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3rd International Conference on Material Science, Environment Science and Computer Science (MSESCS 2014)

作者： Zhao Dongming Langfang Teachers Coll Langfang Hebei Peoples R China

ISBN: (纸本)9783038350118

As the use of computers become more widely, its intrusion security has become a key issue. In order to solve this problem, this article proposes a analysis research on ac algorithm for the detection of network intrusion. Through the research on the patterns of network intrusion, the ac algorithm for the detection of network intrusion is proposed and analyzed. Simulation results show that the proposed ac algorithm of network intrusion detection has a good efficiency, higher accuracy and efficient use of resources.

关键词： network security intrusion detection ac algorithm performance analysis

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Research on cost early warning of textile industry based on ac algorithm

Research on cost early warning of textile industry based on ...

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2016 3rd International Conference on Modern Economic Technology and Management(ICMETM 2016)

作者： Xiaolu Meng Fuzhou College of Foreign Studies and Trade

In recent years,the textile industry faces huge pressure domestically and *** a small profit margin in the textile industry,it becomes very important to improve the economic efficiency and the cost ***,establishing an effective cost early warning system for the textile industry is *** proposal of ac algorithm predicts the cost alert completely based on the historical data without estimating or assuming the future trend of the input variables in *** on its advantages,the length of pattern(k) is 2,3,4 or 5,and then we respectively build the cost early warning *** to the results of comparison,the model with k =3 has the strongest predictive *** predictive error of the total cost is 1.8%smaller than that of ***,this paper predicts the cost alert of the next five years by the model with k =*** results show that the cost alert has certain ***,we proposed some suggestions to cope with the *** paper also provides references for the industry,government and relevant investors.

关键词： cost early warning ac algorithm textile industry self-organizing data mining method

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Intelligent design generation of plane pattern based on RJMCMC algorithm

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JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2025年第1期25卷 752-765页

作者： Shi, Xiaoyun Chuzhou Polytech Sch Commun & Design Chuzhou Peoples R China

Pattern design has a wide range of applications in daily life, such as decoration design, web design, and so on. Common design methods include artificial design and intelligent design, and design methods based on intelligent technology tend to have higher efficiency. In order to make the generation of plane pattern intelligent design more convenient and fast, a pattern design generation method based on Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm was proposed, and the correlation was carried out. At the same time, the same type of genetic algorithm (GA) and ant colony algorithm (ac) were introduced for performance comparison and verification. The research results show that the maximum pattern sampling accuracy of the RJMCMC algorithm is about 0.972, and the AUC value corresponding to the ROC curve is about 0.936, which are higher than other algorithms. In the algorithm iteration process, the iterative efficiency of the RJMCMC algorithm is also higher than the other two algorithms. At the same time, in the same pattern sampling processing time, the sampling number of RJMCMC algorithm is significantly higher than the other two algorithms. In the comparison of the loss value curve, the RJMCMC algorithm shows a better fitting effect, and its loss value is lower than the other two algorithms after iteration. In addition, after iteration, the error of RJMCMC algorithm is also smaller than the other two algorithms. Comprehensive analysis shows that the RJMCMC algorithm has excellent performance in pattern sampling, which can provide great help for the design and generation of plane patterns.

关键词： iterative efficiency pattern design RJMCMC algorithm sampling quantity GA algorithm ac algorithm

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An improved ac pattern matching algorithm

An improved AC pattern matching algorithm

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2nd International Conference on Information Technology and Management Innovation (ICITMI 2013)

作者： Jia, Mo Chen, Mel Li, Hui Guizhou Univ Guizhou Engn Lab Adv Comp & Med Informat Serv Guiyang Peoples R China

ISBN: (纸本)9783037858646

In this paper, we study how to improve the efficiency of classic ac matching algorithm for scanning systems, and proposed an algorithm named ac-SUN based on Sunday matching algorithm. In our design, ac-SUN combines jumps strengths of Sunday algorithm and ac algorithm to avoid verbatim matching problem, meanwhile it retaining the advantages of the ac algorithm that establishes state tree and invalid pointer to increasing successful matching percentage. Our experimental result also verified its superiority to the classic ac algorithm.

关键词： ac algorithm Sunday algorithm improved pattern matching algorithm

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Research on a cluster system for binary data frames of wireless sensor network

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2016年第2期19卷 783-791页

作者： Zheng, Jie Univ Elect Sci & Technol China Dept Comp Sci & Engn Chengdu 611731 Peoples R China Career Acad Elect Engn Chongqing Chongqing 401331 Peoples R China

As the development of network became more complex, protocol reverse engineering has attracted increasing attention and widely applied in intrusion detection, vulnerability discovery, and electronic countermeasures. To separate the obtained binary data frames under complex wireless network environment so as to provide prerequisite for the following reverse protocol analysis, cluster system of complex protocol suites was implemented. First, ac algorithm was utilized to mine the frequent sequence characteristics in binary data frames. Then Apriori algorithm was employed innovatively to analyze the association relationships between these characteristics. In addition, combining with the features of binary frames, the results were conducted by four-step pruning. Finally, the selected characteristics were applied for cluster by the improved K-means algorithm. Results indicated that: the clustering effect of the system for binary protocol data frames is favorable. Meanwhile, as for the multilayer protocol suites with TYPE fields, the system is able to further distinguish the hierarchical relations between multiple protocols.

关键词： Protocol reverse engineering Wireless network Protocol frame cluster Frequent sequence ac algorithm Apriori algorithm K-means algorithm

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Rapid Detection of Stego Images Based on Identifiable Features 17

Rapid Detection of Stego Images Based on Identifiable Featur...

