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4th International Conference on Advances in Computer Technology, Information Science and Communications, CTISC 2022

作者： Zheng, Liu Han, Qiu Junhu, Zhu Information & Engineering University State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665458726

ISBN: (纸本)9781665458726

In the research of imbalanced data classification, the resampling effect of the existing resampling and random forest combination technology is greatly affected by the characteristic dimension of the training set, resulting in the unsatisfactory classification effect of the model. To solve this problem, a combination method of resampling and Random Forest for imbalanced data classification is proposed. The core idea is to resample the original data set multiple times by using the feature subset of each subtree in the random forest. By reducing the number of features used in a single resampling, the influence of feature dimension on resampling effect is reduced;Different feature subsets are used for resampling in different subtrees to improve the diversity of base classifiers. Based on SMOTE, B-SMOTE and ADASYN resampling techniques, three different optimization algorithms PSRF, PBSRF and PADRF are realized respectively. Taking the geometric mean and recall rate as evaluation indexes, the experimental results on 10 groups of KEEL data show that compared with the algorithm before optimization, the geometric mean values of the three algorithms are increased by 0.85%, 2.93% and 0.79% respectively, and the recall rates are increased by 1.44%, 3.26% and 1.07% respectively. © 2022 IEEE.

关键词： Machine learning

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Defense strategy selection method for Stackelberg security game based on incomplete information 2019

Defense strategy selection method for Stackelberg security g...

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2019 International Conference on Artificial Intelligence and Computer Science, AICS 2019

作者： Ge, Xiaoyue Zhou, Tianyang Zang, Yichao State Key Laboratory of Mathematical Engineering and Advanced Computing Information and Engineering University Zhengzhou China

ISBN: (纸本)9781450371506

Network attack and defense confrontation is essentially a game process between unequal subjects on both sides of attack and defense. There are some defects in the prior hypothesis that the subject status of both sides of the attack and defense game is equal and the active defense ability is insufficient in the research of the existing network defense strategy. In this paper, game theory unequal thought and defender active release incentive technology into network defense strategy generation model construction process, and a Stackelberg Security Game defense strategy generation method based on incomplete information is proposed. By establishing the network model, the strong equilibrium strategy algorithm of Stackelberg Security Game with incomplete information is used to generate the optimal defense strategy of the network. The defender can actively release the incentive strategy without reducing the accuracy of defense strategy generation. The experimental results provide a method for the selection of optimal defense strategy, and can strengthen the security of the system. © 2019 Association for computing Machinery.

关键词： Game theory

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Exploration and research of blended learning in the "principles of computer organization" 2

Exploration and research of blended learning in the "princip...

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2nd International Conference on Computer Science and Educational Informatization, CSEI 2020

作者： Hou, Yifan Wang, Wei Liu, Fudong Shan, Zheng Wang, Junchao Wang, Lixin State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou China

ISBN: (纸本)9781728170077

The'Principles of Computer Organization' is the core basic course for the construction of computer hardware courses. In this paper, it analyzes the characteristics of the 'Principles of Computer Organization 'Aiming at the challenges faced by the traditional teaching. This paper makes a beneficial exploration on the teaching reform of the Principle of Computer Composition based on the blended learning mode from the aspects of teaching content, teaching method transformation, interactive communication, evaluation and assessment, etc. This paper proposes a framework for self-learning ability training based on a blended learning model, which is applied and formed in the course of principles. Teaching practice shows that the reform of teaching mode and teaching practice not only stimulates learning interest and motivation of students, but also improves their self-learning ability and practical ability. © 2020 IEEE.

关键词： Teaching

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NOMANet: A Graph Neural Network Enabled Power Allocation Scheme for NOMA

arXiv

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arXiv 2025年

作者： Hou, Yipu Lu, Yang Chen, Wei Ai, Bo Niyato, Dusit Ding, Zhiguo State Key Laboratory of Advanced Rail Autonomous Operation China School of Computer Science and Technology Beijing Jiaotong University Beijing100044 China School of Electronics and Information Engineering Beijing Jiaotong University Beijing100044 China College of Computing and Data Science Nanyang Technological University 639798 Singapore Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi127788 United Arab Emirates

This paper proposes a graph neural network (GNN) enabled power allocation scheme for non-orthogonal multiple access (NOMA) networks. In particular, a downlink scenario with one base station serving multiple users over several subchannels is considered, where the number of subchannels is less than the number of users, and thus, some users have to share a subchannel via NOMA. Our goal is to maximize the system energy efficiency subject to the rate requirement of each user and the overall budget. We propose a deep learning based approach termed NOMA net (NOMANet) to address the considered problem. Particularly, NOMANet is GNN-based, which maps channel state information to the desired power allocation scheme for all subchannels. The multi-head attention and the residual/dense connection are adopted to enhance the feature extraction. The output of NOMANet is guaranteed to be feasible via the customized activation function and the penalty method. Numerical results show that NOMANet trained unsupervised achieves performance close to that of the successive convex approximation method but with a faster inference speed by about 700 times. Besides, NOMANet is featured by its scalability to both users and subchannels. © 2025, CC BY.

关键词： Channel state information

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A Network Deception Defense Mechanism Based on Virtual Topology Generation

A Network Deception Defense Mechanism Based on Virtual Topol...

