检索结果-内蒙古大学图书馆

arXiv 2023年

作者： Zhou, Guorong Zhao, Liqiang Zheng, Gan Song, Shenghui Zhang, Jiankang Hanzo, Lajos Key Laboratory of Integrated Service Networks Xidian University Xi’an710071 China Key Laboratory of Integrated Service Networks Xidian University Xi’an710071 China School of Engineering University of Warwick CoventryCV4 7AL United Kingdom Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong Department of Computing & Informatics Bournemouth University BH12 5BB United Kingdom School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

As an attractive enabling technology for next-generation wireless communications, network slicing supports diverse customized services in the global space-air-ground integrated network (SAGIN) with diverse resource constraints. In this paper, we dynamically consider three typical classes of radio access network (RAN) slices, namely high-throughput slices, low-delay slices and wide-coverage slices, under the same underlying physical SAGIN. The throughput, the service delay and the coverage area of these three classes of RAN slices are jointly optimized in a non-scalar form by considering the distinct channel features and service advantages of the terrestrial, aerial and satellite components of SAGINs. A joint central and distributed multi-agent deep deterministic policy gradient (CDMADDPG) algorithm is proposed for solving the above problem to obtain the Pareto optimal solutions. The algorithm first determines the optimal virtual unmanned aerial vehicle (vUAV) positions and the inter-slice sub-channel and power sharing by relying on a centralized unit. Then it optimizes the intra-slice sub-channel and power allocation, and the virtual base station (vBS)/vUAV/virtual low earth orbit (vLEO) satellite deployment in support of three © 2023, CC BY-NC-ND.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

Domain generalization for document authentication against practical recapturing attacks

arXiv

引用

arXiv 2021年

作者： Chen, Changsheng Zhang, Shuzheng Lan, Fengbo Huang, Jiwu The Guangdong Key Laboratory of Intelligent Information Processing Shenzhen Key Laboratory of Media Security National Engineering Laboratory for Big Data System Computing Technology College of Electronics and Information Engineering Shenzhen University Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society China

Recapturing attack can be employed as a simple but effective anti-forensic tool for digital document images. Inspired by the document inspection process that compares a questioned document against a reference sample, we proposed a document recapture detection scheme by employing Siamese network to compare and extract distinct features in a recapture document image. The proposed algorithm takes advantages of both metric learning and image forensic techniques. Instead of adopting Euclidean distance-based loss function, we integrate the forensic similarity function with a triplet loss and a normalized softmax loss. After training with the proposed triplet selection strategy, the resulting feature embedding clusters the genuine samples near the reference while pushes the recaptured samples apart. In the experiment, we consider practical domain generalization problems, such as the variations in printing/imaging devices, substrates, recapturing channels, and document types. To evaluate the robustness of different approaches, we benchmark some popular off-the-shelf machine learning-based approaches, a state-of-the-art document image detection scheme, and the proposed schemes with different network backbones under various experimental protocols. Experimental results show that the proposed schemes with different network backbones have consistently outperformed the state-of-the-art approaches under different experimental settings. Specifically, under the most challenging scenario in our experiment, i.e., evaluation across different types of documents that produced by different devices, we have achieved less than 5.00% APCER (Attack Presentation Classification Error Rate) and 5.56% BPCER (Bona Fide Presentation Classification Error Rate) by the proposed network with ResNeXt101 backbone at 5% BPCER decision *** Codes 94A08 Copyright © 2021, The Authors. All rights reserved.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

A VLIW Architecture Stream Cryptographic Processor for Information Security

引用

China Communications 2019年第6期16卷 185-199页

作者： Longmei Nan Xuan Yang Xiaoyang Zeng Wei Li Yiran Du Zibin Dai Lin Chen ASIC&System State Key Laboratory of Fudan University Shanghai 201203China Institute of Information Science and Technology Zhengzhou 450001China Jiangnan Institute of Computing Technology WuXi 214083China

