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2nd Information Communication Technologies Conference, ICTC 2021

作者： Yaohui, Hao Yingze, Liu Baole, Zhao Qingxian, Wang Information Engineering University State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Information Engineering University Zhengzhou China

ISBN: (纸本)9780738142876

In order to achieve better effect on blocking virus propagation, a neighbor immunization strategy was proposed and verified in this paper. On email-EU real networks and on scale-free model network, the efficiencies of the neighbor immunization strategy and the random immunization strategy in SIR and SEIR virus spreading models were compared and analyzed by simulation experiment. The result indicates that the neighbor immunization strategy is a feasible and effective. This phenomenon shows that neighbor immunization strategy can improve to the future virus and effectively prevent the virus spreading. © 2021 IEEE.

关键词： Immunization

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Collision attack framework on RIPEMD-128 2

Collision attack framework on RIPEMD-128

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2nd International Conference on Artificial Intelligence and advanced Manufacture, AIAM 2020

作者： Li, Jingyu Zeng, Guang Yang, Yang State Key Laboratory of Mathematical Engineering and Advanced Computing PLA Strategic Force Information Engineering University Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing PLA Information Engineering University Zhengzhou China Trusted Computing and Information Assurance Laboratory Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728199863

In the last few years, the hash functions are the very common and essential primitives implemented in lots of fields. RIPEMD-128, a member of MD-family hash function, has been found collisions on the full round. In this paper, we further analyze the property about the security against collision attack of RIPEMD-128. The collision attack framework for RIPEMD-128 is proposed in order to provide ideas for other hash functions. The framework consists of three parts namely choosing a message word difference insertion, constructing differential characteristics and collision search phase. Cryptographic techniques including message modification is also introduced to reduce the complexity. © 2020 IEEE.

关键词： Hash functions

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Virtual Sample Generation for Retraining the Malicious PDF Detection Model 4

Virtual Sample Generation for Retraining the Malicious PDF D...

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4th International Conference on Data Mining, Communications and Information Technology, DMCIT 2020

作者： He, Kang Liu, Long Lu, Dong-Zhe Zhu, Yuefei State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China Information Engineering University Zhengzhou450001 China

PDF files are adopted for launching cyberattacks because of their popularity and the increasing number of relative vulnerabilities. Machine learning algorithms are developed to detect the maliciousness of PDF files. As the exploits of new vulnerabilities occur, the assumption that the training data and the test data share the same distribution does not hold and the ability of origin model to detect exploits of new vulnerabilities weakens gradually. In a real environment, it is very difficult to obtain numerous samples of exploits with the same CVE. and the machine learning models are difficult to be improved by retraining. Virtual sample generation could be used to generate sufficient virtual samples by small sample sets to improve the generalization of the existing model. A new VSG algorithm based on prior knowledge is proposed in this paper, which performs better than other VSG algorithms in improving the detection on exploits of new vulnerabilities. © Published under licence by IOP Publishing Ltd.

关键词： Learning algorithms

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Information Transfer Model of Virtual Machine Based on Storage Covert Channel

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Wuhan University Journal of Natural Sciences 2013年第5期18卷 377-384页

作者： WANG Xiaorui WANG Qingxian GUO Yudong LU Jianping Fourth Department PLA Information Engineering University State Key Laboratory of Mathematical Engineering and Advanced Computing Department of Communication Command Chongqing Communication Institute

Aiming at the problem that virtual machine information cannot be extracted incompletely, we extend the typical information extraction model of virtual machine and propose a perception mechanism in virtualization system based on storage covert channel to overcome the affection of the semantic gap. Taking advantage of undetectability of the covert channel, a secure channel is established between Guest and virtual machine monitor to pass data directly. The Guest machine can pass the control information of malicious process to virtual machine monitor by using the VMCALL instruction and shared memory. By parsing critical information in process control structure, virtual machine monitor can terminate the malicious processes. The test results show that the proposed mechanism can clear the user-level malicious programs in the virtual machine effectively and covertly. Meanwhile, its performance overhead is about the same as that of other mainstream monitoring mode.

