Journal of Computer Science and Cybernetics最新文献_第9页

A DOUBLE-SHRINK AUTOENCODER FOR NETWORK ANOMALY DETECTION 用于网络异常检测的双收缩自编码器

Journal of Computer Science and Cybernetics Pub Date : 2020-05-11 DOI: 10.15625/1813-9663/36/2/14578

Cong Thanh Bui, Loi Cao Van, Minh Hoang, Quang Uy Nguyen

{"title":"A DOUBLE-SHRINK AUTOENCODER FOR NETWORK ANOMALY DETECTION","authors":"Cong Thanh Bui, Loi Cao Van, Minh Hoang, Quang Uy Nguyen","doi":"10.15625/1813-9663/36/2/14578","DOIUrl":"https://doi.org/10.15625/1813-9663/36/2/14578","url":null,"abstract":"The rapid development of the Internet and the wide spread of its applications has affected many aspects of our life. However, this development also makes the cyberspace more vulnerable to various attacks. Thus, detecting and preventing these attacks are crucial for the next development of the Internet and its services. Recently, machine learning methods have been widely adopted in detecting network attacks. Among many machine learning methods, AutoEncoders (AEs) are known as the state-of-the-art techniques for network anomaly detection. Although, AEs have been successfully applied to detect many types of attacks, it is often unable to detect some difficult attacks that attempt to mimic the normal network traffic. In order to handle this issue, we propose a new model based on AutoEncoder called Double-Shrink AutoEncoder (DSAE). DSAE put more shrinkage on the normal data in the middle hidden layer. This helps to pull out some anomalies that are very similar to normal data. DSAE are evaluated on six well-known network attacks datasets. The experimental results show that our model performs competitively to the state-of-the-art model, and often out-performs this model on the attacks group that is difficult for the previous methods.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91366130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

ENROLLMENT FORECASTING BASED ON LINGUISTIC TIME SERIES 基于语言时间序列的招生预测

Journal of Computer Science and Cybernetics Pub Date : 2020-05-11 DOI: 10.15625/1813-9663/36/2/14396

N. D. Hieu, N. C. Ho, Vũ Như Lân

{"title":"ENROLLMENT FORECASTING BASED ON LINGUISTIC TIME SERIES","authors":"N. D. Hieu, N. C. Ho, Vũ Như Lân","doi":"10.15625/1813-9663/36/2/14396","DOIUrl":"https://doi.org/10.15625/1813-9663/36/2/14396","url":null,"abstract":"Dealing with the time series forecasting problem attracts much attention from the fuzzy community. Many models and methods have been proposed in the literature since the publication of the study by Song and Chissom in 1993, in which they proposed fuzzy time series together with its fuzzy forecasting model for time series data and the fuzzy formalism to handle their uncertainty. Unfortunately, the proposed method to calculate this fuzzy model was very complex. Then, in 1996, Chen proposed an efficient method to reduce the computational complexity of the mentioned formalism. Hwang et al. in 1998 proposed a new fuzzy time series forecasting model, which deals with the variations of historical data instead of these historical data themselves. Though fuzzy sets are concepts inspired by fuzzy linguistic information, there is no formal bridge to connect the fuzzy sets and the inherent quantitative semantics of linguistic words. This study proposes the so-called linguistic time series, in which words with their own semantics are used instead of fuzzy sets. By this, forecasting linguistic logical relationships can be established based on the time series variations and this is clearly useful for human users. The effect of the proposed model is justified by applying the proposed model to forecast student enrollment historical data.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"45 1","pages":"119-137"},"PeriodicalIF":0.0,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73899589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

EVALUATING EFFECTIVENESS OF ENSEMBLE CLASSIFIERS WHEN DETECTING FUZZERS ATTACKS ON THE UNSW-NB15 DATASET 评估集成分类器在检测unsw-nb15数据集上的模糊攻击时的有效性

Journal of Computer Science and Cybernetics Pub Date : 2020-05-11 DOI: 10.15625/1813-9663/36/2/14786

Hoang Ngoc Thanh, T. Lang

引用次数: 5

AN EFFICIENT ALGORITHM FORMINING HIGH UTILITY ASSOCIATION RULES FROM LATTICE 一种从格中挖掘高效用关联规则的高效算法

Journal of Computer Science and Cybernetics Pub Date : 2020-05-11 DOI: 10.15625/1813-9663/36/2/14353

Trinh D. D. Nguyen, Loan T. T. Nguyen, Quyen Tran, Bay Vo

引用次数: 1

DESIGNING A ROBUST ADAPTIVE TRACKING BACKTEPPING CONTROLLER CONSIDERING ACTUATOR SATURATION FOR A WHEELED MOBILE ROBOT TO COMPENSATE UNKNOWN SLIPPAGE 针对轮式移动机器人设计一种考虑致动器饱和的鲁棒自适应跟踪后退控制器，以补偿未知滑移

Journal of Computer Science and Cybernetics Pub Date : 2020-05-11 DOI: 10.15625/1813-9663/36/2/14807

Chung P. Le, Kiem Nguyen Tien, Linh V. Nguyen, Tinh Nguyen, Tung Hoang

引用次数: 0

AN EFFECTIVE REVERSIBLE DATA HIDING METHOD BASED ON PIXEL-VALUE-ORDERING 一种有效的基于像素值排序的可逆数据隐藏方法

