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DEM-bond model: A computational framework for designing mechanically enhanced polymer nanosphere-based ordered nanostructures

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Materials and Design 2025年 253卷

作者： Chen, Dan Chen, Zhiren Zhang, Tengfang Zhu, Zhihong Zhou, Qingwei Luo, Fang Wu, Fan Wang, Yunming Guo, Chucai College of Advanced Interdisciplinary Studies & Hunan Provincial Key Laboratory of Novel NanoOptoelec-tronic Information Materials and Devices National University of Defense Technology Hunan Changsha410073 China Nanhu Laser Laboratory National University of Defense Technology Hunan Changsha410073 China China Telecom Cloud Computing Co. Ltd. Hunan Branch Hunan Changsha410000 China Shenzhen TenFong Technology Co. Ltd Guangdong Shenzhen518055 China State Key Laboratory of Materials Processing and Die & Mould Technology School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan430074 China

Polymer nanosphere-based devices demonstrate exceptional optoelectronic properties due to the surface and size effect. However, the lack of predictive computational models for nanosphere interactions during fabricatio... 详细信息

关键词： Nanospheres

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A Selection Strategy for Network Security Defense Based on a Time Game Model

A Selection Strategy for Network Security Defense Based on a...

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2021 International Conference on Digital Society and Intelligent Systems, DSInS 2021

作者： Sun, Pengyu Zhang, Hengwei Ma, Junqiang Li, Chenwei Mi, Yan Wang, Jindong Key Laboratory of Information Security of Henan Provincial State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665406307

Current network assessment models often ignore the impact of attack-defense timing on network security, making it difficult to characterize the dynamic game of attack-defense effectively. To effectively manage the network security risks and reduce potential losses, in this article, we propose a selection strategy for network defense based on a time game model. By analyzing the attack-defense status by analogy with the SIR infectious disease model, construction of an optimal defense strategy model based on time game, and calculation of the Nash equilibrium of the the attacker and the defender under different strategies, we can determine an optimal defense strategy. With the Matlab simulation, this strategy is verified to be effective. © 2021 IEEE.

关键词： Network security

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New strategy for searching disturbance vector of SHA-1 collision attack

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Science China(Information Sciences) 2017年第12期60卷 280-282页

作者： Hao FENG Guang ZENG Wenbao HAN Yang YANG State Key Laboratory of Mathematical Engineering and Advanced Computing Centrum Wiskunde & Informatica Amsterdam 1098 XG Zhengzhou Information Science and Technology Institute Trusted Computing and Information Assurance Laboratory Institute of SoftwareChinese Academy of Sciences

Dear editor,We present a new algorithm to search for effective disturbance vectors with a complexity of 2;based on the following two properties of disturbance *** property is the weight correlation between the first 16-step disturbance vectors and the60-step disturbance *** other property requires all the differences of the active bit positions of the first 16-step disturbance vectors to be

关键词： New strategy for searching disturbance vector of SHA-1 collision attack

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Timing Strategy for Active Detection of APT Attack Based on FlipIt Model and Q-learning Method

Timing Strategy for Active Detection of APT Attack Based on ...

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2021 International Conference on Digital Society and Intelligent Systems, DSInS 2021

作者： Liu, Zhilin Zhang, Hengwei Sun, Pengyu Mi, Yan Zhang, Xiaoning Wang, Jindong Key Laboratory of Information Security of Henan Provincial State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665406307

At present, APT attack detection mainly focuses on the specific realization of detection technology, and there is little research on the timing strategy for active detection of APT attack. This paper focuses on the problem of APT dynamic detection with timing decision intelligence. We use the FlipIt game model and reinforcement learning method of Q-learning algorithm, consider the APT attack events as an exponentially distributed random process, and the defender using the attacker's last move time (LM-defender) to learn his optimal timing strategy using Q-Learning algorithm. The defender's reinforcement learning mechanism for the timing of the APT attack action and outputs its timing selection strategy. Simulation experiments show that compared with the existing greedy algorithm, the timing strategy based on the Q-Learning algorithm does not require the attacker's prior information under the premise, it can achieve a higher average benefit than the greedy strategy. This result provides a theoretical reference for the design of timing strategy to defend APT attack intelligently and efficient. © 2021 IEEE.

