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arXiv 2025年

作者： Tian, Shuang Zhang, Tao Liu, Jiqiang Wang, Jiacheng Wu, Xuangou Zhu, Xiaoqiang Zhang, Ruichen Zhang, Weiting Yuan, Zhenhui Mao, Shiwen Kim, Dong In School of Software Engineering Beijing Jiaotong University Beijing100044 China School of Cyberspace Science and Technology Beijing Jiaotong University Beijing100044 China School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore School of Computer Science and Technology An hui Province Key Laboratory of Digital Twin Technology in Metallurgical Industry Anhui University of Technology Anhui243002 China College of Computing and Data Science Nanyang Technological University Singapore School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China School of Engineering University of Warwick CoventryCV4 7AL United Kingdom Department of Electrical and Computer Engineering Auburn University AuburnAL36849-5201 United States Department of Electrical and Computer Engineering College of Information and Communication Engineering Sungkyunkwan University Suwon16419 Korea Republic of

—With the rapid development of technology and the acceleration of digitalisation, the frequency and complexity of cyber security threats are increasing. Traditional cybersecurity approaches, often based on static rules and predefined scenarios, are struggling to adapt to the rapidly evolving nature of modern cyberattacks. There is an urgent need for more adaptive and intelligent defence strategies. The emergence of Large Language Model (LLM) provides an innovative solution to cope with the increasingly severe cyber threats, and its potential in analysing complex attack patterns, predicting threats and assisting real-time response has attracted a lot of attention in the field of cybersecurity, and exploring how to effectively use LLM to defend against cyberattacks has become a hot topic in the current research field. This survey examines the applications of LLM from the perspective of the cyber attack lifecycle, focusing on the three phases of defense reconnaissance, foothold establishment, and lateral movement, and it analyzes the potential of LLMs in Cyber Threat Intelligence (CTI) tasks. Meanwhile, we investigate how LLM-based security solutions are deployed and applied in different network scenarios. It also summarizes the internal and external risk issues faced by LLM during its application. Finally, this survey also points out the facing risk issues and possible future research directions in this domain. Copyright © 2025, The Authors. All rights reserved.

关键词： Cyber attacks

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Automatic Summarization Generation Technology of Network Document Based on Knowledge Graph 1

引用

2nd EAI International Conference on Advanced Hybrid Information processing, ADHIP 2018

作者： Wu, Yuezhong Chen, Rongrong Li, Changyun Chen, Shuhong Zou, Wenjun College of Artificial Intelligence Hunan University of Technology Zhuzhou412007 China Intelligent Information Perception and Processing Technology Hunan Province Key Laboratory Zhuzhou412007 China College of Business Hunan University of Technology Zhuzhou412007 China School of Computer Science and Educational Software Guangzhou University Guangzhou510006 China School of Computer and Communication Hunan Institute of Engineering Xiangtan411104 China

ISBN: (数字)9783030190866

ISBN: (纸本)9783030190859

The Internet has become one of the important channels for users to access to information and knowledge. It is crucial that how to acquire key content accurately and effectively in the events from huge amount of network information. This paper proposes an algorithm for automatic generation of network document summaries based on knowledge graph and TextRank algorithm which can solve the problem of information overload and resource trek effectively. We run the system in the field of big data application in packaging engineering. The experimental results show that the proposed method KG-TextRank extracts network document summaries more accurately, and automatically generates more readable and coherent natural language text. Therefore, it can help people access information and knowledge more effectively. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Knowledge graph

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Practical privacy-preserving mixing protocol for Bitcoin

Practical privacy-preserving mixing protocol for Bitcoin

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International Conference on Computer Supported Cooperative Work in Design

作者： Qianqian Chang Lin Xu Lei Zhang Shanghai Key Laboratory of Trustworthy Computing East China Normal University China Science and Technology on Communication Security Laboratory Chengdu China Ministry of Education Engineering Research Center of Software/Hardware Co-Design Technology and Application China

The privacy of Cryptocurrencies are of great concern in various fields. Researches has shown that pseudonyms, which are used in Bitcoin, only provide weak privacy. The privacy of users may be put at risk under deanonymization attacks. The exisiting schemes typically require a trusted-third party to achieve anonymity, however this usually faces a single-point fault. In addition, existing schemes suffer from high communication complexity and impracticality. This paper proposes a practical privacy-preserving mixing protocol for Bitcoin to achieve unlink-ability of input and output address of transactions. Compared to existing schemes, our protocol improves practicality. The communication complexity of our protocol is linearly related to the number of peers. Moreover, our protocol is scalable as it works not only for Bitcoin, but also for other cryptocurrencies.