As an important branch of information security algorithms,the efficient and flexible implementation of stream ciphers is *** implementation methods,such as FPGA,GPP and ASIC,provide a good support,but they could not achieve a better tradeoff between high speed processing and high *** has fast processing speed,but its flexibility is poor,GPP has high flexibility,but the processing speed is slow,FPGA has high flexibility and processing speed,but the resource utilization is very *** paper studies a stream cryptographic processor which can efficiently and flexibly implement a variety of stream cipher *** analyzing the structure model,processing characteristics and storage characteristics of stream ciphers,a reconfigurable stream cryptographic processor with special instructions based on VLIW is presented,which has separate/cluster storage structure and is oriented to stream cipher *** proposed instruction structure can effectively support stream cipher processing with multiple data bit widths,parallelism among stream cipher processing with different data bit widths,and parallelism among branch control and stream cipher processing with high instruction level parallelism;the designed separate/clustered special bit registers and general register heaps,key register heaps can satisfy cryptographic *** the proposed processor not only flexibly accomplishes the combination of multiple basic stream cipher operations to finish stream cipher *** has been implemented with 0.18μm CMOS technology,the test results show that the frequency can reach 200 MHz,and power consumption is 310 *** kinds of stream ciphers were realized in the *** key stream generation throughput of Grain-80,W7,MICkey,ACHTERBAHN and Shrink algorithm is 100 Mbps,66.67 Mbps,66.67 Mbps,50 Mbps and 800 Mbps,*** test result shows that the processor presented can achieve good tradeoff between high performance and flexibili

关键词： stream cipher VLIW architecture processor reconfigurable application-specific instruction-set

来源：评论

学校读者我要写书评

暂无评论

Cache Design Effect on Microarchitecture Security: A Contrast between Xuantie-910 and BOOM

Cache Design Effect on Microarchitecture Security: A Contras...

引用

IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Zhe Zhou Xiaoyu Cheng Yang Sun Fang Jiang Fei Tong Yuxing Mao Ruilin Wang Southeast University Nanjing China Purple Mountain Laboratories Nanjing China School of Electrical Engineering Chongqing University Chongqin China State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing China School of Computing Newcastle University United Kingdom

Modern processors make use of optimization techniques such as cache and speculation mechanisms to greatly improve performance. But recent research has found that these techniques can also be exploited by attackers to perform powerful side-channel attacks. A large number of powerful cache-based attacks have been replicated and enhanced over Intel X86- and ARM-based architectures, but there is a relative lack of research on RISC-V-based architectures. Xuantie-910 and BOOM are both RISC-V-based processors. So far, cache-side channels in the unprivileged case of Xuantie-910 have not been proven, while cache attacks against BOOM are proliferating. There are two types of caches, including physically-indexed physically-tagged (PIPT) cache (adopted by Xuantie-910) and virtually-indexed physically-tagged (VIPT) cache (adopted by BOOM), corresponding to two different cache addressing forms. VIPT has higher addressing performance than PIPT, since it can directly obtain cache line index from virtual address. In this paper, we study Xuantie-910 and BOOM to explore the impact of cache design on the security of RISC-V-based microarchitecture. Specifically, we compare the impact of their cache addressing forms on precise flushing of cache lines at specified locations, which plays an important role in cache side-channel attacks. Experimental results show that for the VIPT cache in BOOM, the location-specified cache lines can be accurately flushed, and Spectre attack can be successfully carried out by using the cache side-channel. On the other hand, for the PIPT cache in Xuantie-910, it is impossible for attackers to directly and accurately flush the specified location of cache without affecting performance, which hinders the success of cache side-channel attacks. This provides us with an insight that one can adopt a VIPT-based cache with a mechanism similar to PIPT for preventing the accurate access of cache line index, which can not only keep the advantage of high-performance addre

关键词： Privacy Microarchitecture Program processors Side-channel attacks Security Indexes Optimization

来源：评论

学校读者我要写书评

暂无评论

SFedXL: Semi-Synchronous Federated Learning With Cross-Sharpness and Layer-Freezing

引用

IEEE Internet of Things Journal 2025年

作者： Zhao, Mingxiong Zhao, Shihao Feng, Chenyuan Yang, Howard H. Niyato, Dusit Quek, Tony Q. S. Yunnan University National Pilot School of Software Kunming650500 China Ministry of Education Engineering Research Center of Integration and Application of Digital Learning Technology Beijing100039 China Ministry of Education Engineering Research Center of Cyberspace Kunming650504 China Yunnan University of Finance and Economics Yunnan Key Laboratory of Service Computing Kunming650221 China EURECOM Sophia Antipolis06410 France Zhejiang University University of Illinois Urbana-Champaign Institute Zhejiang University Haining314400 China Nanyang Technological University School of Computer Science and Engineering 639798 Singapore Singapore University of Technology and Design Information Systems Technology and Design Pillar 487372 Singapore

