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2025 2nd International Conference on algorithms, software Engineering and Network Security (ASENS)

作者： Man Luo Zhe Jiang School of Software Engineering East China Normal University China

ISBN: (数字)9798331520298

ISBN: (纸本)9798331520304

Private Set Intersection (PSI) enables two parties to compute the intersection of their datasets while preserving privacy. However, in dictator-controlled environments where encryption mechanisms are subject to coercive regulation, traditional PSI protocols become vulnerable to key disclosure requirements and enforced computation controls, which can undermine their security guarantees. We introduce Anamorphic Private Set Intersection (Ana-PSI), a novel PSI protocol that incorporates Anamorphic Encryption (AE) to achieve covert intersection computation under coercive conditions. By leveraging homomorphic anamorphic encryption and a modified Bloom filter representation, Ana-PSI enables the computation of a hidden intersection while presenting a dictator with an innocuous result. We formally define the security model of Ana-PSI, analyze its resistance against coercive adversaries, and demonstrate its correctness under both normal and anamorphic decryption modes. Our work extends the feasibility of PSI to high-surveillance environments, ensuring privacy-preserving computation despite external scrutiny.

关键词： Resistance Privacy Protocols software algorithms Network security Rendering (computer graphics) Regulation Multi-party computation Homomorphic encryption software engineering

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DNS Fuzz Testing Technique Based on Multi-Indicator Fusion

DNS Fuzz Testing Technique Based on Multi-Indicator Fusion

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Computer Applications and Information Technology (ISCAIT), International Symposium on

作者： Zhao Ma State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798331542856

ISBN: (纸本)9798331542863

With the continuous expansion of the Internet scale, the domain name system, as the key infrastructure of the Internet, is of great significance in terms of its operational stability and security. Existing fuzz testing techniques have a single evaluation index for test cases, and there is a bottleneck in the efficiency of test case generation, which is difficult to meet the needs of the increasingly complex DNS security testing. In view of this, we designed a fuzz testing method based on the fusion of multiple indicators for domain name system software testing. On the basis of AFLGO, we first introduce update region, vulnerability update region, new region, three new test case evaluation criteria, and then combined with the multi-indicator fusion algorithm to construct an energy allocation model, which accurately allocates the energy to different test cases, so that the test cases are more targeted to cover the key basic blocks of the domain name system. Experiments show that our designed method outperforms traditional methods in generating use cases efficiently and provides a more efficient fuzz testing technique for software testing of domain name system.

关键词： Measurement software algorithms Stability criteria Fuzzing System software Internet Security Resource management Information technology Thermal stability

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Enhancing Overcurrent Relay Performance in Power Systems with Distributed Generation: An AI-Based Approach

Enhancing Overcurrent Relay Performance in Power Systems wit...

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Iranian Conference on Renewable Energy and Distributed Generation (ICREDG)

作者： Hamid Reza Sezavar Hamid Karimi Saeed Hasanzadeh Mustafa Habeeb Chyad Mohammed Jamal Mohammed Department of Electrical and Computer Engineering Qom University of Technology Qom Iran University of Warith Al-Anbiyaa Karbala Iraq University of A I-A meed Karbala Iraq

ISBN: (数字)9798331525132

ISBN: (纸本)9798331525149

The effectiveness of overcurrent relays is essential for managing faults in power systems. As the integration of distributed generation sources increases within the power grid, the likelihood of errors in fault detection also rises. In certain situations, distributed generation can diminish fault currents, leading to delays in relay operation. This delay can damage existing equipment as faults persist in the network. Additionally, distributed generation may cause relays to malfunction, disconnecting healthy feeders instead of the ones experiencing faults. To address these challenges, this paper presents the development and modeling of an artificial intelligence algorithm designed to facilitate the integration of distributed generation into the power system without modifying the existing overcurrent relays. The algorithm also identifies optimal locations for distributed generation sources within the network. The modeling was conducted using MATLAB, and the implementation and validation of the model were performed with DigiSilent software.