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Super-Broadband Rectifier With Wide-band Resistance Compression Network and Harmonic Cycling for RF-Harvesting

TechRxiv

引用

TechRxiv 2022年

作者： Liu, Xin Zhang, Dawei Li, Yingsong Huang, Zhixiang College of Information and Communication Engineering Harbin Engineering University Harbin150001 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei230601 China Anhui Province Key Laboratory of Target Recognition and Feature Extraction Lu'An230088 China

In this paper, a super-broadband (SBB) rectifier using a wideband resistance compression network (WRCN) and harmonic cycling is proposed, simulated, fabricated, measured and analyzed in detail for the harvesting of ambient Radio frequency (RF) energy. Meanwhile, impedance compression and matching are achieved to implement the SBB using WRCN and impedance operation networks. Additionally, harmonic cycling structure and bending technology are employed to improve the power conversion efficiency (PCE) and reduce the size, respectively. For demonstration, a prototype of the proposed rectifier is fabricated and measured. The measured results are in good accordance with the simulated ones, indicating that the rectifier can provide high efficiency and ultra-broadband rectification characteristics. A PCE over 50% is realized at 3.5 GHz with an input power range of 6–24 dBm, and a PCE of 75% is obtained at an input power of 18 dBm. The PCE is greater than 50% at 17 dBm with an input frequency of 2.7–4.6 GHz. This work can find significant applications in the development of RF-harvesting. © 2022, CC BY.

关键词： Harvesting

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The self-adaption strategy for parameter ε in ε-MOEA

The self-adaption strategy for parameter ε in ε-MOEA

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Congress on Evolutionary Computation

作者： Min Zhang Wenjian Luo Xingxin Pei Xufa Wang Nature Inspired Computing and Application Laboratory Department of Computer Science and Technology University of Science and Technology China Anhui Key Laboratory of software in Computing Communication University of Science and Technology China University of Science and Technology of China Hefei Anhui CN Nature Inspired Computing and Application Laboratory Department of Computer Science and Technology of China University of Science and Technology China

A novel self-adaption strategy for the parameter epsiv in epsiv-MOEA is proposed in this paper based on the analyses of the relationship between the value of epsiv and the maximum number of non-dominated solutions. Then this novel strategy is applied in epsiv-MOEA and tested on 10 common benchmark functions. The experimental results demonstrate that even if without the good initial value for the parameter s, epsiv-MOEA with this self-adaption strategy (named Algorithm 1) is able to approximately obtain the expected number of non-dominated solutions, which are very close to and uniformly distributed on the Pareto-optimal front. Furthermore, the genetic drift phenomenon in Algorithm 1 is discussed Two cases of genetic drift are pointed out, and one case can be fixed up by a simple approach proposed in this paper.

关键词： Evolutionary computation

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A Privacy Policy of P3P Based on Relational Database

A Privacy Policy of P3P Based on Relational Database

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International Multi-Symposiums on Computer and Computational Sciences (IMSCCS)

作者： Bin Jiang Da-fung Zhang Chao Yang Guangxue Yue Fei Yu Software School Hunan University Changsha Hunan China College of Computer and Communication Hunan University Changsha Hunan China Provincial Key Laboratory of Computer Information Processing Technology Jiangsu Jiangsu Province China

P3P is an industry standard method that enables users to gain powerful control over their processing of personal information on Web sites being visited. Traditional methods of database access control places great dependence on the use application of statically defined views. In this paper, we propose the procedure by which current RDBMS can be transformed into their privacy-preserving equivalents. In addition, architectural for implementing P3P based on RDBMS is dissected and a server-centric implementation that reuses database querying technology is suggested

关键词： Data privacy Relational databases Industrial control Automatic control Guidelines Legislation Chaotic communication Educational institutions Laboratories Information processing

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Verification of Population Ring Protocols in PAT

Verification of Population Ring Protocols in PAT

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Third International Symposium on Theoretical Aspects of software Engineering TASE 2009(第三届软件工程理论国际研讨会)

作者： Jun Sun Yang Liu Jun Pang Jianhua Zhao National University of Singapore School of Computing Université du Luxembourg Faculté des Sciences de la Technologie et de la Communication Nanjing University State Key Laboratory of Novel Software Technology

The population protocol model has emerged as an ele gant paradigm for describing mobile ad hoc networks, con sisting of a number of nodes that interact with each other to carry out a computation. One essential property of self stabilizing population protocols is that all nodes must even tually converge to the correct output value, with respect to all possible initial configurations. It has been shown that fairness constraints play a crucial role in designing popula tion protocols. The Process Analysis Toolkit (PAT) has been developed to perform verifications under different fairness constraints efficiently. In particular, it can handle global fairness, which is required for the correctness of most of population protocols. It is an ideal candidate for automati cally verifying population protocols. In this paper, we sum marize our latest empirical evaluation of PAT on a set of self-stabilizing population protocols for ring networks. We report one previously unknown bug in a protocol for leader election identified using PAT.