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17th IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATIONS TECHNOLOGY (ICacT)

作者： Pang, Weiwei Luo, Xiangyang Ren, Jie Yang, Chunfang Liu, Fenlin State Key Lab Math Engn & Adv Comp Zhengzhou 450001 Peoples R China Zhengzhou Sci & Technol Inst Zhengzhou 450001 Peoples R China Sci & Technol Informat Assurance Lab Beijing 100072 Peoples R China

ISBN: (纸本)9788996865056

An increasing number of images in the Internet brings forward a higher requirement on the speed of steganalysis. For the problem of real-time detection of stego images, a method of images steganalysis rapidly based on identifiable features is proposed, where the identifiable features are specific character sequences left in stego images by steganography tools. according to finding whether an image contains these features can judge reliably the image is stego or cover. Meanwhile, for multiple identifiable features appearing on the same location of an image, an algorithm of identifiable features recognized based on ac (Aho-Corasick) multi-features matching algorithm is proposed, which can improve the detection speed. Experiment shows that the steganalysis method proposed can achieve a perfect detection precision, and the detection speed can be improved significantly comparing with traditional methods (matching bytes one by one).

关键词： Steganalysis Identifiable features Steganography tools ac algorithm Stego image detection

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Efficient Network Packet Signature Matching on GPUs

Efficient Network Packet Signature Matching on GPUs

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2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA)

作者： Pan, Xiaohui Shanghai Univ Polit Sci & Law Modern Educ Technol Ctr Shanghai 201701 Peoples R China

ISBN: (纸本)9781479927166

Network signature matching is an important task in many applications such as network security or traffic analysis, which generally rely on a flexible signature matching system to extract important packet information from each processed packet. This task is computation and data intensive, and requires significant processing time in sequential manner. In order to accelerate signature matching of giga-bit network traffic, we aim to exploit the inherent parallelism of signature matching through the use of parallel graphics processor units. In this paper, we present detailed analysis of signature matching along with the system design for parallel graphics processors(GPUs). The signature matching schema proposed is based on port matching and keyword matching in each packet header. A real system on graphics processor units was implemented to evaluate the efficacy of our design. Experimental results proved that signature matching can be efficiently done on graphics processor units.

关键词： Signature matching ac algorithm GPUs

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Intelligent Dynamic Resource Allocation for Network Slicing Based on actor-Critic algorithm 14

Intelligent Dynamic Resource Allocation for Network Slicing ...

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14th IEEE International Conference on Advanced Infocomm Technology (ICAIT)

作者： Yang, Bei Li, Qiyao She, Xiaoming Zhu, Jianchi Wei, Fengsheng Chen, Peng Wang, Jianxiu China Telecom Res Inst Beijing 102209 Peoples R China Univ Elect Sci & Technol China Chengdu 611731 Peoples R China

ISBN: (数字)9781665471565

ISBN: (纸本)9781665471565

Network slicing has been widely acknowledged as a promising architectural technology to meet the different service requirements of diversified applications for future mobile networks. Since there are significant dynamics in traffic and resource availability, resource isolation must be realized through agile re-provisioning of slices, to guarantee the Quality of Service (QoS) of individual network slices. We thus need to dynamically adjust the amount of resources allocated to different data flows carried in a slice. In this paper, we investigate the dynamic resource allocation mechanism in a slice with the aim of improving the user's service quality. We first model the dynamic resources allocation problem as a Markov Decision Process (MDP), and employ actor-Critic (ac) algorithm, a specific reinforcement learning algorithm, to pursue the long-term optimal resources allocation. We conduct simulations to evaluate the performance of our proposed algorithm and the numerical results demonstrate its effectiveness.

关键词： network slicing dynamic slice resources allocation user satisfaction ac algorithm

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Research and improvement of multiple pattern matching algorithm in Linux intrusion detection

Research and improvement of multiple pattern matching algori...

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International Conference on Multimedia, Communication and Computing Application（MCCA 2014）

作者： F.Y.Wang H.T.Chen Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology

With the development of Internet,the Linux operating system is widely used,and at the same time,the means of network intrusion attack is also constantly *** detection system can find the intrusion behavior through comparing the packets captured with the known network intrusion feature *** algorithm has the advantage of simultaneously doing multiple pattern match searching;however,there will be many unnecessary comparison,which will affect the efficiency of the intrusion detection *** improve the matching efficiency,according to the automaton building of finite state of ac algorithm,this article uses the bouncing ideas of BM algorithm to optimize the displacement of text string and then an improved algorithm combining the bidirectional ac algorithm and BM algorithm is *** experimental results show that the matching time and the number of matches are effectively reduced.

关键词： ac algorithm BM algorithm Multiple pattern matching algorithm Intrusion detection

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Cluster system for binary data frame

Cluster system for binary data frame

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ICINS 2014 - 2014 International Conference on Information and Network Security

作者： Yang Yue Yuan Liu Chunrui Zhang Fanzhi Meng Institute of Computer Application China Academy of Engineering Physics Mianyang Sichuan 621900 China

ISBN: (纸本)9781510804289

Protocol reverse engineering is very important for information security. In the complex wireless network environment, in order to separate binary data frames for subsequent reverse protocol analysis, this paper proposes a frame cluster system designed for binary frames using complex protocol stacks. It first uses ac algorithm to get the frequent characteristics of the binary frames, then creatively uses the Apriori algorithm to explore the relationship between these characteristics and the 4-step pruning process to choose the most important characteristics, and finally uses the selected characteristics and their relationships, through the Kmeans algorithm to cluster the frames. Experiments show that the result is good, and if the protocol type field exist, it is possible to distinguish the layered relationships between different clusters.

关键词： ac algorithm Apriori algorithm Kmeans algorithm protocol frame cluster protocol reverse engineering Frame binary data Reverse engineering FRAMES Protocol Analysis protocols computer information security Wireless networks

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