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24th Asia-Pacific Network Operations and Management Symposium, APNOMS 2023

作者： He, Heng Yang, Sen Zhou, Xiaohu Wang, Jia School of Computer Science and Technology Wuhan University of Science and Technology Wuhan430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan430081 China Guilin Medical University Guilin541001 China

ISBN: (纸本)9788995004395

The use of anonymous network has increased dramatically due to the development of network technology and people focus on the network security and privacy. However, anonymous networks are often used for illegal purposes, which has caused a significant increase in illegal transactions in the network. Therefore, it is necessary to investigate methods that can trace illegal transactions in anonymous networks. In this paper, we propose a universal and lightweight Software Defined Network (SDN)-based Meter table Watermarking Traceback scheme (SMWT), which is an active watermarking technology. SMWT uses the Bose-Chaudhuri-Hocquenghem (BCH) code as the encoding method and the flow rate as the carrier for the watermark to effectively trace flows of different communication protocols in various anonymous network environments. It utilises the SDN controller to install flow table entries and meter entries to the SDN switch, which can efficiently change the flow rate and embed the watermark in the flow in a stealthily manner. After the flow passes through the anonymous network, the SDN switch can extract the watermark using the flow rate and identify the two communicating parties. We have conducted experiments to evaluate SMWT in a real anonymous network Tor. Compared with other relevant existing schemes, SMWT demonstrated a higher detection rate of 96.7% and a lower false positive rate of 0.3%, as well as high flexibility and stealthiness, low deployment difficulty and controller load. Copyright 2023 KICS.

关键词： Network security

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Using Lock-Free Design for Throughput-Optimized Cache Eviction

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Proceedings of the ACM on Measurement and Analysis of Computing systems 2025年第2期9卷 1-28页

作者： Chao Dong Fang Wang Hong Jiang Dan Feng Key Laboratory of Information Storage System Wuhan National Laboratory for Optoelectronics) Engineering Research Center of data storage systems and Technology School of Computer Science and Technology) Ministry of Education of China Huazhong University of Science and Technology Wuhan Hubei China Department of Computer Science and Engineering University of Texas at Arlington Arlington Texas USA

In large-scale information systems, storage device performance continues to improve while workloads expand in size and access characteristics. This growth puts tremendous pressure on caches and storage hierarchy in terms of concurrent throughput. However, existing cache eviction policies often struggle to provide adequate concurrent throughput due to their reliance on coarse-grained locking mechanisms and complex data structures. This paper presents a practical approach to cache eviction algorithm design, called Mobius, that optimizes the concurrent throughput of caches and reduces cache operation latency by utilizing lock-free data structures, while maintaining comparable hit ratios. Mobius includes two key designs. First, Mobius employs two lock-free FIFO queues to manage cache items, ensuring that all cache operations are executed efficiently in parallel. Second, Mobius integrates a consecutive detection mechanism that merges multiple modifications during eviction into a single operation, thereby reducing data races. Extensive evaluations using both synthetic and real-world workloads from high-concurrency clusters demonstrate that Mobius achieves a concurrent-throughput improvement ranging from 1.2× to 8.5× over state-of-the-art methods, while also maintaining lower latency and comparable cache hit ratios. The implementation of Mobius in CacheLib and RocksDB highlights its effectiveness in enhancing cache performance in practical scenarios.

关键词： cache eviction policy concurrency fifo queue lock-free throughput

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Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation

arXiv

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arXiv 2024年

作者： Huang, Tianhao Pan, Xuan Cai, Xiangrui Zhang, Ying Yuan, Xiaojie College of Computer Science Nankai University China Tianjin Key Laboratory Network and Data Security Technology Tianjin China Key Laboratory of Data and Intelligent System Security Ministry of Education China Science and Technology on Communication Networks Laboratory Shijiazhuang China

Next Point-of-Interests (POIs) recommendation task aims to provide a dynamic ranking of POIs based on users’ current check-in trajectories. The recommendation performance of this task is contingent upon a comprehensive understanding of users’ personalized behavioral patterns through Location-based Social Networks (LBSNs) data. While prior studies have adeptly captured sequential patterns and transitional relationships within users’ check-in trajectories, a noticeable gap persists in devising a mechanism for discerning specialized behavioral patterns during distinct time slots, such as noon, afternoon, or evening. In this paper, we introduce an innovative data structure termed the "Mobility Tree", tailored for hierarchically describing users’ check-in records. The Mobility Tree encompasses multi-granularity time slot nodes to learn user preferences across varying temporal periods. Meanwhile, we propose the Mobility Tree Network (MTNet), a multitask framework for personalized preference learning based on Mobility Trees. We develop a four-step node interaction operation to propagate feature information from the leaf nodes to the root node. Additionally, we adopt a multitask training strategy to push the model towards learning a robust representation. The comprehensive experimental results demonstrate the superiority of MTNet over ten state-of-the-art next POI recommendation models across three real-world LBSN datasets, substantiating the efficacy of time slot preference learning facilitated by Mobility Tree. Copyright © 2024, The Authors. All rights reserved.

