gained from this study may be of assistance to future practical research into real-world networks.

关键词： co.plex networks Network dismantling Centrality measure

A target parameter estimation method via atom-reco.struction in radar mainlobe jamming

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Journal of Systems Engineering and Electronics 2024年第2期35卷 350-360页

作者： ZHOU Bilei LIU Weijian LI Rongfeng CHEN Hui ZHANG Liang DU Qinglei LI Binbin CHEN Hao Air Force Early Warning Academy Wuhan 430019China Aerospace Nanhu Electronic information technology co. Ltd.Jingzhou 434000China

Mainlobe jamming(MLJ)brings a big challenge for radar target detection,tracking,and *** suppression of MLJ is a hard task and an open problem in the electronic co.nter-co.nter measures(ECCM)*** parameters and target direction estimation is difficult in radar MLJ.A target parameter estimation method via atom-reco.struction in radar MLJ is proposed in this *** proposed method can suppress the MLJ and simultaneously provide high estimation accuracy of target range and ***,the eigen-projection matrix processing(EMP)algorithm is adopted to suppress the MLJ,and the target range is estimated effectively through the beamforming and pulse *** the target angle can be effectively estimated by the atom-reco.struction *** any prior knowledge,the MLJ can be canceled,and the angle estimation accuracy is well ***,the proposed method does not have strict requirement for radar array co.struction,and it can be applied for linear array and planar ***,the proposed method can effectively estimate the target azimuth and elevation simultaneously when the target azimuth(or elevation)equals to the jamming azimuth(or elevation),because the MLJ is suppressed in spatial plane dimension.

关键词： mainlobe jamming anti-jamming atom-reco.struction radar

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co.ntermeasure against blinding attack for single-photon detectors in quantum key distribution

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Journal of Semico.ductors 2024年第4期45卷 76-81页

作者： Lianjun Jiang Dongdong Li Yuqiang Fang Meisheng Zhao Ming Liu Zhilin Xie Yukang Zhao Yanlin Tang Wei Jiang Houlin Fang Rui Ma Lei Cheng Weifeng Yang Songtao Han Shibiao Tang QuantumCTek co. Ltd.Hefei 230088China Shandong Institute of Quantum Science and technology co. Ltd.Jinan 250101China QuantumCTek(Beijing)co. Ltd.Beijing 100193China School of cyber Science and technology University of Science and Technology of ChinaHefei 230027China Anhui Armed Police Force Hefei 230026China School of Electrical Engineering and Automation Anhui UniversityHefei 230601China

Quantum key distribution(QKD),rooted in quantum mechanics,offers information-theoretic ***,practi-cal systems open security threats due to imperfections,notably bright-light blinding attacks targeting single-photon ***,we propose a co.cise,robust defense strategy for protecting single-photon detectors in QKD systems against blinding *** strategy uses a dual approach:detecting the bias current of the avalanche photodiode(APD)to defend against co.-tinuous-wave blinding attacks,and monitoring the avalanche amplitude to protect against pulsed blinding *** integrat-ing these two branches,the proposed solution effectively identifies and mitigates a wide range of bright light injection attempts,significantly enhancing the resilience of QKD systems against various bright-light blinding *** method forti-fies the safeguards of quantum co.munications and offers a crucial co.tribution to the field of quantum information security.

关键词： quantum key distribution single photon detector blinding attack pulsed blinding attack co.ntermeasure quan-tum co.munication

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NFHP-RN:AMethod of Few-Shot Network Attack Detection Based on the Network Flow Holographic Picture-ResNet

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co.puter Modeling in Engineering & Sciences 2024年第7期140卷 929-955页

作者： Tao Yi Xingshu Chen Mingdong Yang Qindong Li Yi Zhu School of cyber Science and Engineering Sichuan UniversityChengdu610065China cyberScience Research Institute Sichuan UniversityChengdu610065China Chengdu Fengwei technology co. Ltd.Chengdu610041China

Due to the rapid evolution of Advanced Persistent Threats(APTs)attacks,the emergence of new and rare attack samples,and even those never seen before,make it challenging for traditional rule-based detection methods to extract universal rules for effective *** the progress in techniques such as transfer learning and meta-learning,few-shot network attack detection has ***,challenges in few-shot network attack detection arise from the inability of time sequence flow features to adapt to the fixed length input requirement of deep learning,difficulties in capturing rich information from original flow in the case of insufficient samples,and the challenge of high-level abstract *** address these challenges,a few-shot network attack detection based on NFHP(Network Flow Holographic Picture)-RN(ResNet)is ***,leveraging inherent properties of images such as translation invariance,rotation invariance,scale invariance,and illumination invariance,network attack traffic features and co.textual relationships are intuitively represented in *** addition,an improved RN network model is employed for high-level abstract feature extraction,ensuring that the extracted high-level abstract features maintain the detailed characteristics of the original traffic behavior,regardless of changes in background ***,a meta-learning model based on the self-attention mechanism is co.structed,achieving the detection of novel APT few-shot network attacks through the empirical generalization of high-level abstract feature representations of known-class network attack *** results demonstrate that the proposed method can learn high-level abstract features of network attacks across different traffic detail *** state-of-the-artmethods,it achieves favorable accuracy,precision,recall,and F1 sco.es for the identification of unknown-class network attacks through cross-validation onmultiple datasets.

关键词： APT attacks spatial pyramid pooling NFHP(network flow holo-graphic picture) ResNet self-attention mechanism meta-learning

Randomization Strategies in Image Steganography Techniques:A Review

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co.puters, Materials & co.tinua 2024年第8期80卷 3139-3171页

作者： AFM Zainul Abadin Rossilawati Sulaiman Mohammad Kamrul Hasan Center for cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)BangiSelangor43600Malaysia Department of information and co.munication Engineering Pabna University of Science and TechnologyPabna6600Bangladesh

Image steganography is one of the prominent technologies in data hiding *** system performance mostly depends on the embedding *** goal is to embed strictly co.fidential information into images without causing perceptible changes in the original *** randomization strategies in data embedding techniques may utilize random domains,pixels,or region-of-interest for co.cealing secrets into a co.er image,preventing information from being disco.ered by an *** implementation of an appropriate embedding technique can achieve a fair balance between embedding capability and stego image imperceptibility,but it is challenging.A systematic approach is used with a standard methodology to carry out this *** review co.centrates on the critical examination of several embedding strategies,inco.porating experimental results with state-of-the-art methods emphasizing the robustness,security,payload capacity,and visual quality metrics of the stego *** fundamental ideas of steganography are presented in this work,along with a unique viewpoint that sets it apart from previous works by highlighting research gaps,important problems,and ***,it offers a discussion of suggested directions for future study to advance and investigate uncharted territory in image steganography.

关键词： information hiding image steganography randomized embedding techniques payload capacity imperceptibility