关键词： Reinforcement learning

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VFDETECT: A Vulnerable Code Clone Detection System Based on Vulnerability Fingerprint 3

VFDETECT: A Vulnerable Code Clone Detection System Based on ...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Zhen Liu Qiang Wei Yan Cao State Key Laboratory of Mathematical Engineering and Advanced Computing China National Digital Switching System Engineering and Technological Research Center

Vulnerable code reuse in open source software is a serious threat to software ***,the existing highefficiency methods for vulnerable code clone detection have a large number of false-nega

ISBN: (纸本)9781509053643;9781509053636

Vulnerable code reuse in open source software is a serious threat to software ***,the existing highefficiency methods for vulnerable code clone detection have a large number of false-nega

关键词： Cloning Fingerprint recognition Feature extraction Linux Kernel Data structures

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Network Attack Intention Recognition Based on Signaling Game Model and Netlogo Simulation

Network Attack Intention Recognition Based on Signaling Game...

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2021 International Conference on Digital Society and Intelligent Systems, DSInS 2021

作者： Zhang, Xiaoning Zhang, Hengwei Li, Chenwei Sun, Pengyu Liu, Zhilin Wang, Jindong State Key Laboratory of Mathematical Engineering and Advanced Computing Key Laboratory of Information Security of Henan Provincial Zhengzhou China

ISBN: (纸本)9781665406307

With the development of attack technology, identifying the real intention of network attack and avoiding further deterioration of security situation has become a hot research topic in recent years. This paper proposes an attack intention recognition method based on signaling game model. Firstly, we generate attack intention hypotheses, and then calculate the probability of each attack intention by solving game equilibrium. Experiments show that the method can effectively improve the accuracy of attack intention recognition from the perspective of the revenue. © 2021 IEEE.

关键词： Deterioration

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Utilization-Aware Data Variable Allocation on NVM- Based SPM in Real-Time Embedded Systems

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Journal of Electronic Science and Technology 2021年第2期19卷 163-172页

作者： Jin-Yu Zhan Yi-Xin Li Wei Jiang Jun-Huan Yang School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu 610054 State Key Lab of Mathematical Engineering and Advanced Computing Wuxi 214000

With the development of the nonvolatile memory(NVM),using NVM in the design of the cache and scratchpad memory(SPM)has been *** paper presents a data variable allocation(DVA)algorithm based on the genetic algorithm for NVM-based SPM to prolong the *** lifetime can be formulated indirectly as the write counts on each SPM *** the differences between global variables and stack variables,our optimization model has three *** constraints of the central processing unit(CPU)utilization and size are used for all variables,while no-overlay constraint is only used for stack *** satisfy the constraints of the optimization model,we use the greedy strategy to generate the initial population which can determine whether data variables are allocated to SPM and distribute them evenly on SPM ***,we use the Mälardalen worst case executive time(WCET)benchmark to evaluate our *** experimental results show that the DVA algorithm can not only obtain close-to-optimal solutions,but also prolong the lifetime by 9.17% on average compared with SRAM-based SPM.

关键词： Data variables allocation genetic algorithm nonvolatile momory(NVM) scratchpad memory(SPM)

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Bi-population genetic algorithm-based attack path discovery research in large-scale networks 4

Bi-population genetic algorithm-based attack path discovery ...

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4th World Conference on computing and Communication Technologies, WCCCT 2021

作者： Tairan, Hu Wenlong, Gao Tianyang, Zhou Yichao, Zang National Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9780738144986

with the growth of network scale, present researches on the attack path discovery often encounter the problem of search space explosion that results in fails. To tackle the problem of attack path discovery for large-scale networks, this paper proposes a bi-population genetic algorithm for the attack path discovery in large-scale networks. Firstly, this paper represents the connective relationship between hosts as vectors and uses the Balanced Iterative Reducing and Clustering Using Hierarchies (Birch) algorithm to realize network decomposition. Then, the attack path discovery problem is encoded based on the decomposition result, and the bi-population mechanism is introduced to find the attack path. The experiment result shows that our algorithm performs better than Metric-FF and SGA in optimization and efficiency. © 2021 IEEE.