关键词： Trees (mathematics)

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Cross-chain Transaction Tracking Protocol based on Multi-dimensional Digital Watermarking Fingerprints

Cross-chain Transaction Tracking Protocol based on Multi-dim...

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Frontiers technology of information and computer (ICFTIC), IEEE International Conference on

作者： Duanzhen Li Shujiang Xu Haochen He Hongrui Xue Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan PR China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan PR China

ISBN: (数字)9798331541750

ISBN: (纸本)9798331541767

Cross-chain technology plays a critical role in the process of interconnecting blockchains. However, all attention has been focused on how to achieve efficient cross-chain interoperability protocols, thus neglecting the most important security issues in cross-chain data interaction. Frequent network attacks and data privacy leaks have sounded the alarm for the safety of cross-chain data transactions. How to solve the problem of data ownership tracking in cross-chain transactions has become the top priority. This paper designs a cross-chain transaction tracking protocol based on multi-dimensional digital watermark fingerprints, using robust watermark, fragile watermark, and user identity key to achieve multi-dimensional tracking and supervision of cross-chain data transactions. Finally, this paper analyzes the feasibility and efficiency of the proposed protocol through experiments.

关键词： Data privacy Protocols Watermarking Fingerprint recognition Blockchains Safety Discrete wavelet transforms Interoperability

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DTAME: A Interpretable and Efficient Approach for ABAC Policy Mining and Evaluation Using Decision Trees

DTAME: A Interpretable and Efficient Approach for ABAC Polic...

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IEEE International Conference on Trust, security and Privacy in Computing and Communications (TrustCom)

作者： Zejun Lan Jianfeng Guan Xianming Gao Tao Feng Kexian Liu Jianbang Chen State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China National Key Laboratory of Science and Technology on Information System Security Institute of System Engineering PLA Academy of Military Science Beijing China

ISBN: (数字)9798331506209

ISBN: (纸本)9798331506216

Attribute-Based Access Control (ABAC) has been chosen to replace the traditional access control model due to its dynamics, flexibility and scalability recently. However, during the migration and deployment process of ABAC policies, the key issue is how to mine accurate access control policies and quickly evaluate the policies when an access request arrives. Previous approaches typically addressed these two aspects separately, and the emergence of integrated solutions has provided new insights for addressing this issue. However, despite the high accuracy of the integrated solution in policy evaluation, it still falls short in terms of interpretability and performance. Therefore, this paper proposes a decision tree based ABAC policy mining and policy evaluation (DTAME) scheme, which employs different policy mining and evaluation algorithms based on various datasets. For access control lists, we utilize decision tree algorithms to mine ABAC policies and conduct policy evaluations based on policy trees. For access control logs, we adopt a decision tree to achieve performance approximating that of XGBoost. Experimental results show that the scheme offers superior interpretability and policy evaluation performance at the expense of a certain degree of accuracy.

关键词： Access control computer science Privacy Accuracy Scalability Process control Approximation algorithms Maintenance Decision trees Standards

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A Time Deterministic Dynamic Segmentation Scheduling Algorithm 9

A Time Deterministic Dynamic Segmentation Scheduling Algorit...

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9th IEEE International Conference on Cyber security and Cloud Computing and 8th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2022

作者： Gu, Haonan Wu, Jing Guo, Yi Wuhan University of Science and Technology College of Computer Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

ISBN: (数字)9781665480666

ISBN: (纸本)9781665480666

This paper proposed a soft real-time scheduling algorithm 'time-deterministic dynamic partitioning scheduling' for multimedia tasks in embedded devices. We established a new model based on the characteristics of embedded devices. We developed a pre-scheduling mechanism to select a suitable scheduling strategy based on the actual situation of the task set in the offline cache and to rearrange the task order so as to guarantee the reliability and real-time performance of the system while having higher flexibility and stability. The mechanism also completes the tasks assigned by the system in a stable manner with high utilization. © 2022 IEEE.

关键词： Scheduling algorithms

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A Survey of Output Feedback Robust MPC for Linear Parameter Varying systems

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1717-1751页

作者： Xubin Ping Jianchen Hu Tingyu Lin Baocang Ding Peng Wang Zhiwu Li the Department of Automation School of Electro-Mech-anical EngineeringXidian UniversityXi’an 710071China the Ministry of Education Key Laboratory for Intelligent Networks and Network Security School of Automation Science and EngineeringFaculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China the State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China the College of Automation Chongqing University of Posts and TelecommunicationsChongqing 400065China the Information and Navigation College Air Force Engineering UniversityXi’an 710077China IEEE the School of Electro-Mechanical Engineering Xidian UniversityXi’an 710071 the Institute of System Engineering Macao University of Science and TechnologyMacao SARChina

For constrained linear parameter varying(LPV)systems,this survey comprehensively reviews the literatures on output feedback robust model predictive control(OFRMPC)over the past two decades from the aspects on motivations,main contributions,and the related *** to the types of state observer systems and scheduling parameters of LPV systems,different kinds of OFRMPC approaches are summarized and *** extensions of OFRMPC for LPV systems to other related uncertain systems are also *** methods of dealing with system uncertainties and constraints in different kinds of OFRMPC optimizations are *** issues on OFRMPC optimizations for LPV systems are ***,the future research directions on OFRMPC for LPV systems are suggested.

