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Digital Society and Intelligent Systems (DSInS), International Conference on

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

ISBN: (纸本)9781665406314

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.

关键词： Greedy algorithms Adaptation models state feedback Q-learning Adaptive systems Heuristic algorithms Games

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A Robust Watermarking Scheme based on Delaunay Image Reconstruction Robust to Affine Transformation 6

A Robust Watermarking Scheme based on Delaunay Image Reconst...

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2021 6th International Symposium on Advances in Electrical, Electronics and Computer engineering, ISAEECE 2021

作者： Feng, Liu Gong, Daofu Wang, Wenbing State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute Zhengzhou City Henan Province450000 China College of Software Engineering Zhengzhou University of Light Industry Zhengzhou City Henan Province450000 China

This paper proposes a sub-channel image reconstruction algorithm based on Delaunay triangle. First, according to the different sensitivity of the human eye to the three color channels, different channels are used to avoid the influence of watermark embedding on pixels around the feature points. Then, feature points should be selected on the selected channel to make them have sufficient robustness. At this time, the location of the feature points extracted on the corresponding channel can be used as the watermark embedding position. Finally, considering the influence of geometric attacks such as affine transformation, this paper proposes a reconstruction algorithm based on Delaunay triangle, which uses feature point information to reconstruct the image before the watermark extraction, and extract the watermark on the reconstructed image. The effect of watermark extraction has been improved. © Published under licence by IOP Publishing Ltd.

关键词： Image reconstruction

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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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Digital Society and Intelligent Systems (DSInS), International Conference on

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

ISBN: (纸本)9781665406314

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.

关键词： Games Probability Cognition Complexity theory Security Intelligent systems Game theory

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Multi-objective Firefly Algorithm for Test Data Generation with Surrogate Model

Multi-objective Firefly Algorithm for Test Data Generation w...

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2021国际计算机前沿大会

作者： Wenning Zhang Qinglei Zhou Chongyang Jiao Ting Xu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhongyuan University of Technology Zhengzhou University

To solve the emerging complex optimization problems,multi objective optimization algorithms are *** introducing the surrogate model for approximate fitness calculation,the multi objective firefly algorithm with surrogate model(MOFA-SM) is proposed in this ***,the population was initialized according to the chaotic ***,the external archive was constructed based on the preference sorting,with the lightweight clustering pruning *** the process of evolution,the elite solutions selected from archive were used to guide the movement to search optimal *** results show that the proposed algorithm can achieve better performance in terms of convergence iteration and stability.

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A Firmware Vulnerability Detection Method Based on Feature Filtering

A Firmware Vulnerability Detection Method Based on Feature F...

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IEEE International Conference on Big Data and Cloud computing (BdCloud)

作者： Bing Xia Chongjun Tang Wenbo Liu Shihao Chu Yu Dong dept Key Laboratory of Mathematical Engineering and Advanced Computing ZhongYuan University of Technology Zhengzhou China dept Henan Key Laboratory on Public Opinion Intelligent Analysis ZhongYuan University of Technology Zhengzhou China dept ZhongYuan University of Technology Zhengzhou China

Open source code reuse and code cross-platform deployment accelerate the spread of software vulnerabilities, and pose challenges for accurate detection of cross-platform vulnerabilities. The binary vulnerability similarity detection method based on machine learning lacks a fine-grained vulnerability similarity feature filtering mechanism, and cannot solve cross-function vulnerabilities triggered by data dependencies, resulting in a high vulnerability false positive rate in existing solutions, which limits practical applications. Software code vulnerabilities are usually caused by function key statements. Therefore, based on binary function decompilation, we identify the key statement that causes the vulnerability, analyze the cross-function data dependency of the key statements, extract the code similarity features and code vulnerability features of the key statements, and propose a feature filtering-based Binary vulnerability detection method SimFilter. SimFilter calculates the similarity of key statements by comparing the characteristics of function key statements, and infers the similarity of binary function vulnerabilities based on the similarity of key statements. The experimental results show that the vulnerability semantic features extracted by SimFilter are highly interpretable, and the accuracy rate is increased by 10.8% compared with other models. At the same time, we analyzed and evaluated the impact of different similarity features on the accuracy of SimFilter, and gave the best empirical value of the SimFilter model in firmware vulnerability detection.

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Performance Verification of Smith Predictor Control Using IMC Scheme via Chemical Reaction Networks and DNA Strand Displacement Reaction

Performance Verification of Smith Predictor Control Using IM...

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Smart World Congress (SWC), IEEE

作者： Jingwang Yao Hui Lv Yijun Xiao Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian University Dalian China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

Biochemical process control is often achieved through feedback control strategies for theoretical analysis and optimization of biochemical reaction processes. Here, the design improves the robustness of the biochemical process by taking advantage of the Smith prediction structure and internal mode control within the chemical reaction network theory framework to intervene against the time delays and perturbations present in the biochemical process. First, an IMC representation of Smith prediction is constructed using the presence of parameter rectification of the control method, and then an IMC-MSP control scheme is proposed. A first-order time-lag controlled object is established in the construction of the IMC-MSP control scheme. Besides, CRNs and kinetic representations are established based on the control structure to facilitate the evaluation of the control system performance. In this paper, CRNs representations of parabolic functions as signal inputs are defined for the first time and optimized for stepping signals to facilitate the design and study of biomolecular circuits. Notably, for the CRNs-based IMC-MSP control scheme, on the one hand, numerical simulation experiments are designed to verify the effectiveness of the whole scheme from multiple perspectives of time delays, external perturbations, and filter tuning parameters; on the other hand, using DNA strand displacement is reflected to verify the feasibility of the whole scheme.