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2023 International Conference on Intelligent Systems, Communications, and Computer Networks, ISCCN 2023

作者： Wang, Binghui Lu, Bin State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou China

ISBN: (纸本)9781510666238

To address the problem that traditional network defense techniques are difficult to cope with scanning attacks launched by internal attackers, this paper proposes a Virtual Network Topology Deception Defense mechanism(VNTDD)based on the idea of deception defense. In order to solve the problem of lack of randomness and security of virtual network topology, we divide the virtual network topology into three categories: forwarding nodes, real nodes and virtual nodes, and analyze their deployment locations and numbers respectively to generate a random virtual network topology, and enables the deployment of virtual network topology on the underlying real network through traffic control mechanisms. Finally, through experimental analysis, the VNTDD deception defense mechanism proposed in this paper can effectively prolong the scanning process of the intranet by internal attackers. © 2023 SPIE. All rights reserved.

关键词： Topology

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The Propagation Strategy Model of Taint Analysis 4

The Propagation Strategy Model of Taint Analysis

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2019 4th International Seminar on Computer Technology, Mechanical and Electrical engineering, ISCME 2019

作者： Ren, Yuzhu Zhao, Jiangtao Zhang, Cao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan450000 China

The taint propagation strategy is the core of the taint analysis technology. When the taint analysis toolsanalyses the target program, it needs to mark the target data according to the formulatedtaint propagation strategy. Formulating a reasonable strategy for taint propagation can effectively improve the accuracy of taint analysis. There are two difficulties in developing the taint propagation strategy, namely, alias analysis in static taint analysis and indirect jump in dynamic taint analysis. In our paper, we propose a taint propagation strategy at the intermediate representation language level, which can effectively improve the accuracy of taint propagation. © Published under licence by IOP Publishing Ltd.

关键词：

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A Regional Network Topology Construction Algorithm Based on Sampling Measurement 5

A Regional Network Topology Construction Algorithm Based on ...

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2021 5th International Workshop on advanced Algorithms and Control engineering, IWAACE 2021

作者： Tao, Zhiyuan Liu, Yan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan450001 China

Network topology construction is one of the basic means to study the target network. Whether it is the discovery of vital nodes, IP location or network characteristics mining, a complete and accurate network topology is needed. In this paper, a regional network topology construction algorithm based on sampling measurement is proposed to solve the problem of high time cost and resource waste of existing algorithms. Firstly, multiple vantage points located inside and outside the target area are selected to form a probing set. Then the IPes of the target area is extracted based on sampling to form the target IP set. Finally, the probing set is used to probe the target IP set periodically. The network topology of the target region was constructed based on the results of a 40-day internet measurement and compared with the existing database. The experimental results show that the coverage rate of routing nodes in the target area is improved by more than 90% compared with the measured data provided by CAIDA (Center for Applied Internet Data Analysis) and by more than 10% compared with the measured data provided by IPIP. © Published under licence by IOP Publishing Ltd.

关键词： Network topology

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DRTaint: A Dynamic Taint Analysis Framework Supporting Correlation Analysis between Data Regions

DRTaint: A Dynamic Taint Analysis Framework Supporting Corre...

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2021 International Conference on Computer Network Security and Software engineering, CNSSE 2021

作者： Yang, Pan Kang, Fei Zhao, Yuntian Shu, Hui State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan450001 China

Taint analysis is a common technology for software analysis, which is widely used in the region of information security. Aiming at the problem that the existing binary program dynamic taint analysis framework does not support "replay"analysis and the analysis efficiency is low, a taint analysis framework called DRTaint is proposed. DRTaint is a universal taint analysis framework that supports correlation analysis between data regions. Experiments show that DRTaint shows good performance advantages when performing taint analysis many times on one program. On the basis of DRTaint, this paper studies the malicious code behavior extraction method based on taint analysis, and the research finds that DRTaint can provide better support for malicious code behavior extraction. © Published under licence by IOP Publishing Ltd.

关键词： Malware

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A survey of offensive security research on PLCs

A survey of offensive security research on PLCs

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2021 International Conference on Computer, Communication, Control, Automation and Robotics, CCCAR 2021

作者： Ma, Rongkuan Wei, Qiang Wang, Qingxian State Key Laboratory of Mathematical Engineering and Advanced Computing Henan Zhengzhou450001 China

Industrial Control Systems (ICSs) are widely deployed in critical infrastructures, such as electric power, water filtration and distribution. Programmable Logic Controllers (PLCs) work as the core components of an ICS. The offensive security technology of PLCs has attracted the popular interests of both attackers and researchers. In this paper, we firstly abstract a 4-layers model of PLC's implementation, and then summarize and classify attacks against PLCs into 5 types. Further, we point out the features and trends of the related attack studies, which is helpful to promote the research in the ICS security community and provide vital suggestions for defenders. © Published under licence by IOP Publishing Ltd.

关键词： Programmable logic controllers

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A software upgrade security analysis method based on program analysis

A software upgrade security analysis method based on program...

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2021 IEEE International Conference on Computer Science, Electronic Information engineering and Intelligent Control Technology, CEI 2021

作者： Lv, Xiaoshao Shu, Hui Kang, Fei Huang, Yuyao State Key Laboratory of Mathematical Engineering and Advanced Computing Henan Zhengzhou450001 China

ISBN: (纸本)9780738146492

Security of online software upgrade has become one of the most important evaluation criteria of cyber security. It is too inefficient to evaluate the security of software upgrade by manual reverse analysis method, which requires high-level cryptography knowledge and reverse analysis ability of researchers. The universality of software upgrade vulnerability puts forward high requirements for efficient and automatic analysis methods. In this paper, we propose a program analysis method combining dynamic analysis and static analysis to automatically evaluate software upgrade security. By parsing the process of software online upgrade deeply, we establish the upgrade vulnerability models, and utilize the program analysis method to evaluate the upgrade security. The experimental result has shown that this method can evaluate the security of software upgrade accurately and quickly. © 2021 IEEE.

关键词： Cryptography

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