关键词： Renewable energy sources software algorithms software Distributed power generation Delays Feeds Relays Artificial intelligence Protection Optimization

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A Combined Algorithm for Measuring the Frequency and Bandwidth of a Signal with Increased Accuracy

A Combined Algorithm for Measuring the Frequency and Bandwid...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Konstantin V. Vorontsov Michael N. Baldaev Sergey A. Chechenya Sergey V. Soldatkin Anton Y. Boev Anastasia O. Khodakova Department of Formation and Processing of Radio Frequency Signals National Research University “MPEI” Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

This article describes the development of an algorithm for increasing the accuracy of measuring the frequency and bandwidth of a signal in conditions of limited digital technology resources and time constraints. The purpose of the study was to apply the short-length FFT and CORDIC algorithms together. To do this, an algorithm was developed and tested on Xilinx FPGAs. As a result, an algorithm was obtained that can be used in systems where it is not possible to implement a long-length FFT, but high accuracy is required.

关键词： Time-frequency analysis Accuracy Power measurement Current measurement software algorithms Signal processing algorithms Time measurement Frequency measurement Velocity measurement Field programmable gate arrays

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Symbolic State Seeding Improves Coverage of Reinforcement Learning

Symbolic State Seeding Improves Coverage of Reinforcement Le...

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SEAMS International Workshop on software Engineering for Adaptive and Self-Managing Systems, ICSE

作者： Mohsen Ghaffari Cong Chen Mahsa Varshosaz Einar Broch Johnsen Andrzej Wąsowski IT-University of Copenhagen Copenhagen Denmark University of Oslo Oslo Norway

ISBN: (数字)9798331501815

ISBN: (纸本)9798331501822

Due to a limited learning budget, a reinforcement learning agent can only explore the most probable scenarios out of a potentially rich and complex environment dynamics. This may result in a limited understanding of the context and low robustness of the learned policy. A possible approach to address this problem is to explore the interactions between an autonomous agent and environment in rare but important situations. We proposes SymSeed, a method for initializing learning episodes for the class of reinforcement learning problems for which a simulation environment (model) is available. This increases the chance of exposing the agent to interesting states during learning. Inspired by techniques for increasing coverage in testing of software, we analyze the simulator implementation using symbolic execution. Then we generate initial states that ensure the agent explores the simulator dynamics well during learning. We evaluate SymSeed by feeding the generated states into well-known reinforcement learning algorithms, both tabular and approximating methods, including vanilla Q-Learning, DQN, PPO, A3C, SAC, TD3, and CAT-RL. In all test cases, the combination of SymSeed with uniform sampling from the entire state space enables all algorithms to achieve faster convergence and higher success rates than the baseline. The effect is particularly strong in presence of sparse rewards or local optima.

关键词： Heuristic algorithms Noise software algorithms Reinforcement learning Reliability engineering Approximation algorithms software software reliability Testing software engineering

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Analysis of Development Paths for Intelligent Sports Education Based on Artificial Intelligence

Analysis of Development Paths for Intelligent Sports Educati...

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software Engineering and Computer Science (CSECS), International Conference on

作者： Zongjun Xu Shandong Police College Jinan Shandong China

ISBN: (数字)9798331522216

ISBN: (纸本)9798331522223

This study analyzes the development paths for intelligent sports education based on artificial intelligence. The article explores four main development paths: the construction of intelligent sports teaching platforms, the development of motion recognition and assessment systems, the creation of virtual reality training environments, and the generation of personalized training programs. The study elaborates on the key technological implementations of these paths, including data collection and preprocessing, application of artificial intelligence algorithms, and edge computing and real-time processing. Through experimental design and validation, the feasibility and effectiveness of these paths are analyzed. The results show that these intelligent development paths can significantly enhance students' skill levels and learning engagement but also face challenges such as high initial investment and substantial teacher training requirements. This research provides a theoretical basis and practical guidance for the intelligent transformation of sports education, which is of great significance for advancing the modernization of sports education.