Journal of Computer Science and Cybernetics Pub Date : 2020-05-11 DOI: 10.15625/1813-9663/36/2/14084

Nguyen Kim Sao, Nguyen Ngoc Hoa, Pham Van At

{"title":"AN EFFECTIVE REVERSIBLE DATA HIDING METHOD BASED ON PIXEL-VALUE-ORDERING","authors":"Nguyen Kim Sao, Nguyen Ngoc Hoa, Pham Van At","doi":"10.15625/1813-9663/36/2/14084","DOIUrl":"https://doi.org/10.15625/1813-9663/36/2/14084","url":null,"abstract":"This paper presents a new effective reversible data hiding method based on pixel-valueordering (iGePVO-K) which is improvement of a recent GePVO-K method that recently is considered as a PVO-used method having highest embedding capacity. In comparison with GePVO-K method, iGePVO-K has the following advantages. First, the embedding capacity of the new method is higher than that of GePVO-K method by using data embedding formulas reasonably and reducing the location map size. Second, for embedding data, in the new method, each pixel value is modified at most by one, while in GePVO-K method, each pixel value may be modified by two. In fact, in the GePVO-K method, the largest pixels are modified by two for embedding bits 1 and by one for bits 0. This is also true for the smallest pixels. Meanwhile, in the proposed method, the largest pixels are modified by one for embedding bits 1 and are unchanged if embedding bits 0. Therefore, the stego-image quality in proposed method is better than that in GePVO-K method. Theoretical analysis and experiment results show that the proposed method has higher embedding capacity and better stego image quality than GePVO-K method.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"35 1","pages":"139-158"},"PeriodicalIF":0.0,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91337300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Novel Approach of Robust Hinf Tracking Control for Uncertain Fuzzy Descriptor Systems Using Parametric Lyapunov Function 基于参数Lyapunov函数的不确定模糊广义系统鲁棒Hinf跟踪控制新方法

Journal of Computer Science and Cybernetics Pub Date : 2020-02-27 DOI: 10.15625/1813-9663/35/4/13749

H. Anh, Cao Van Kien

引用次数: 1

DYNAMIC MODEL WITH A NEW FORMULATION OF CORIOLIS/CENTRIFUGAL MATRIX FOR ROBOT MANIPULATORS 基于科里奥利/离心矩阵新公式的机械臂动力学模型

Journal of Computer Science and Cybernetics Pub Date : 2020-02-27 DOI: 10.15625/1813-9663/36/1/14557

Le Ngoc Truc, N. Quyen, N. P. Quang

引用次数: 7

MODELING MULTI-CRITERIA DECISION-MAKING IN DYNAMIC NEUTROSOPHIC ENVIRONMENTS BASES ON CHOQUET INTEGRAL 基于choquet积分的动态中性环境多准则决策建模

Journal of Computer Science and Cybernetics Pub Date : 2020-02-27 DOI: 10.15625/1813-9663/1/1/14368

N. Thong, Cu Nguyen Giap, T. Tuan, P. Chuan, Pham Minh Hoang, D. Dong

引用次数: 2

A SELF-BALANCED CLUSTERING TREE FOR SEMANTIC-BASED IMAGE RETRIEVAL 基于语义的图像检索自平衡聚类树

Journal of Computer Science and Cybernetics Pub Date : 2020-02-27 DOI: 10.15625/1813-9663/36/1/14347

Nguyen Vu Uyen Nhi, Lê Mạnh Thạnh

{"title":"A SELF-BALANCED CLUSTERING TREE FOR SEMANTIC-BASED IMAGE RETRIEVAL","authors":"Nguyen Vu Uyen Nhi, Lê Mạnh Thạnh","doi":"10.15625/1813-9663/36/1/14347","DOIUrl":"https://doi.org/10.15625/1813-9663/36/1/14347","url":null,"abstract":"The image retrieval and semantic extraction play an important role in the multimedia systems such as geographic information system, hospital information system, digital library system, etc. Therefore, the research and development of semantic-based image retrieval (SBIR) systems have become extremely important and urgent. Major recent publications are included covering different aspects of the research in this area, including building data models, low-level image feature extraction, and deriving high-level semantic features. However, there is still no general approach for semantic-based image retrieval (SBIR), due to the diversity and complexity of high-level semantics. In order to improve the retrieval accuracy of SBIR systems, our focus research is to build a data structure for finding similar images, from that retrieving its semantic. In this paper, we proposed a data structure which is a self-balanced clustering tree named C-Tree. Firstly, a method of visual semantic analysis relied on visual features and image content is proposed on C-Tree. The building of this structure is created based on a combination of methods including hierarchical clustering and partitional clustering. Secondly, we design ontology for the image dataset and create the SPARQL (SPARQL Protocol and RDF Query Language) query by extracting semantics of image. Finally, the semantic-based image retrieval on C-Tree (SBIR CT) model is created hinging on our proposal. The experimental evaluation 20,000 images of ImageCLEF dataset indicates the effectiveness of the proposed method. These results are compared with some of recently published methods on the same dataset and demonstrate that the proposed method improves the retrieval accuracy and efficiency.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"104 1","pages":"49-67"},"PeriodicalIF":0.0,"publicationDate":"2020-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74957678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3