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Robust MVDR beamforming based on covariance matrix reconstruction

Science China(information Sciences) 2013年第4期56卷 28-39页

作者： MU PengCheng LI Dan YIN QinYe GUO Wei Ministry of Education Key Lab for Intelligent Networks and Network Security School of Electronics and Information EngineeringXi'an Jiaotong University

The minimum variance distortionless response(MVDR) beamformer has better resolution and much better interference rejection capability than the data-independent ***,the former is more sensitive to errors,such as the steering vector errors caused by direction of arrival mismatch,imprecise array calibration or any other possible factors,especially in the case of high signal-to-noise ratio(SNR).A new robust MVDR beamformer against the general steering vector errors is proposed in this *** method is based on the reconstruction of the covariance matrix which aims to reduce the power of the signal of interest(SOI) in the covariance *** eigenanalysis is used in the process of removing the SOI component and modifying the residual covariance *** results show that the proposed method has excellent signal-to-interference-plus-noise ratio(SINR) performance under the mismatch condition.

关键词： MVDR beamforming steering vector error eigenanalysis covariance matrix reconstruction signal-to-interference-plus-noise ratio

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A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object Detection

arXiv

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arXiv 2025年

作者： Fu, Shenghao Yan, Junkai Yang, Qize Wei, Xihan Xie, Xiaohua Zheng, Wei-Shi School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China Peng Cheng Laboratory China Tongyi Lab Alibaba Group China School of Computer Science and Engineering Sun Yat-sen University Guangdong Guangzhou China Guangdong Key Laboratory of Information Security Technology Sun Yat-sen University Guangdong Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen University Ministry of Education Guangdong Guangzhou China

Open-vocabulary object detection (OVD) aims to detect objects beyond the training annotations, where detectors are usually aligned to a pre-trained vision-language model, e.g., CLIP, to inherit its generalizable recognition ability so that detectors can recognize new or novel objects. However, previous works directly align the feature space with CLIP and fail to learn the semantic knowledge effectively. In this work, we propose a hierarchical semantic distillation framework named HD-OVD to construct a comprehensive distillation process, which exploits generalizable knowledge from the CLIP model in three aspects. In the first hierarchy of HD-OVD, the detector learns fine-grained instance-wise semantics from the CLIP image encoder by modeling relations among single objects in the visual space. Besides, we introduce text space novel-class-aware classification to help the detector assimilate the highly generalizable classwise semantics from the CLIP text encoder, representing the second hierarchy. Lastly, abundant image-wise semantics containing multi-object and their contexts are also distilled by an image-wise contrastive distillation. Benefiting from the elaborated semantic distillation in triple hierarchies, our HD-OVD inherits generalizable recognition ability from CLIP in instance, class, and image levels. Thus, we boost the novel AP on the OV-COCO dataset to 46.4% with a ResNet50 backbone, which outperforms others by a clear margin. We also conduct extensive ablation studies to analyze how each component works. Code is available at https://***/iSEE-laboratory/HD-OVD. Copyright © 2025, The Authors. All rights reserved.

关键词： Semantics

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Modeling and Defending Passive Worms over Unstructured Peer-to-Peer networks

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Transactions of Tianjin University 2008年第1期14卷 66-72页

作者：王方伟张运凯马建峰 Key Laboratory of Computer Networks and Information Security of Ministry of Education Xidian University Network Center Hebei Normal University

Passive worms can passively propagate through embedding themselves into some sharing files, which can result in significant damage to unstructured P2P networks. To study the passive worm behaviors, this paper firstly analyzes and obtains the average delay for all peers in the whole transmitting process due to the limitation of network throughput, and then proposes a mathematical model for the propagation of passive worms over the unstructured P2P networks. The model mainly takes the effect of the network throughput into account, and applies a new healthy files dissemination-based defense strategy according to the file popularity which follows the Zipf distribution. The simulation results show that the propagation of passive worms is mainly governed by the number of hops, initially infected files and uninfected files. The larger the number of hops, the more rapidly the passive worms propagate. If the number of the initially infected files is increased by the attackers, the propagation speed of passive worms increases obviously. A larger size of the uninfected file results in a better attack performance. However, the number of files generated by passive worms is not an important factor governing the propagation of passive worms. The effectiveness of healthy files dissemination strategy is verified. This model can provide a guideline in the control of unstructured P2P networks as well as passive worm defense.

