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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Fang, Junzhe Wang, Liyong Ji, Haojie Guo, Teng Hu, Te Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Zaozhuang Network Security Guarantee Center Zaozhuang China

ISBN: (纸本)9781837242672

As a major software testing method, fuzzing has the potential to enhance testing coverage and detect a great number of software vulnerabilities in complex code programs. The current fuzzy testing for multiple input parameters lacks an effective calling mechanism and treats all variant parameter equally, resulting in low efficiency. This paper presents a fuzzy testing method based on Bayesian algorithm for scheduling parameters. Firstly, it combines the characteristics of input parameters to match the appropriate variation strategy. Secondly, it utlizes the Bayesian algorithm to automatically generate weight values for the objective function index during sufficient testing. It evaluates test cases with multi-parameter inputs according to these weights and selects parameters with high utilization value for multiple tests. Finally, in order to evaluate the effectiveness of the method of this paper, an application programming interface of Amercian fuzzy lop (AFL-API) is developed based on the typical fuzzy testing tool AFL++, and compared with AFL++ as a fuzzy testing tool. The experimental results demonstate that when using the AFL-API for program testing, there was 47% increase in coverage rate, 52% increase in the number of discovered crashes, and more program vulnerabilities were identified during actual testing. © The Institution of Engineering & technology 2024.

关键词： Software testing

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A Study on Resource Allocation for Mobile Edge Computing-Assisted Industrial Iot

A Study on Resource Allocation for Mobile Edge Computing-Ass...

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2023 International Conference on Networks, communications and Intelligent Computing, NCIC 2023

作者： Lu, Jie Zhang, Yuexia Li, Junjie Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems Beijing China Control Technology Ministry of Education Beijing Information Science and Technology University Key Laboratory of Modern Measurement Beijing China

ISBN: (纸本)9798350371949

Since the advancement of mobile communication technology, traditional industries are gradually transforming and upgrading, which leads to problems such as insufficient computing resources and excessive energy consumption of Internet of Things (IoT) devices. To address this issue, a resource allocation algorithm for the mobile edge computing-assisted industrial IoT (IIoT) is proposed. First, a mobile edge computing-assisted IIoT network model was constructed. Using the collaboration between IoT devices, mobile edge computing (MEC) servers, and cloud servers, the issue of minimizing all IIoT devices energy cost was proposed. Subsequently, in order to address the optimization issue, obtain its optimal solution, the alternating direction method of multipliers (ADMM) algorithm is introduced. Finally, the ADMM algorithm's convergence was verified through an experimental simulation. In contrast to baseline algorithm 1 and algorithm 2, the ADMM algorithm can significantly diminish energy cost, proving the effectiveness of the proposed scheme. © 2023 IEEE.

关键词： Resource allocation

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An Asymmetric Channel Attack Monitoring Method for Round-Trip Fiber Time Synchronization System 37

An Asymmetric Channel Attack Monitoring Method for Round-Tri...

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37th European Frequency and Time Forum, EFTF 2024

作者： Xu, Xuesong Zhang, Yichen Xu, Hailong Bian, Yiming Li, Yang Xu, Bingjie Yu, Song School of Electronic Engineering Beijing University of Posts and Telecommunications State Key Laboratory of Information Photonics and Optical Communications Beijing100876 China Institute of Southwestern Communication Science and Technology on Communication Security Laboratory Chengdu610041 China

ISBN: (纸本)9798350354270

We present a method for monitoring potential asymmetric channel attacks within a round-trip fiber time synchronization system. This is achieved by observing and tracking the time difference at the remote end. Experimental results show that the attacking operation causes unavoidably obvious fluctuations in time difference, with the time difference measured by our monitoring module changing by nanoseconds when an attack occurs, which can be used for attack recognition. Our work provides a reference for further improving the security of fiber time synchronization systems and lays the foundation for the development of more advanced time synchronization attack identification techniques. © 2024 IEEE.

关键词： asymmetric channel attack attack monitoring round-trip time synchronization

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MULTI-ROBOT PATH PLANNING AND COOPERATIVE OBSTACLE AVOIDANCE BASED ON MONTE-CARLO TREE SEARCH 10

MULTI-ROBOT PATH PLANNING AND COOPERATIVE OBSTACLE AVOIDANCE...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Dai, Juan Jing, Yanzhang Su, Zhong Zhu, Cui Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science & Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing China School of Automation Beijing Information Science & Technology University Beijing China School of Information and Communication Engineering Beijing Information Science & Technology University Beijing China