关键词： Linear parameter varying(LPV)systems model predictive control(MPC) output feedback robust control

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Anomalous negative magnetoresistance in quantum dot Josephson junctions with Kondo correlations

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science China(Physics,Mechanics & Astronomy) 2024年第8期67卷 3-13页

作者： Mingtang Deng Chunlin Yu Guangyao Huang Rosa López Philippe Caroff Sepideh Ghalamestani Gloria Platero Hongqi Xu Institute for Quantum Information&State Key Laboratory of High Performance Computing College of Computer Science and TechnologyNational University of Defense TechnologyChangsha 410073China NanoLund and Division of Solid State Physics Lund UniversityLund S-22100Sweden China Greatwall Quantum Laboratory Changsha 410006China Institut de Física Interdisciplinària i de Sistemes Complexos IFISC Palma de Mallorca E-07122Spain Instituto de Ciencia de Materiales de Madrid Madrid 28049Spain Beijing Key Laboratory of Quantum Devices Key Laboratory for the Physics and Chemistry of Nanodevicesand Department of ElectronicsPeking UniversityBeijing 100871China Beijing Academy of Quantum Information Sciences Beijing 100193China Hefei National Laboratory Hefei 230088China

The interplay between superconductivity and the Kondo effect has stimulated significant interest in condensed matter *** compete when their critical temperatures are close and can give rise to a quantum phase transition that can mimic Majorana zero ***,we have fabricated and measured Al-InSb nanowire quantum dot-Al *** the Kondo regime,a supercurrent-induced zero-bias conductance peak *** zero-bias peak shows an anomalous negative magnetoresistance(NMR)at weak magnetic *** attribute this anomalous NMR to quasiparticle trapping at vortices in the superconductor leads as a weak magnetic field is *** trapping effect lowers the quasiparticle-caused dissipation and thus enhances the Josephson *** work connects the vortex physics and the supercurrent tunneling in Kondo regimes and can help further understand the physics of Josephson quantum dot system.

关键词： quantum dot Kondo correlation InSb nanowire quasiparticle trapping

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A Data-free Black-box Attack for Generating Transferable Adversarial Examples 24

A Data-free Black-box Attack for Generating Transferable Adv...

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24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data science and systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Wang, Chenxu Zhang, Ming Zhao, Jinjing Kuang, Xiaohui Zhang, Han Zhang, Xuhong National Key Laboratory of Science and Technology on Information System Security Beijing China Tsinghua University Insc and BNRist Beijing China School of Software Technology Zhejiang University Hangzhou China

ISBN: (纸本)9798350319934

Deep neural networks (DNNs) are vulnerable to adversarial examples, which are maliciously crafted to fool DNN models. Adversarial examples often exhibit the property of transferability, which means that adversarial examples generated for one model can also fool another. Most existing transfer-based black-box attacks require the training data of the target model to improve the transferability of adversarial examples. However, it is difficult to obtain the training data in reality. In this paper, we propose a data-free black-box attack for crafting adversarial examples. The attack needs no knowledge about the training data of the target model. We first construct a dataset with a classification task similar to the target model. Then we train surrogate models based on the pretrained models by using transfer learning. Finally, the surrogate models are ensembled for generating adversarial examples to attack the target model. Extensive experiments show that the adversarial examples crafted by our method can effectively transfer to the target model. Our method outperforms the baselines and the best ensemble-based attack improves the attack success rates by a margin of 15% ∼ 21 %. Our research shows that DNN s are still at risk even if attackers cannot access the training data. © 2022 IEEE.

关键词： Deep neural networks

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A Blockchain Based system for Multi-level Log Storage 7

A Blockchain Based System for Multi-level Log Storage

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7th International Symposium on Advances in Electrical, Electronics, and computer Engineering

作者： Xu, Gang Yun, Fan Liu, Xin Chen, Xiu-Bo School of Information Science and Technology North China University of Technology Beijing100144 China Advanced Cryptography and System Security Key Laboratory of Sichuan Province Chengdu610025 China School of Information Engineering Inner Mongolia University of Science and Technology Baotou014010 China Information Security Center State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781510656437

With the development of the Internet, many log data are generated in the server. How to ensure the security of log data in the server is a problem that needs to be solved. At present, log data storage in most servers relies on a centralized log database or local files. With the increase of running time and scale, there are great challenges in data security and stability. Meanwhile, attackers can tamper with the server's logs to evade tracking. To solve the above problems, this paper proposes a secure multi-level log data storage system based on permissioned blockchain and permission-less blockchain, with high throughput and low cost. In addition, different encryption methods are adopted for different levels of log data to provide higher security. © 2022 SPIE. All rights reserved.

关键词： Blockchain

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