Federated learning (FL) emerges as a potential solution for enabling multiple terminal devices to collaboratively accomplish computational tasks within an Unmanned Aerial Vehicle (UAV) swarm. However, traditional FL approaches, predicated on synchronous data aggregation, are not feasible for a UAV swarm owing to the inherently variable and dynamic nature of their communication networks compared with terrestrial systems. Furthermore, the data procured by UAVs is often highly heterogeneous, attributable to disparities in deployment environments and device attributes. Considering the distinct flight paths and unique operational conditions encountered by different UAVs, a considerable amount of data remains unlabeled. To tackle the challenges associated with asynchronous operations and the prevalence of unlabeled data, we introduce a novel framework termed Semi-synchronous FL with Cross-Sharpness and Layer-Freezing (SFedXL), tailored for a UAV swarm. In particular, we devise a cross-sharpness model training strategy aimed at optimizing the utilization of both labeled and unlabeled datasets. Additionally, we propose an innovative semi-synchronous model aggregation protocol, complemented by client-specific layer-freezing and client cluster scheduling, designed to expedite the training process. Our simulation results indicate that the proposed algorithm surpasses current FL methods in terms of object recognition accuracy and communication efficiency, albeit with a trade-off of increased local computation latency. © 2014 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

智能隐蔽通信——最新进展与未来研究趋势（英文）

引用

Engineering 2025年第1期 101-111页

作者：李赞石嘉司江勃吕璐关磊郝本建铁壮壮王丹洋邢成文 Tony Q.S.Quek State Key Laboratory of Integrated Service Networks School of Telecommunications Engineering Xidian University School of Information and Electronics Beijing Institute of Technology Information System Technology and Design Pillar Singapore University of Technology and Design

With the future substantial increase in coverage and network heterogeneity, emerging networks will encounter unprecedented security threats. Covert communication is considered a potential enhanced security and privacy solution for safeguarding future wireless networks, as it can enable monitors to detect the transmitter's transmission behavior with a low probability, thereby ensuring the secure transmission of private information. Due to its favorable security, it is foreseeable that covert communication will be widely used in various wireless communication settings such as medical, financial, and military scenarios. However, existing covert communication methods still present many challenges toward practical applications. In particular, it is difficult to guarantee the effectiveness of covert schemes based on the randomness of eavesdropping environments, and it is challenging for legitimate users to detect weak covert signals. Considering that emerging artificial-intelligence-aided transmission technologies can open up entirely new opportunities to address the above challenges, we provide a comprehensive review of recent advances and potential research directions in the field of intelligent covert communications in this work. First, the basic concepts and performance metrics of covert communications are introduced. Then, existing effective covert communication techniques in the time, frequency, spatial, power, and modulation domains are reviewed. Finally, this paper discusses potential implementations and challenges for intelligent covert communications in future networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Location-Aware Feature Interaction Learning for Web service Recommendation

Location-Aware Feature Interaction Learning for Web Service ...

引用

IEEE International Conference on Web services (ICWS)

作者： Zhixin Wang Yingyuan Xiao Chenchen Sun Wenguang Zheng Xu Jiao Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Key Laboratory of Computer Vision and System Tianjin University of Technology Tianjin China

ISBN: (数字)9781728187860

ISBN: (纸本)9781728187877

With the increasing prevalence of web services on the World Wide Web, a large number of functionally equivalent web services are provided by different providers. Quality-of-service (QoS), representing the nonfunctional characteristics, plays an important role in dealing with how to recommend the optimal services to users among these candidates. Many existing methods for predicting QoS values of web services show that QoS values are intensively relevant to location due to the great influence of network distance and the internet connection between users and services. In this paper, we propose a novel location-aware feature interaction learning (LAFIL) method for predicting the QoS values of the user-service matrix and then making the recommendation by learning the underlying relation, which is hidden in the features concerning with location information. LAFIL can effectively solve the problems of data sparsity and cold-start by leveraging the location features of both users and services. To evaluate the performance of our proposed method, comprehensive experiments are conducted using a real-world dataset and the results show that our method achieves better QoS prediction accuracy compared to state-of-the-art approaches.