关键词： virtualization safety protection information extraction of virtual machine covert channel process control structure

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Anti-reconnaissance Model of Host Fingerprint Based on Virtual Node 4

Anti-reconnaissance Model of Host Fingerprint Based on Virtu...

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4th International Conference on Data Mining, Communications and Information Technology, DMCIT 2020

作者： Zhang, Tao Lu, Bin Li, Ding He, Kang Zhu, Yuefei State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China Information Engineering University Zhengzhou450001 China

Aiming at the problem of insufficient defense ability of fingerprint detection, the anti-reconnaissance model of host fingerprint based on virtual node is proposed. The model constructs periodically reconfigurable virtual nodes, dynamically camouflages the fingerprint information of the host to deceive the detector, and redirect attack traffic targeting virtual nodes to honeypots that can capture and analyze attack behavior. Honeypot, as an active defense technology, can effectively improve the model's defense capabilities. This paper introduces probabilistic models for the defense model to provide a deeper understanding of the theoretical effect their parameters have for cybersecurity, which quantifies the impact of different parameters on the probability of attack success, such as the number of probes, number of honeypot mapping rules, the virtual node deception rate, the honeypot detection rate and allowable losses. Furthermore, our prototype system using Software Defined Network (SDN) and Data Plane Development Kit (DPDK) verifies the effectiveness of the model against reconnaissance. © Published under licence by IOP Publishing Ltd.

关键词： Network security

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GCORE: A Gravitation-Based Approach for Chinese Open Relation

GCORE: A Gravitation-Based Approach for Chinese Open Relatio...

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International Conference on Computer Science and Mechanical Automation, CSMA 2015

作者： Wang, Yue Zhou, Gang Tian, Fei Nan, Yu Ma, Jiangtao Information and Engineering University State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Information and Engineering University Zhengzhou China

ISBN: (纸本)9781467391658

Traditional Relation Extraction (RE) trains individual extractors for pre-defined relations. Open Relation Extraction (ORE) can eschew domain-specific training data, tackle an unbounded number of relations, and scale up to massive and heterogeneous corpus such as the web. However, It is difficult to process micro log texts: the genre is noisy, utterances are very short, and texts have little context. As such, conventional RE approaches fail when faced with micro log and other Web texts. In this paper, we present a gravitation-based Chinese ORE approach to extracting relations between entities by using the idea of the law of universal gravitation. GCORE produces heuristic rules to extract entity relations, and calculates a confidence score for each relational tuple, which is directly proportional to the product of the frequency of entity pairs and the frequency of relation words, and inversely proportional to the square of the distance between the relation word and the candidate entity pair. The confidence score can be used to show the reliability of relational tuples. The higher the score, the more reliable the candidate tuple is, and vice versa. The experimental evaluation over two data sets from ZORE demonstrates the correctness and effectiveness of our proposed approach, and empirical results on Weibo texts show the universality of GCORE. © 2015 IEEE.

关键词： Gravitation

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A Review of Few-Shot Network Traffic Classification Based on Deep Learning

A Review of Few-Shot Network Traffic Classification Based on...

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2023 International Conference on Mechatronics and Intelligent Control, ICMIC 2023

作者： Yang, Kai Wang, Ruo Nan Meng, Qi Meng, Long Qi, Zan Li, Xue Fei, Jin Long State Key Laboratory of Mathematical Engineering And Advanced Computing PLA Strategic Support Force Information Engineering University Zhengzhou China