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Magnetoresistance Oscillations in Vertical Junctions of 2D Antiferromagnetic Semiconductor CrPS4

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Physical Review X 2024年第4期14卷 041065-041065页

作者： Pengyuan Shi Xiaoyu Wang Lihao Zhang Wenqin Song Kunlin Yang Shuxi Wang Ruisheng Zhang Liangliang Zhang Takashi Taniguchi MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter Shaanxi Province Key Laboratory of Advanced Materials and Mesoscopic Physics School of Physics Xi’an Jiaotong University Xi’an 710049 China State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Xi’an 710049 China Research Center for Materials Nanoarchitectonics National Institute for Materials Science 1-1 Namiki Tsukuba 305-0044 Japan

Magnetoresistance (MR) oscillations serve as a hallmark of intrinsic quantum behavior, traditionally observed only in conducting systems. Here we report the discovery of MR oscillations in an insulating system, the vertical junctions of CrPS4 which is a two-dimensional A-type antiferromagnetic semiconductor. Systematic investigations of MR peaks under varying conditions, including electrode materials, magnetic field direction, temperature, voltage bias, and layer number, elucidate a correlation between MR oscillations and spin-canted states in CrPS4. Experimental data and analysis point out the important role of the in-gap electronic states in generating MR oscillations, and we propose that spin selected interlayer hopping of localized defect states may be responsible for it. Our findings not only illuminate the unusual electronic transport in CrPS4 but also underscore the potential of van der Waals magnets for exploring interesting phenomena.

关键词： Van der Waals forces

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PPIRB:Achieving an privacy-preserving image retrieval scheme Based on Blockchain 5

PPIRB:Achieving an privacy-preserving image retrieval scheme...

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5th International Conference on Data Science and Information Technology, DSIT 2022

作者： Yuan, Bo Peng, Jiahui Li, Chunpei Qiu, Wangjie School of Computer Science and Engineering State Key Laboratory of Software Development Environment Beihang University Beijing100191 China Guangxi Key Lab of Multi-source Information Mining Security Guangxi Normal University GuiLin China State Key Laboratory of Software Development Environment Beihang University Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing100191 China

ISBN: (数字)9781665498685

ISBN: (纸本)9781665498685

With the proliferation of cloud services, the work of large-scale image retrieval is carried out on remote cloud become a trend in order to get rid of the storage burden and computation. However, traditional retrieval work based on centralized cloud services is considered to take risk in giving away users' privacy in many researches. We need a secure way for retrieving and storing images by decentralized approach. In this paper, we propose a decentralized scheme named PPIRB(An Privacy-Preserving Image Retrieval Scheme Base on Blockchain) for retrieving images based on blockchain. We used the data structure called amplifying locality sensitive hashing (ALSH) to improve search accuracy. Searchable symmetric en-cryption(SSE) and ALSH used to realize the encryption retrieval of image index on the blockchain. Our scheme also uses IPFS to replace the cloud server to realize distributed storage, and uses secret sharing scheme to realize the access control. We implemented and evaluated the scheme in Ethereum, and the results show that our scheme is efficient and accurate in finding similar images while preserving privacy. The overall overhead is reasonable. © 2022 IEEE.

关键词： Blockchain

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Web Service Active Defense Mechanism Based on Automated Software Diversity

Web Service Active Defense Mechanism Based on Automated Soft...

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2020 International Conference on Computer engineering and Application, ICCEA 2020

作者： Liu, Zhenwu Zhang, Zheng Liu, Hao Ma, Bolin PLA Strategic Support Force Information Engineering University State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781728159041

Aiming at the problems of limited number and diversity in existing web server software, an active defense mechanism for web services based on automated software diversity is proposed, and the system framework and implementation are introduced. The formula proves that the probability of an attack escape event is low. Security and performance experiments show that the active defense mechanism of web services based on automated software diversity can resist or detect memory error attacks with less overhead, indicating that automated software diversity can effectively improve the security of web services. This verifies its effectiveness and feasibility. Finally, the research prospects and improvement directions are given according to the implementation granularity of automated software diversity and the monitoring granularity of web services. © 2020 IEEE.

关键词： Web services

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Bi-population Genetic Algorithm-Based Attack Path Discovery Research in Large-scale Networks

Bi-population Genetic Algorithm-Based Attack Path Discovery ...

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World Congress on computing and Communication Technologies (WCCCT)

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

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.

关键词： Clustering algorithms Search problems Iterative algorithms Explosions Communications technology Optimization Genetic algorithms

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