ISBN: (纸本)9781837242672

With the rapid development of artificial intelligence technologies, multi-robot cooperative processing tasks are becoming more and more common in various applications. However, traditional single-robot planning algorithms show obvious limitations in dealing with complex social interactions and dynamic environments in the real world. To address this challenge, this paper applies Monte Carlo Tree Search (MCTS) to multi-robot path planning and proposes a collaborative obstacle avoidance motion planning algorithm based on MCTS. Specifically, the algorithm prunes the Monte Carlo tree by excluding cases that do not meet the robot speed constraints and potential collisions, which significantly improves the computational speed and success rate of the algorithm, making it applicable to the multi-robot path conflict problem. In addition, we design a policy space that conforms to the robot's operation and a cost function that meets the requirements of robot path planning to plan an efficient cooperative path for each robot. Through a series of simulation experiments, we demonstrate the algorithm's path planning and obstacle avoidance performance in a variety of conflict scenarios. The results show that the method is highly cooperative and effective in complex environments. © The Institution of Engineering & technology 2024.

关键词： Cost functions

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Confident information Coverage Reliability Evaluation for Sensor Networks of Openly Deployed ICP Systems

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2024年 2卷 565-574页

作者： Chen, Suning Yi, Yuanyuan Yi, Lingzhi Liu, Shenghao Deng, Xianjun Xia, Yunzhi Fan, Xiaoxuan Yang, Laurence T. Park, Jong Hyuk Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security The School of Cyber Science and Engineering Wuhan430074 China Huazhong University of Science and Technology School of Journalism and Information Communication Wuhan430074 China Zhongnan University of Economics and Law School of Information and Safety Engineering Wuhan430073 China Seoul National University of Technology Department of Computer Science and Engineering Seoul01811 Korea Republic of

Industrial Cyber-Physical (ICP) systems are integration of computation and physical processes to help achieve operational excellence. As sensors and actuators compose the openly deployed ICP systems and are often susceptible to interference, it puts forward higher requirements on reliability. Reliable coverage ensures sensors acquiring information and therefore coverage reliability of sensor network is studied from various perspectives. However, most existing reliability evaluation methods ignore the belief degree of coverage which influences the reliability to an extent. To evaluate the coverage reliability from the perspective of belief degree, we firstly define Confident information Coverage Belief Reliability (CICBR) based on the Confident information Coverage (CIC) model and D-S evidence theory, which comprehensively considers the coverage rate, interference from the environment, and belief degree of the result. Next, to evaluate the belief degree more reasonably, an Evidence-discount-based basic probability assignment generating method is proposed based on D-S theory to describe the interference in the belief degree. Moreover, a belief evaluation algorithm is proposed to calculate the belief degree of the coverage. Finally, an evidence-Discount-based Confident information Coverage Belief Reliability Evaluation (D-CICBRE) algorithm is proposed to evaluate CICBR. The simulation result indicates that the proposed method can obtain higher and more reasonable reliability. Therefore, the proposed D-CICBRE algorithm can be used to evaluate the reliability of ICP systems more accurately and reasonably. © 2023 IEEE.

关键词： Sensor networks

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Arbitrarily rotating polarization direction and manipulating phases in linear and nonlinear ways using programmable metasurface

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Light(science & Applications) 2024年第9期13卷 1789-1800页

作者： Wei Liu Si Ran Wang Jun Yan Dai Lei Zhang Qiao Chen Qiang Cheng Tie Jun Cui State Key Laboratory of Millimeter Waves Southeast UniversityNanjing 210096China Institute of Electromagnetic Space Southeast UniversityNanjing 210096China Frontiers Science Center for Mobile Information Communication and Security Southeast UniversityNanjing 210096China Electrical Engineering Department Chalmers University of TechnologyGothenburg 41258Sweden

Independent controls of various properties of electromagnetic(EM)waves are crucially required in a wide range of *** metasurface is a promising candidate to provide an advanced platform for manipulating EM ***,we propose an approach that can arbitrarily control the polarization direction and phases of reflected waves in linear and nonlinear ways using a stacked programmable ***,we extend the space-timecoding theory to incorporate the dimension of polarization,which provides an extra degree of freedom for manipulating EM *** proof-of-principle application examples,we consider polarization rotation,phase manipulation,and beam steering at linear and nonlinear *** validation,we design,fabricate,and measure a metasurface *** experimental results show good agreement with theoretical predictions and *** proposed approach has a wide range of applications in various areas,such as imaging,data storage,and wireless communication.