关键词： Training Face recognition software algorithms Virtual reality User experience Real-time systems Artificial intelligence Sports Investment software engineering

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Continuous Evaluation: Using CI Techniques for Experimentation at Scale

Continuous Evaluation: Using CI Techniques for Experimentati...

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IEEE International Conference on software Testing Verification and Validation Workshop, ICSTW

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Research on Detection and Tracking Algorithm for Small and Weak Targets on the Sea Surface Based on Neural Networks

Research on Detection and Tracking Algorithm for Small and W...

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software Engineering and Computer Science (CSECS), International Conference on

作者： Wang Zhan Liu Tian-yi Wu Shuai Dalian Naval Academy Dalian China

ISBN: (数字)9798331522216

ISBN: (纸本)9798331522223

To address practical issues such as complex backgrounds, indistinct target features, and poor real-time performance in detecting and tracking small and weak targets at sea, this paper first designs a guided filter algorithm fused with a foggy day imaging model for image preprocessing. This aims to simplify the background complexity. Subsequently, the incremental YOLOv8 detection head algorithm is employed for detecting and tracking these targets, while integrating the ACmix hybrid model to enhance overall operational efficiency. Finally, simulation experiments are conducted to validate the effectiveness and feasibility of the proposed algorithm.

关键词： Sea surface Target tracking Head Computational modeling software algorithms Neural networks Imaging Real-time systems Image preprocessing software engineering

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A Routing Protocol Based on Ant Colony Algorithm for Wireless Sensor Networks

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Chinese Journal of Electronics 2023年第4期19卷 589-593页

作者： Lijuan Sun Yang Guannan Jian Guo Wenjun Xu Ruchuan Wang College of Computer Nanjing University of Posts and Telecommunications Nanjing China

Energy of nodes is limited in wireless sensor networks, so it is necessary for routing protocol to make use of energy effectively. Aiming at the disadvantages of directed diffusion in energy utilization, a routing protocol based on ant colony algorithm for wireless sensor networks (Directed diffusion based ant colony algorithm, DDBA) is presented. This protocol, based on the principle of ant colony algorithm, considers both the residual energy of nodes and the transmission energy consumption between nodes when routing. Theoretical analysis and simulation results show that DDBA reduces the power consumption, enhances the energy utilization and balances the energy consumption of the whole network, which leads to extension of the lifetime of both nodes and networks.

关键词： Wireless communication Wireless sensor networks Energy consumption Technological innovation Simulation software algorithms Routing

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Enabling Vehicular mmWave Communication Links Using cmWave Information

Enabling Vehicular mmWave Communication Links Using cmWave I...

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European Conference on Antennas and Propagation, EuCAP

作者： Markus Hofer Faruk Pasic Benjamin Rainer Jiri Blumenstein Ales Prokes Christoph F. Mecklenbräuker Andreas F. Molisch Thomas Zemen AIT Austrian Institute of Technology GmbH Austria Institute of Telecommunications TU Wien Vienna Austria Dept. of Radio Electronics Brno University of Technology Czech Republic University of Southern California Los Angeles CA USA

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

Future connected cooperative automated mobility can benefit from high-data-rate wireless communication links between vehicles to exchange LIDAR and/or RADAR data. The millimeter wave (mmWave) frequency range offers large bandwidth for rapid sensor data exchange but suffers from higher signal attenuation compared to the centimeter wave (cmWave) band. In this paper we obtain cmWave and mmWave multipath component (MPC) parameters by combining a single omnidirectional antenna that is used as virtual array with the CLEAN algorithm. The cmWave MPC information enables low-overhead mmWave beamforming by means of an antenna array. Empirical multi-band measurement data ( $3.2 \text{GHz}, 34.3 \text{GHz}$ , and 62.35 GHz) shows that considering the 5 strongest MPCs, a signal-to-noise ratio of up to 25 dB for a V2I scenario can be achieved.

关键词： Antenna measurements Wireless communication software algorithms Omnidirectional antennas Radar antennas Arrays Millimeter wave communication Antenna arrays Signal to noise ratio software radio

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