关键词： Learning systems Web services Conferences Neural networks Quality of service Prediction methods Web sites

来源：评论

学校读者我要写书评

暂无评论

Multi-agent SAC approach aided joint trajectory and power optimization for multi-UAV assisted wireless networks with safety constraints

引用

Chinese Journal of Aeronautics 2025年

作者： Jia SHI Zan LI Wentao SUN Zixuan BAI Feng WANG Tony Q. S. QUEK The State Key Laboratory of Integrated Service Networks School of Telecommunications Engineering Xidian University Xi’an 710071 China The Information System Technology and Design Pillar Singapore University of Technology and Design Singapore 487372 Singapore

Unmanned Aerial Vehicles (UAVs) have demonstrated significant potential as Aerial Base Stations (A-BSs) for providing data services to Ground Users (GUs), attributed to their flexibility, cost-effectiveness, and high likelihood of establishing line-of-sight links. In this article, we formulate the joint power and trajectory optimization problem for a multi-UAV assisted wireless network with no-fly zones constrained, aiming at maximizing the Accumulated service Data (ASD) of UAVs and minimizing the Average End Age of Information (AEAoI) of GUs. Specifically, this paper proposes the Multi-Agent worst-case Soft Actor Critic (MA-wcSAC) algorithm with a distributional safety-critic. The simulation results demonstrate that, compared to the Multi-Agent Soft Actor Critic (MA-SAC) algorithm, the proposed algorithm exhibits comparable data service performance while reducing security risks by at least 30% at different risk levels.

关键词： Unmanned Aerial Vehicle (UAV) Age of Information (AoI) Safety Constraint Trajectory Design Power Allocation Multi-Agent worst-case Soft Actor Critic (MA-wcSAC)

来源：评论

学校读者我要写书评

暂无评论

An Improved CTU-level Rate Control Algorithm Based on Temporal Domain Motion Intensity

An Improved CTU-level Rate Control Algorithm Based on Tempor...

引用

International Symposium on Communications and Information Technologies (ISCIT)

作者： Shaokang Wang Songlin Sun Jiaqi Zou Ruotong Wu Zhilei Ling Xingtong Liu School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education China Engineering Research Center of Blockchain and Network Convergence Technology Ministry of Education China Department of Electronics and Electrical Engineering University College London London UK Business School Beijing Normal University Beijing China

Rate control (RC) plays a vital role in Versatile Video Coding (VVC) and video transmission. However, the RC algorithm in VVC remains the problem that the process of updating model parameters only considers the impact of the current encoding block content, without considering the similarity and reference value between different Coding Tree Units (CTUs) in the temporal domain. As a result, the coding performance is not optimal. To address this problem and further optimize the RC of VVC, this paper proposes an improved CTU-level rate control model parameter updating algorithm based on temporal domain motion intensity and we integrate this algorithm into VTM 1S.0. Experiments show that the proposed algorithm achieves better coding performance than anchor with 0.74% and 1.03% BD-rate saving under the Low Delay B (LDB) and Random Access (RA) configurations, respectively, while obtaining smaller bitrate error under common test conditions.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity

arXiv

引用

arXiv 2022年

作者： Li, Jiahao Wang, Quan Mao, Zhendong Guo, Junbo Yang, Yanyan Zhang, Yongdong University of Science and Technology of China Hefei China MOE Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China People's Daily Online Co. Beijing China People's Public Security University of China Beijing China

Chinese spelling check (CSC) is a fundamental NLP task that detects and corrects spelling errors in Chinese texts. As most of these spelling errors are caused by phonetic similarity, effectively modeling the pronunciation of Chinese characters is a key factor for CSC. In this paper, we consider introducing an auxiliary task of Chinese pronunciation prediction (CPP) to improve CSC, and, for the first time, systematically discuss the adaptivity and granularity of this auxiliary task. We propose SCOPE which builds on top of a shared encoder two parallel decoders, one for the primary CSC task and the other for a fine-grained auxiliary CPP task, with a novel adaptive weighting scheme to balance the two tasks. In addition, we design a delicate iterative correction strategy for further improvements during inference. Empirical evaluation shows that SCOPE achieves new state-of-the-art on three CSC benchmarks, demonstrating the effectiveness and superiority of the auxiliary CPP task. Comprehensive ablation studies further verify the positive effects of adaptivity and granularity of the task. Code and data used in this paper are publicly available at https://***/jiahaozhenbang/SCOPE. Copyright © 2022, The Authors. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：