关键词： Protocols Computer networks Nominations and elections Biology computing Automata Mobile ad hoc networks Processor scheduling Formal verification State-space methods Logic

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A CPK-Based Identity Authentication Scheme for IoT

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Computer Systems Science & Engineering 2022年第3期40卷 1217-1231页

作者： Mingming Zhang Jiaming Mao Yuanyuan Ma Liangjie Xu Chuanjun Wang Ran Zhao Zhihao Li Lu Chen Wenbing Zhao State Grid Jiangsu Electric Power Co. Ltd.Information&Telecommunication BranchNanjing210008China State Grid Key Laboratory of Information&Network Security Institute of Information and CommunicationGlobal Energy Interconnection Research InstituteNanjing210003China Anhui Jiyuan Software Co.Ltd SGITGHefei230088China Engineering Research Center of Post Big Data Technology and Application of Jiangsu Province Research and Development Center of Post Industry Technology of the State Posts Bureau(Internet of Things Technology)Engineering Research Center of Broadband Wireless Communication Technology of the Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing210003China Department of Electrical Engineering and Computer Science Cleveland State UniversityCleveland44115USA

As the power Internet of Things(IoT)enters the security construction stage,the massive use of perception layer devices urgently requires an identity authentication scheme that considers both security and *** existing public key infrastructure(PKI)-based security authentication scheme is currently difficult to apply in many terminals in *** key distribution and management costs are high,which hinders the development of power IoT security *** Public key(CPK)technology uses a small number of seeds to generate unlimited public *** is very suitable for identity authentication in the power Internet of *** this paper,we propose a novel identity authentication scheme for power *** scheme combines the physical unclonable function(PUF)with improved CPK technology to achieve mutual identity authentication between power IoT terminals and *** proposed scheme does not require third-party authentication and improves the security of identity authentication for power ***,the scheme reduces the resource consumption of power IoT *** improved CPK algorithm solves the key collision problem,and the third party only needs to save the private key and the public key *** results show that the amount of storage resources occupied in our scheme is *** proposed scheme is more suitable for the power IoT.

关键词： Power Internet of Things terminal equipment identity authentication CPK PUF

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Energy-AOI-Aware UAV-Assisted Data Collection: A Multi-Agent Deep Reinforcement Learning-Based Trajectory Optimization

Energy-AOI-Aware UAV-Assisted Data Collection: A Multi-Agent...

引用

International Conference on communication Technology (ICCT)

作者： Liangtian Wan Kun Zhang Lu Sun Gang Xu Xianpeng Wang Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software Dalian University of Technology Dalian China Department of Communication Engineering Institute of Information Science Technology Dalian Maritime University Dalian China State Key Laboratory of Millimeter Waves School of Information Science and Engineering Southeast University Nanjing China State Key Laboratory of Marine Resource Utilization in South China Sea School of Information and Communication Engineering Hainan University Haikou China

With the development of Internet of Things (IoT) technology, sensor networks are widely used for data collection in various IoT scenarios. Traditional sensors use multi-hop communication to transmit data back to the data center, which can lead to excessive energy consumption in some nodes and cause the collapse of sensor networks. Solving the data transmission problem in sensor networks has become a critical issue. In recent years, unmanned aerial vehicles (UAVs) capable of hovering have been increasingly applied in military and civilian fields, such as smart logistics, edge computing, and wireless power transfer (WPT). UAVs, with their strong controllability and high mobility, can effectively perform the task of data transmission in sensor networks. In the task of UAV -assisted sensor data collection, UAVs can establish communication connections with ground sensors through small communication devices and act as mobile aggregation nodes to collect data from the ground wireless sensor network. To achieve energy balance among sensor network nodes as much as possible while ensuring service quality based on information age, we propose a combinatorial optimization problem. Ultimately, we solve the combinatorial optimization problem by optimizing the trajectory of UAV flight. As the problem is a mixed-integer non-convex optimization which is difficult to solve, we propose a UAV swarm-based sensor trajectory planning algorithm using multi-agent reinforcement learning. Simulation results show that the proposed algorithm has a better effect than baseline approaches on optimization objective.

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Design methods for polymorphic combinational logic circuits based on the Bi-Decomposition approach

arXiv

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arXiv 2017年

作者： Li, Zhifang Luo, Wenjian Yue, Lihua Wang, Xufa School of Computer Science and Technology University of Science and Technology of China Hefei Anhui230027 China Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology of China Hefei Anhui230027 China

Polymorphic circuits are a special kind of digital logic components, which possess multiple build-in functions. In different environments, a polymorphic circuit would perform different functions. Evolutionary Algorithms, Binary Decision Diagrams (BDD) and the multiplex method have been adopted to design polymorphic circuits. However, the evolutionary methods face the scalable problem. The BDD method consumes too much gate resource. The polymorphic circuit built by the multiplex method rarely contains polymorphic gates. In this paper, based on the traditional Bi-Decomposition circuit design approach, two methods, *** Poly-Bi-Decomposition method and the TransformationBi-Decomposition method, are proposed for designing polymorphic circuits. The Poly_Bi-Decomposition method can design relatively large and gate-efficient polymorphic circuits with a higher percentage of polymorphic gates. The TransformationBi-Decomposition method can use the traditional circuit design approaches and tools, e.g. Bi-Decomposition, to design polymorphic circuits directly. The experimental results show the good performance of the proposed methods. Copyright © 2017, The Authors. All rights reserved.

关键词： Timing circuits

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