关键词： Genetic algorithms

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Population-Based Meta-Heuristic Optimization Algorithm Booster: An Evolutionary and Learning Competition Scheme

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Neurocomputing 2025年 643卷

作者： Jun Wang Junyu Dong Huiyu Zhou Xinghui Dong State Key Laboratory of Physical Oceanography and Faculty of Information Science and Engineering Ocean University of China China School of Computing and Mathematical Sciences University of Leicester UK

In a Population-Based Meta-Heuristic Optimization Algorithm (PMOA), individuals in the population will constantly generate new promising individuals, to form new populations. Although the population continuously changes, the variations in each individual are traceable in most algorithms. An individual in the population comes from the individual in the previous population. The direction of the evolution of populations can be identified on top of this historical inheritance relationship, which improves the efficiency of PMOAs and solves optimization problems more effectively. Since Recurrent Neural Networks (RNNs) are able to capture the temporal dependencies in sequences, we are motivated to propose a novel but simple Evolutionary and Learning Competition Scheme (ELCS), also referred to as the PMOA Booster, in which individuals keep changing for the better fitness based on the heuristic rules of the PMOA while an RNN is used to learn the process that each individual changes in order to guide the generation of promising individuals. The ELCS automatically selects the RNN or PMOA which generates more individuals with the better fitness. We test the proposed scheme using the benchmark of IEEE Congress on Evolutionary Computation 2022 competition (CEC 2022). The results show that this scheme is able to boost the performance of both the classical and state-of-the-art PMOAs and outperforms its counterparts. Also, the ELCS produces promising results in two real-world industrial scenarios. We believe that the effectiveness of the proposed ELCS is due to the adaptive competition between the RNN and the PMOA.

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AFDM-Enabled Integrated Sensing and Communication: Theoretical Framework and Pilot Design

arXiv

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arXiv 2025年

作者： Zhang, Fan Wang, Zhaocheng Mao, Tianqi Jiao, Tianyu Zhuo, Yinxiao Wen, Miaowen Xiang, Wei Chen, Sheng Karagiannidis, George K. Department of Electronic Engineering Tsinghua University Beijing100084 China State Key Laboratory of CNS/ATM Beijing Institute of Technology Beijing100081 China Zhuhai519088 China School of Electronic and Information Engineering South China University of Technology Guangzhou China School of Computing Engineering and Mathematical Sciences La Trobe University MelbourneVIC3086 Australia School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Greece

The integrated sensing and communication (ISAC) has been envisioned as one representative usage scenario of sixth-generation (6G) network. However, the unprecedented characteristics of 6G, especially the doubly dispersive channel, make classical ISAC waveforms rather challenging to guarantee a desirable performance level. The recently proposed affine frequency division multiplexing (AFDM) can attain full diversity even under doubly dispersive effects, thus becoming a competitive candidate for next-generation ISAC waveforms. Relevant investigations are still at an early stage, which involve only straightforward design lacking explicit theoretical analysis. This paper provides an in-depth investigation on AFDM waveform design for ISAC applications. Specifically, the closed-form Crámer-Rao bounds of target detection for AFDM are derived, followed by a demonstration on its merits over existing counterparts. Furthermore, we formulate the ambiguity function of the pilot-assisted AFDM waveform for the first time, revealing conditions for stable sensing performance. To further enhance both the communication and sensing performance of the AFDM waveform, we propose a novel pilot design by exploiting the characteristics of AFDM signals. The proposed design is analytically validated to be capable of optimizing the ambiguity function property and channel estimation accuracy simultaneously as well as overcoming the sensing and channel estimation range limitation originated from the pilot spacing. Numerical results have verified the superiority of the proposed pilot design in terms of dual-functional performance. Copyright © 2025, The Authors. All rights reserved.

关键词： Cramer-Rao bounds

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