关键词： network security unstructured peer-to-peer networks passive worms propagationmodel patch dissemination strategy

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Cryptanalysis and Improvement of a Quantum Secret Sharing Protocol between Multiparty and Multiparty with Single Photons and Unitary Transformations

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Chinese Physics Letters 2010年第6期27卷 13-15页

作者： ZHU Zhen-Chao ZHANG Yu-Qing Key Lab of Computer Networks and Information Security of Ministry of Education Xidian University Xi'an 710071 National Computer Network Intrusion Protection Center Graduate University Chinese Academy of Sciences Beijing 100049

In a recent paper [Chin. Phys. Lett 25（2008）1187], a quantum secret sharing scheme between multiparty and multiparty was presented. We show that the protocol is not secure because the last member in Alice＇s group can illegally obtain most secret messages without introducing any error. Finally, a possible way to avoid the security flaw is suggested.

关键词： Secretion Cryptanalysis Improvement of a Quantum

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Broadcast encryption schemes based on RSA

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The Journal of China Universities of Posts and Telecommunications 2009年第1期16卷 69-75页

作者： MU Ning-bo HU Yu-pu OU Hai-wen The Ministry of Education Key Laboratory of Computer Networks and Information Security Xidian University Xi'an 710071 China Key Laboratory of Information Security and Secrecy Beijing Institute of Electronic Science and Technology Beijing 100070 China

Three broadcast schemes for small receiver set using the property of RSA modulus are presented. They can solve the problem of data redundancy when the size of receiver set is small. In the proposed schemes, the center uses one key to encrypt the message and can revoke authorization conveniently. Every authorized user only needs to store one decryption key of a constant size. Among these three schemes, the first one has indistinguishability against adaptive chosen ciphertext attack （IND-CCA2） secure, and any collusion of authorized users cannot produce a new decryption key but the sizes of encryption modulus and ciphertext are linear in the number of receivers. In the second scheme, the size of ciphertext is half of the first one and any two authorized users can produce a new decryption key, but the center can identify them using the traitor tracing algorithm. The third one is the most efficient but the center cannot identify the traitors exactly.

关键词： broadcast encryption traitor tracing authorization revocation RSA

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Computing Power in the Sky: Digital Twin-assisted Collaborative Computing with Multi-UAV networks

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IEEE Transactions on Vehicular Technology 2025年

作者： Wang, Chao Han, Yu Zhang, Long Jia, Ziye Zhang, Hongliang Hong, Choong Seon Han, Zhu Hebei University of Engineering School of Information and Electrical Engineering Handan056038 China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Jinan250014 China Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Nanjing211106 China Southeast University National Mobile Communications Research Laboratory Jiangsu Nanjing211111 China Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Kyung Hee University Department of Computer Science and Engineering Gyeonggi-do Yongin-si17104 Korea Republic of University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

The collaboration of computing powers (CPs) among unmanned aerial vehicles (UAVs)-mounted edge servers is essential to handle data-intensive tasks of user equipments (UEs). This paper presents a multi-UAV computing power network (CPN) that orchestrates the CP resources of edge servers to cooperatively process tasks through collaborative computing. Due to the frequent interactions among edge servers and the increased complexities for large-scale task executions, we propose a digital twin (DT)-driven multi-UAV CPN framework, where the aerial DT network is created as a digital replica of the multi-UAV network to assist collaborative computing. A joint optimization problem of the service association, offloading power control, task partitions, CP allocation, and UAV trajectory design is formulated to minimize the long-term average delay of UEs. We use the Lyapunov technique to tackle the long-term energy constraint, forming a tractable optimization problem, which is modeled as a Markov decision process to balance the UAV's deficit queue stability and the UE's task completion delay. A hybrid soft actor-critic based deep reinforcement learning algorithm is developed to optimize the joint design by sampling the hybrid action from the Gumbel and Gaussian distributions. Simulation results verify that the multi-UAV CPN contributes to significant performance gains when supported by DTs. © 2025 IEEE.