ISBN: (纸本)9781510668393

At present, deep learning has achieved excellent performance in the field of network traffic classification. However, deep learning relies on massive data-driven classification models. When the data set is small, it is usually hindered. In order to solve this problem, few-shot network traffic classification technology based on deep learning has been gradually studied. In this paper, we conducted a comprehensive survey to fully understand the few-shot traffic classification techniques. We first define the few-shot traffic classification problem. Based on how to solve the contradiction between the few-shot data set and the large number of parameters to be trained in the model, we classify the current few-shot traffic classification method based on deep learning from two perspectives: (1) Data augmentation method, which uses the method of expanding the data set to enhance the supervision experience. In this paper, the methods based on data enhancement are divided into two categories based on GAN and feature transformation.(2) Model-based methods. Model-based methods are divided into three categories: transfer learning, metric learning and meta-learning. And discuss the advantages and disadvantages of each classification method. Finally, the results are summarized and the future development direction of few-shot network traffic classification technology based on deep learning is prospected. © 2023 SPIE.

关键词： Deep learning

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A probabilistic framework of preference discovery from folksonomy corpus

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Frontiers of Computer Science 2017年第6期11卷 1075-1084页

作者： Xiaohui GUO Chunming HU Richong ZHANG Jinpeng HUAI State Key Lab of Software Development Environment Beihang University Beijing 100191 China Institute of Advanced Computing Technology School of Computer Science and Engineering Beihang University Beijing 100191 China

The increasing availability of folksonomy data makes them vital for user profiling approaches to precisely detect user preferences and better understand user interests, so as to render some personalized recommendation or re- trieval results. This paper presents a rigorous probabilis- tic framework to discover user preference from folkson- omy data. Furthermore, we incorporate three models into the framework with the corresponding inference methods, expectation-maximization or Gibbs sampling algorithms. The user preference is expressed through topical conditional distributions. Moreover, to demonstrate the versatility of our framework, a recommendation method is introduced to show the possible usage of our framework and evaluate the applica- bility of the engaged models. The experimental results show that, with the help of the proposed framework, the user pref- erence can be effectively discovered.

关键词： preference discovery tagging folksonomy so-cial annotation

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An Improved spectral graph partition intelligent clustering algorithm for low-power wireless networks

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Journal of Ambient Intelligence and Humanized computing 2019年 1-9页

作者： Chen, Ling Chen, Yan Wang, Yu Zhengzhou Science and Technology Institute Zhengzhou450002 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China College of Computer Science Henan University of Engineering Zhengzhou451191 China

Aiming at the problem of energy imbalance and low-energy efficiency in wireless sensor network, a novel energy-balanced clustering routing algorithm based on spectral graph partition is proposed in this paper, which firstly calculates the optimum single-hop distance, balances the energy consumption of cluster heads, and avoids that the number of cluster heads is not fixed and cluster heads are clustered by using the traditional probability function. In addition, the transmission cost function is designed to construct the optimum transmission path to reduce energy consumption. The experimental results show that the network performance of our proposed algorithm is improved, which achieves on low-energy network for loss reduction and load balancing. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Cost functions

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An Efficient Rule Processing Architecture Based on Reconfigurable Hardware 1

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23rd Annual Conference on Computer engineering and Technology, NCCET 2019

作者： Chen, Mengdong Ren, Xiujiang Xie, Xianghui State Key Laboratory of Mathematical Engineering and Advanced Computing Henghua Science and Technology Park WuxiJiangsu214125 China

ISBN: (数字)9789811518508

ISBN: (纸本)9789811518492

In the recovery of security strings in identity authentication mechanism, the combination of dictionary and string transformation rules is an effective method. However, the processing of string transformation rules faces challenges such as performance and energy efficiency. The existing tools and researches are based on software. It’s difficult to meet the needs of actual recovery systems. In this paper, an efficient rule processing architecture based on reconfigurable hardware is proposed. The rules are processed using FPGA for the first time. A rule processor is designed and implemented on Xilinx Zynq XC7Z030 chip. The experimental results show that the performance of the rule processor is better than that of Intel i7-6700 CPU in typical cases. The performance power ratio of the rule processor is 1.4–2.1 times higher than that of NVIDIA GeForce GTX 1080 Ti GPU and 70 times higher than that of CPU, which effectively improves the speed and efficiency of rule processing. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Reconfigurable hardware

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