关键词： surface nonlinear rotating

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Personalized Federated Learning for Heterogeneous Residential Load Forecasting

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Big Data Mining and Analytics 2023年第4期6卷 421-432页

作者： Xiaodong Qu Chengcheng Guan Gang Xie Zhiyi Tian Keshav Sood Chaoli Sun Lei Cui the Shanxi Key Laboratory of Advanced Control and Equipment Intelligence Taiyuan University of Science and TechnologyTaiyuan 030024China the Faculty of Engineering and Information Technology University of Technology SydneyUltimo 2007Australia the Centre for Cyber Security Research and Innovation Deakin UniversityMelbourne 3125Australia the School of Computer Science and Technology Taiyuan University of Science and TechnologyTaiyuan 030024China

Accurate load forecasting is critical for electricity production,transmission,and *** learning(DL)model has replaced other classical models as the most popular prediction ***,the deep prediction model requires users to provide a large amount of private electricity consumption data,which has potential privacy *** nodes can federally train a global model through aggregation using federated learning(FL).As a novel distributed machine learning(ML)technique,it only exchanges model parameters without sharing raw ***,existing forecasting methods based on FL still face challenges from data heterogeneity and privacy ***,we propose a user-level load forecasting system based on personalized federated learning(PFL)to address these *** obtained personalized model outperforms the global model on local ***,we introduce a novel differential privacy(DP)algorithm in the proposed system to provide an additional privacy *** on the principle of generative adversarial network(GAN),the algorithm achieves the balance between privacy and prediction accuracy throughout the *** perform simulation experiments on the real-world dataset and the experimental results show that the proposed system can comply with the requirement for accuracy and privacy in real load forecasting scenarios.

关键词： load forecasting personalized federated learning differential privacy

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Detection of PFCP Protocol Based on Fuzz Method 2

Detection of PFCP Protocol Based on Fuzz Method

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2nd International Conference on Computer, control and Robotics, ICCCR 2022

作者： Cao, Yebei Chen, Yucheng Zhou, Wenan Science and Technology on Communication Information Security Control Laboratory Jiaxing China School of Computer Science Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781665466745

5G as a widely used mobile network, its security is of great significance. PFCP protocol is one of the important protocols that introduced into 5G core network, After the analysis of PFCP protocol and its security threat, this paper profoundly fuzzed the PFCP protocol. In order to improve the efficiency, this paper improves the random Fuzzing test technology, proposes a new data mutation algorithm and frame. By analyzing the test results, we found that the application of the new algorithm made the fuzzing technology greatly improved in terms of efficiency and found security vulnerabilities. © 2022 IEEE.

关键词： Efficiency

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A Latency-offset Online Trajectory Planner based on Successive Convex Approximation

A Latency-offset Online Trajectory Planner based on Successi...

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2022 IEEE International Conference on Unmanned Systems, ICUS 2022

作者： Li, Yiming Jiang, Bin Yang, Junan Wang, Jian Li, Beibei Huang, Keju Shao, Kun College of Electronic Engineering National University of Defense Technology Hefei China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (数字)9781665484565

ISBN: (纸本)9781665484565

An online trajectory planner permits autonomous unmanned vehicles to maneuver in a changing mission scenario and varying environment. However, in real-time online plannings, task performance, completeness and accuracy is seriously challenged by the latency during mission planning and scheme computation. To address the issue, we propose a latency-correcting online trajectory planner based on successive convex approximation (SCA), which is aiming at offset the latency in the planning. In this work, two types of latency are considered, i.e., a prior known variable and computation, where the latter one poses a problem. With this, we devise an online latency method to predict computing latency by conducting time complexity analysis. The experiment is to design an optimal UAV trajectory to serve the eavesdropping of an uncooperative emitter. The results showed this harmful latency effect, and then demonstrated the improved accuracy and task performance of the proposed planner. © 2022 IEEE.

关键词： Trajectories

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Decoy-state quantum-key-distribution-based quantum private query with error tolerance bound

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Physical Review A 2024年第5期109卷 052442-052442页

作者： Bin Liu Zhonghao Liang Wei Huang Fei Gao Jiayi Yuan Bingjie Xu College of Computer Science The State Key Laboratory of Networking and Switching Technology Center for Network and Information Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu 610041 China

Quantum private query (QPQ) faces many challenges in practical applications. At present, some scholars have made substantial work on overcoming channel loss, channel noise, and nonideal light sources, respectively. However, a protocol that would overcome all three of these problems has yet to materialize. We review a practical QPQ protocol that can actually work in noisy channels. This protocol has an upper bound on tolerable errors based on the required level of security and reliability. Then, we study the security of the above QPQ protocol under weak coherent pulses. The results indicate that the multiphoton pulses have induced significant vulnerabilities, which seriously threatens the privacy of users. Finally, we propose a decoy-state method to solve the serious threat to user security caused by multiphoton pulses. The analysis shows that the decoy-state method significantly improves the security of the QPQ protocol under weak coherent pulses. The improved protocol can not only tolerate transmission losses and channel noise, but also overcome the security vulnerability caused by a nonideal light source.

关键词： Quantum communication Quantum error correction Quantum information theory Quantum protocols Quantum state transfer

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