关键词： Markov processes

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On cross-correlation indicators of an S-box

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Frontiers of computer Science 2011年第4期5卷 448-453页

作者： Sheng GAO Wenping MA Zepeng ZHUO Fenghe WANG Key Laboratory of Computer Network and Information Security Ministry of Education Xidian University Xi＇an 710071 China State Key Laboratory of Integrated Service Networks Xidian University Xi＇an 710071 China

Substitution boxes （S-boxes） are often used as the most important nonlinear components in many symmetric encryption algorithms. The cryptographic properties of an S-box directly affect the security of the whole cipher system. Recently, generalized global avalanche characteristics （GGAC） were introduced to measure the correlation between two arbitrary Boolean functions. In this paper, to better evaluate the security of an S-box, we present two cross-correlation indicators for it. In addition, by studying the related properties of the cross-correlation between two balanced Boolean func- tions, we propose the lower bounds on the sum-of-squares indicator related to GGAC for two balanced functions and also for an S-box.

关键词： cryptography Boolean functions substitu-tion boxes balancedness generalized global avalanchecharacteristics cross-correlation

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A sub-spectrum sensing scheme based on reputation in Cognitive Radio networks

A sub-spectrum sensing scheme based on reputation in Cogniti...

引用

International Conference on Computational Intelligence and security

作者： Li, Hongning Pei, Qingqi Jiang, Xiaohong Liang, Rui Geng, Peng Key Lab of Computer Networks and Information Security of Ministry of Education Xidian University Xi'an China

ISBN: (纸本)9780769542973

With the existing Cognitive Radio networks development, we present a sub-spectrum sensing scheme based on reputation, which takes advantage in energy consumption, security and fairness from spectrum sensing, data fusion and spectrum allocation by classifying users and spectrum bands reasonably. The analysis shows that the sub-spectrum sensing scheme can save energy and defense SSDF attacks effectively. © 2010 IEEE.

关键词： Data fusion

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Design of TNC MAP Server based on information fusion

Design of TNC MAP Server based on information fusion

引用

International Conference on computer Application and System Modeling

作者： Chen, Xi Li, XingHua Ma, JianFeng Key Laboratory of Computer Networks and Information Security Ministry of Education Xi' an China

ISBN: (纸本)9781424472369

In current version of Trusted Network Connection (TNC) architecture, IF-MAP protocol creates a structured way to support real-time data interchange and dynamic management. However, there is a big challenge that the MAP Server has to process mass metadata published by all kinds of other security components in trusted network. In this paper, we propose a novel design for MAP (Metadata Access Point) Sever based on information fusion. A module called HLIF (High level information fusion) is implanted to the current MAP Server. The HLIF module correlates metadata and projects threats in the trusted network to ensure the MAP Clients can share real-time information efficiently and make precise policy decisions in anticipation. Detailed analysis reveals that HLIF module effectively enhances the MAP Server's ability of protecting security components from network attacks in trusted network. © 2010 IEEE.

关键词： information fusion

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Auction Theory and Game Theory Based Pricing of Edge Computing Resources: A Survey

引用

IEEE Internet of Things Journal 2025年

作者： Yu, Jiguo Liu, Shun Zou, Yifei Wang, Guijuan Hu, Chunqiang University of Electronic Science and Technology of China School of Information and Software Engineering Chengdu610054 China Qilu University of Technology Big Data Institute Jinan250353 China Qufu Normal University School of Computer Science Shandong Rizhao China Shandong University School of Computer Science and Technology Shandong Qingdao266237 China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan250353 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan250353 China Chongqing University School of Big Data and Software Engineering Chongqing400044 China

The proliferation of Internet of Things (IoT) devices and edge computing applications has heightened the demand for efficient resource allocation and pricing mechanisms. Effective pricing strategies play a crucial role in optimizing resource utilization, reducing latency, and ensuring fair resource distribution among users. Both auction theory and game theory have emerged as fundamental economic frameworks for designing pricing mechanisms in edge computing. This paper presents a comprehensive survey of pricing strategies that leverage both auction and game theory, systematically categorizing existing research based on auction mechanisms and game-theoretic models. Unlike previous surveys that focus solely on auction-based pricing, this work integrates game-theoretic perspectives, providing a holistic analysis of strategic interactions in edge computing resource allocation. Furthermore, we discuss key challenges, emerging trends, and future research directions aimed at enhancing efficiency, fairness, and privacy protection in cloud-edge collaborative computing environments. © 2014 IEEE.

关键词： Mobile edge computing

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